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ON Semiconductor Corporation, together with its subsidiaries, manufactures and sells semiconductor components for various electronic devices worldwide. The company operates in three segments: Power Solutions Group (PSG), Advanced Solutions Group (ASG), and Intelligent Sensing Group (ISG). The PSG segment offers analog, discrete, module, and integrated semiconductor products for various applications, such as power switching and conversion, signal conditioning, circuit protection, signal amplification, and voltage regulation functions. The ASG segment designs and develops analog, mixed-signal, logic, Wi-Fi, and application specific integrated circuits and standard products, as well as power solutions for various end-users in the automotive, consumer, computing, industrial, communications, medical, and aerospace/defense markets. It also provides trusted foundry and design services for government customers; and manufacturing services. The ISG segment offers complementary metal oxide semiconductors and charge-coupled device image sensors, proximity sensors, image signal processors, single photon detectors, and actuator drivers for autofocus and image stabilization for a range of customers in automotive, industrial, consumer, wireless, medical, and aerospace/defense markets. The company serves original equipment manufacturers, distributors, and electronic manufacturing service providers. ON Semiconductor Corporation was incorporated in 1992 and is headquartered in Phoenix, Arizona.

ON Semiconductor

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Semiconductor stocks moving on news Monday included Arm Holdings, Micron Technology and Taiwan Semiconductor Manufacturing.

Semiconductor Stocks Arm, Micron, TSMC Advance On Positive News | Investor's Business Daily

The Biden administration said Monday it plans to send $6.6 billion in grants to the Taiwan Semiconductor Manufacturing Company, while the chipmaking giant said it would expand its footprint in Arizona.

TSMC gets $6.6 billion in chipmaking cash from Biden while pledging to build a third Arizona plant

The Evolution of Data Center Cooling: From Air-Based Methods to Free Cooling

USDA Farmers' Bulletin No. 2277: Computers on the Farm, by Deborah Takiff Smith is part of the HackerNoon Books Series. You can jump to any chapter in this book here .
 Glossary of Computer Terms Glossary of Computer Terms Listed below are some of the shorthand or jargon terms in the computer field. Understanding these terms will help you discuss hardware and software systems and their operation. A number specifying a particular location in the computer's memory. ADDRESS: : A relatively easy-to-use computer language that comes with most small and personal computer systems. BASIC (Beginner's All-purpose Symbolic Instruction Code) The speed at which information is exchanged over communications lines, generally expressed in characters per second. 300 baud is the most common rate. It is equivalent to 30 characters per second. BAUD RATE: A two-digit numbering system based on the digits 0 and 1. It is the basis for calculations on all computers, and the basis for storing and retrieving information, including alphabet characters. BINARY: The smallest unit of information the computer recognizes. A bit is represented by the presence or absence of an electronic pulse, 0 or 1. BIT: A fault or error in a computer program. BUG: A byte is composed of several bits, and is used to represent one character—such as a letter, number, or punctuation mark. The older microcomputer systems used 8 bits per byte, but the newer ones are based on 16 or 32 bits per byte. BYTE: A thin silicon wafer on which electronic components are deposited lithographically in the form of integrated circuits. CHIP: : A high-level programing language widely used in business applications. COBOL (Common Business-Oriented Language) : Two or more computers that are connected so they can exchange information. COMPUTER NETWORK : A collection of instructions that together direct the computer to perform a particular function. COMPUTER PROGRAM : A popular operating system for small computers. CP/M (Control Program for Microprocessors) : The part of the computer that controls and organizes the operations of the other parts of the computer and does the calculations. CPU (Central Processing Unit) « 35 » : A video screen that can be used for viewing output. CRT (Cathode Ray Tube) : The information, such as numbers or letters, that are put into the computer system. DATA : To remove the errors in a computer program. DEBUG : A program for detecting and isolating a problem or mistake in the computer system; features that allow systems or equipment to self-test for flaws. DIAGNOSTIC : A revolving plate on which data and programs are stored. Also called DISKETTE. DISK : A part of the computer system that reads and writes material on the disk. It can be part of the main hardware or a peripheral attached to the system. DISK DRIVE : 1. The instruction manual for a program (software) or piece of hardware. 2. The process of describing a computer program so others using the program can see how it works. DOCUMENTATION : Any time a computer is not available or not working because of a machine fault or failure. Downtime includes repair delay time, repair time, and machine-spoiled work time. DOWNTIME : To change or add data to an existing document or program. EDIT : A small, flexible storage device made of magnetic material. It looks like a soft phonograph record and is usually 5¼ inches or 8 inches in diameter. FLOPPY DISK : A computer language widely used to solve scientific and engineering problems, mainly for large commercial systems. FORTRAN (FORmula TRANslation) : Meaningless information. GARBAGE : A printout on paper of information from the computer. HARD COPY : All the physical parts of the computer system, including the computer itself, the input and output equipment and peripherals, and the physical disk or tape equipment. (The computer programs are software.) HARDWARE : The data that are put into the computer, or the process of putting it in. INPUT : A group of bits that designates a specific computer operation. INSTRUCTION : An electronic circuit or combination of circuits contained on semiconductor material, or chip. INTEGRATED CIRCUIT : A computer system that allows two-way communication between the user and the computer. INTERACTIVE « 36 » : A piece of equipment used to connect two parts of a computer system that cannot interact directly with each other. INTERFACE : A measure of computer memory capacity. Each K of information is 1,024 bytes. K (kilobyte) : To put data or programs into a computer. LOAD : A recording device used to store programs and data. It resembles audio tape used in tape recorders. MAGNETIC TAPE : That part of the computer that stores information. Also, the external material, such as floppy disks, hard disks, or cassette tapes that store information. MEMORY : A small computer in which the CPU is an integrated circuit deposited on a silicon chip. MICROCOMPUTER : A silicon chip that is the central, controlling part of the computer. MICROPROCESSOR : A computer that is usually larger, more powerful, and more expensive than a microcomputer, but is smaller than a mainframe in memory and functions. MINICOMPUTER : A device used to attach a computer or one of its devices to a communication line, often a telephone. MODEM (MODulator/ DEModulator) : A special group of programs which controls the overall operation of a computer system. It mediates between the hardware and the particular software program. OPERATING SYSTEM : The information generated by a computer. OUTPUT : A device, such as a CRT, disk drive, or printer, used for entering or storing data into, or retrieving it from, the computer system. PERIPHERAL : An output device to print the information from a computer. PRINTER : A set of coded instructions directing a computer to perform a particular function. PROGRAM : A special language of words and rules that is used to write programs so the computer can understand them. PROGRAMING LANGUAGE : The portion of the computer's memory in which data, instructions, and other information are stored temporarily. Also called read-write memory. RAM (Random Access Memory) : The portion of the computer's memory that contains information and instructions that are stored permanently. This memory cannot be altered or added to. ROM (Read Only Memory) « 37 » : A material such as silicon with a conductivity between that of a metal and an insulator. It is used in the manufacture of solid-state devices such as diodes, transistors, and the complex integrated circuits that comprise computer logic circuits. SEMICONDUCTOR : A general term for computer programs, procedural rules, and sometimes the documentation involved in the operation of a computer. SOFTWARE : The computer and all its related components, including hardware and software, that work together. SYSTEM : A peripheral device through which information is entered into or extracted from the computer, usually with a keyboard and an output device such as a CRT or printer. TERMINAL : A method by which more than one person can use a computer at the same time at separate terminals. TIMESHARING : A computer system that has all hardware and software installed. Supposedly, all you have to do is turn it on. TURNKEY SYSTEM : Typing, editing, storing, and printing text with a computer. WORD PROCESSING The mention of commercial products, services, or companies does not constitute endorsement by the U.S. Department of Agriculture. If additional computer services of interest to the agricultural community are available, we would be glad to consider them for inclusion in possible revisions of this bulletin. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Smith, Deborah Takiff. 2019. USDA Farmers: Bulletin No. 2277: Computer on the Farm. Urbana, Illinois: Project Gutenberg. Retrieved May 2022 from https://www.gutenberg.org/files/59316/59316-h/59316-h.htm This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

Computers on the Farm: Glossary of Computer Terms

Artificial intelligence is perhaps the only technology that, without exaggeration, can be described as a "game-changer." From unlocking the natural world's mysteries to turning everyday objects like drones into smart weapons, grant enormous power to countries and companies that control and use them. And it seems only natural that the newly elected President of the United States is seeking to cement America's position as the world's leading AI superpower. In this article, we'll investigate the four major areas where applies and how the new policies will affect the governmental structures, local businesses, and ordinary Americans. artificial intelligence solutions Biden's national AI strategy A sneak peek of Joe Biden's national AI strategy: here's what to expect "Continued American leadership in AI is of paramount importance to maintaining the economic and national security of the United States and to shaping the global evolution of AI in a manner consistent with our Nation's values, policies, and priorities." President Donald J. Trump, February 11, 2019 Although the Trump administration launched the first-ever national AI strategy a few years earlier, it was not until Joe Biden took office that federal AI spending reached a historic high. Through 2021, Washington $6 billion into AI-related R&D projects and initiatives. The country's renewed interest in artificial intelligence is largely ignited by Biden's plan to challenge China and its views on AI usage. In the spring of 2022, the National Artificial Intelligence Research Task Force an interim report highlighting the national artificial intelligence strategy and implementation plan, with the full report expected later that year. Experts believe that the US AI strategy will cover complex scientific, economic, social, and security issues of artificial intelligence and the associated technologies, such as data storage and processing platforms. could invest is set to present The government wants America to lead the artificial intelligence race A 2020 indicates that 82% of Americans "are somewhat or very concerned" about other countries being more advanced in AI than the United States. And there's no smoke without fire.Although the United States is still leading the artificial intelligence race, China boasts superior monitoring and surveillance technologies, which are often used to suppress its citizens and control other countries' information flows.Instead of strengthening authoritarianism, US companies and governmental agencies are focused on the commercial applications of artificial intelligence. Simply put, America would rather have advanced self-driving vehicles than an AI-powered version of Orwell's Big Brother. And Biden's national AI strategy will most likely become a counterpoint to how China believes the technology should be used. Several steps have already been taken in this direction. The US National Security Commission on Artificial Intelligence (NSCAI), an independent organization established in 2018 to spur artificial intelligence development in the country, urges the government to form strategic partnerships with private companies and fellow democracies. In addition, NSCAI believes the new administration needs to allot $40 billion to further expand and democratize R&D activities in the AI field. The US government to establish a Technology Competitiveness Council to create national strategies for seven emerging technologies, including artificial intelligence. In particular, US officials are interested in leveraging AI to prevent the malicious use of biotechnology, including genomic weapons. In light of Biden's decision to into the origins of COVID-19 — some theories suggest that the virus was created in a laboratory and released through an accidental leak — the country's priorities do not come as a surprise. AI survey conducted by RELX is also looking order a new investigation The US national AI strategy pivots on fostering technology talent Another issue to be addressed by the national artificial intelligence strategy is, undoubtedly, the aggravating shortage of AI talent. Following a temporary slump in 2020, the demand for AI/ML engineers, and artificial intelligence consultants is again rising. , 39% of companies cite a lack of technical expertise as the primary reason for not using artificial intelligence, while those who successfully adopted AI are seeing "the most acute shortages of talent." Additionally, limited knowledge of artificial intelligence and the underlying technologies 53% of enterprises from deploying AI solutions company-wide. Given that AI skills shortage is a daunting problem in most developed countries, the US government will need to build an entirely new artificial intelligence talent pipeline by improving STEM education and hiring highly skilled immigrants. Private companies are gearing up for the AI revolution too. According to the RELX study cited above, 75% of enterprises now offer some kind of AI training (up from 46% five years ago). Greater availability of artificial intelligence education programs will ultimately help prepare the workforce for AI system integration across all industries and economic sectors. skilled data scientists, According to ZDNet prevents The national AI strategy depends on semiconductor manufacturers Artificial intelligence systems — especially smart applications running on devices rather than in the cloud — require powerful chips. Unfortunately, for decades, the lion's share of computer chips have been manufactured in Taiwan and mainland China, which led to a severe semiconductor shortage in 2020. And we're dealing with its consequences to that day. What initially appeared to be a mere delay in supplies as chip production came to a halt amid the pandemic evolved into a massive crisis, in some way. In particular, the crisis . At the same time, consumer electronics juggernauts like Apple and Samsung the launches of new products or failed to fulfill contractual agreements.As part of the national artificial intelligence strategy, the government is looking to and reduce the country's reliance on hardware companies located in Asia. affecting 169 (!) industries cost the automotive industry $110 billion had to postpone bring chip manufacturing back President Biden requested a whopping $442 million budget for strategic manufacturing programs, including $150 million for two newly established manufacturing units whose sole purpose will be producing chips for industrial equipment, consumer electronics, and other devices with AI capabilities. All of this could help the United States mitigate the aftermath of the ongoing chip shortage crisis caused by the growing shift to online work, education, and entertainment. Meanwhile, a report from NSCAI indicates that $35 billion is needed to give the country's microchip industry a second wind Artificial intelligence becomes part of the national security strategy Artificial intelligence has emerged as a double-edged sword for the government and businesses alike. In addition to helping fight cybercrime and improve safety in public places, the technology underlies cyberattacks and disinformation campaigns targeting the US institutions and critical infrastructure facilities, including . Ultimately, that's another reason why the Biden administration is hoping to lure chip manufacturers back. As the United States and China are lingering on the edge of a cold war, it is essential to prevent the worst-case scenario where semiconductor supply chains could be disrupted indefinitely, sending the US governmental and military organizations and businesses across various verticals into a freefall. The US congressmen the new administration to enforce the nation's security mechanisms, laws, and infrastructure, citing recent ransomware and as a primary example of a rising threat to operational technology. As of 2021, the bills regulating the use of artificial intelligence in at least 16 states. water systems and power grids are also pressing adversarial attacks have been introduced How the national AI strategy will benefit America When we talk about artificial intelligence and , we think about productivity, cost optimization, and gaining a competitive advantage over our rivals. Similarly, the government needs a comprehensive AI strategy to strengthen America’s geopolitical position and national welfare.In the not-so-distant future, President Biden's ambitious plan could yield impressive results, by 2030. its applications in business leading to a 37% GDP growth Additionally, the nation-wide adoption of artificial intelligence will favorably impact: With Russia and China 30% of its military power with AI capabilities by 2030, America needs to rethink its defense strategy, seamlessly integrate AI into military systems, and introduce the government regulation of artificial intelligence to ensure its responsible usage. Military capabilities. planning to augment . According to RELX, 63% of companies that actively use artificial intelligence reported the technology's positive impact on their ability to pull through the COVID-19 crisis. When applied on the national scale, AI could help the country ensure uninterrupted production flaws and near-normal operations of critical infrastructure facilities. Economic resilience . From data scientists and AI engineers responsible for creating and deploying AI systems to specialists with industry-specific expertise who will oversee and adjust the performance of intelligent algorithms, the AI revolution might prove a viable solution to the ongoing unemployment crisis, than it's going to kill. Employment creating more jobs The US society might not fully understand AI's impact on the country's economy, security, and welfare in the coming years — and what the government's plans regarding artificial intelligence really are. To fill in the knowledge gaps, the White House Office of Science and Technology Policy the new version of AI.gov. This website provides a wealth of information about the AI-related laws, strategic projects, and steps the federal government is taking to secure America's dominance in the artificial intelligence field. has recently launched If your company is having a hard time developing your own AI strategy, please ! Together, you'll build a smarter, safer, and better future! contact ITRex team

An In-Depth Look at Biden's National AI Strategy

Cybersecurity stocks enjoyed a strong 2023 off the back of a generative AI boom that has posed new challenges to the industry as a whole. As rapidly advancing artificial intelligence brings fresh problems and solutions for online privacy and safety, could we see cybersecurity stocks emulate the astonishing success of semiconductor firms like Nvidia over the year ahead? Today, online businesses are having to counter increasingly sophisticated threats. that global cyberattacks have grown between 40% to 45% in 2023, with major breaches striking Las Vegas hotel operators MGM Resorts and Caesars Entertainment as well as genomics and biotech firm 23andMe. Forbes data suggests The , buoyed by advancing technologies like AI, has prompted a widespread increase in cybersecurity spending among businesses. According to Gartner data, worldwide end-user spending on security and risk management is set to in 2024, representing a 14.3% increase over last year. severity of cyberattacks reach $215 billion This heightened emphasis on cybersecurity spending has led some Wall Street analysts to suggest that the industry is next in line for a growth spurt, with generative AI growth helping to pave the way for more sophisticated defensive solutions for leading players. “Cybersecurity is becoming increasingly important as enterprises and organizations rely more on technology,” , head of investment advice at Freedom Finance Europe. “The rise in cybercrime has led to an increased demand for cybersecurity products and services, and it is expected that this demand will continue to grow in 2024.” explains Maxim Manturov In 2023, the emergence of generative AI, sparked by OpenAI’s launch of ChatGPT, paved the way for a significant market rally that saw semiconductor stocks undergo major market rallies, with Nvidia [NASDAQ: NVDA] stock returning more than 220% over the calendar year. Could the growing need for security solutions push cybersecurity stocks into similar territory over the year ahead? Emulating the 2023 Semiconductor Boom The underlying reason why semiconductor stocks like Nvidia and AMD [NASDAQ: AMD] were so popular in 2023 was that they were quickly identified as the firms best placed to facilitate the widespread adoption of generative AI solutions. Semiconductor manufacturers had the power to produce chips to support Large Language Models for businesses seeking to embrace GenAI, and investors decided to bet big on the revenues that this would bring. As we can see from the iShares Semiconductor ETF [NASDAQ: SOXX], the industry as a whole enjoyed significant growth in 2023 that nearly doubled that of the S&P 500 over the year. With both Nvidia and AMD posting triple-digit gains, it’s clear that investor appetite for generative AI was focused largely on semiconductors. Using the First Trust NASDAQ Cybersecurity ETF [NASDAQ: CIBR] as an example, we can see that the cybersecurity industry enjoyed strong growth that also outperformed the S&P 500. But could there be room for online security to take center stage in 2024? Security Risks and Opportunities of GenAI Forecasts suggest that generative AI will become omnipresent across enterprises in the future. As much as have reported that they are or will soon be using Large Language Models (LLMs) as part of their operations, with 57% expressing the same intentions. 69% of public sector companies While generative AI adoption is widely regarded as a powerful disruptive force across a vast range of industries, there are also many concerns surrounding the security threats they could pose. The adoption of LLMs raises concerns about the risks of using third-party models and their capabilities in a largely unregulated space. This rapid growth of generative AI is pushing more organizations into ramping up their artificial intelligence initiatives without sufficient guidelines or regulations in place to ensure that both AI and LLMs are safe and ethically sound. While this means that embracing AI at scale could be seen as a threat, it also offers fresh ways for companies to combat cybercrime. With many small businesses and startups incapable of building security teams to counter threats, defensive AI can offer all organizations a to keep cybercriminals at bay. valuable framework “As AI crosses a new threshold, security predictions at scale are becoming more tangible,” , CTO at IBM Security. “Although early security use cases of generative AI focus on the front end, improving security analysts’ productivity, I don’t think we’re far from seeing generative AI deliver a transformative impact on the back end to completely reimagine threat detection and response into threat prediction and protection. suggests Sridhar Muppidi “The technology is there, and the innovations have matured. The cybersecurity industry will soon reach a historic milestone, achieving prediction at scale.” Innovative Cybersecurity to Bring Wall Street Growth As generative AI presents more sophisticated risks to online businesses, cybersecurity firms that embrace artificial intelligence can be best placed to combat threats more effectively and consistently. This will invariably present new opportunities to investors on Wall Street, with leading cybersecurity stocks already working on comprehensively embracing AI solutions. With this in mind, three cybersecurity stocks could be well placed to emulate the success of leading semiconductor firms on Wall Street should investors turn their attention to AI defences in 2024: 1. Fortinet Inc [FTNT] \Fortinet is no stranger to parabolic growth on Wall Street, having made spectacular gains in the wake of the pandemic-driven push towards digital transformation in recent years. The firm has seen much of its growth emerge from the firewall market, which analysts believe has been steadily improving over the second half of 2023. The beauty of Fortinet is that , managing director at Bank of America, believe that the stock is trading at a “significant discount” in comparison to the firm’s bull and bear scenarios, which still implies a 4% upside in a worst-case scenario. analysts led by Tal Liani 2. CrowdStrike [NASDAQ: CRWD] CrowdStrike became one of the most impressive cybersecurity performers in 2023 and is readily embracing generative AI solutions to add further strength in the future. The firm is a leading resource for endpoint security and specializes in antivirus, detection, response, and combatting malware. In May 2023, CrowdStrike , a generative AI security analyst that provides automated detection and response to assist users of all skill levels to identify and stop breaches in a more simplified manner. The LLM will also enable customers to ask questions in dozens of languages to receive more accurate and intuitive responses from the CrowdStrike Falcon platform. introduced Charlotte AI 3. Microsoft [NASDAQ: MSFT] Tech giant Microsoft always has the power to enter industries and become a market leader, and the recent in-roads the firm has been making in cybersecurity could help its stock to become recognized as a prominent force in the sector. Having recently implemented a new AI assistant within the Microsoft Security Copilot platform, Microsoft’s cybersecurity capabilities are continuing to grow thanks to artificial intelligence solutions. In November 2023, what the company termed “the next major step in this industry-defining vision: combining the power of leading solutions in security information and event management (SIEM), extended detection and response (XDR), and generative AI for security into the first unified security operations platform.” Microsoft announced This AI-driven security upgrade for Microsoft Security Copilot further underlines the stock’s position as a key innovator in the field of . cybersecurity Can Cybersecurity Emulate the Semiconductor Boom? The semiconductor industry benefitted from having a strong relationship with generative AI due to its key role in implementing the technology. While the GenAI boom was a rare instance that brought floods of investor optimism and growth to global markets, it’s reasonable to expect cybersecurity to experience growth as the implications of the technology place a greater emphasis on security. Although emulating Nvidia’s significant 2023 rally may prove to be a little on the ambitious side, generative AI will likely ensure that cybersecurity innovators remain more relevant than ever in the future.

Could Cybersecurity Stocks Be Next In-Line to Emulate the Success of 2023’s Semiconductor Boom?

সাইবারসিকিউরিটি স্টকগুলি কি 2023 এর সেমিকন্ডাক্টর বুমের সাফল্যকে অনুকরণ করতে পরবর্তী ইন-লাইন হতে পারে?

Könnten Cybersicherheitsaktien als nächstes an den Erfolg des Halbleiterbooms im Jahr 2023 anknüpfen?

¿Podrían las acciones de ciberseguridad ser las próximas en emular el éxito del auge de los semiconductores de 2023?

Les actions de cybersécurité pourraient-elles être les prochaines à imiter le succès du boom des semi-conducteurs de 2023 ?

क्या 2023 के सेमीकंडक्टर बूम की सफलता का अनुकरण करने के लिए साइबर सुरक्षा स्टॉक अगली कतार में हो सकते हैं?

2023 年の半導体ブームの成功を真似るのはサイバーセキュリティ銘柄になる可能性があるでしょうか?

사이버 보안 주식이 2023년 반도체 붐의 성공을 모방할 수 있을까요?

As ações de segurança cibernética poderiam ser as próximas a emular o sucesso do boom de semicondutores de 2023?

Могут ли акции кибербезопасности стать следующими на очереди, чтобы повторить успех полупроводникового бума 2023 года?

Siber Güvenlik Hisseleri 2023'teki Yarı İletken Patlamasının Başarısını Taklit Edecek Sırada Olabilir mi?

Cổ phiếu an ninh mạng có thể trở thành cổ phiếu tiếp theo mô phỏng thành công của sự bùng nổ chất bán dẫn năm 2023 không?

网络安全股票能否效仿 2023 年半导体繁荣的成功？

Micheal Burry, the investor who rose to fame for anticipating the collapse of the US housing market and a subsequent Wall Street crash in 2008, has decided to bet big once again against semiconductor markets. Has the ‘Big Short’ star made another major call? Burry’s hedge fund, Scion Capital, in recent weeks, one focused on shorting 100,000 shares of BlackRock’s semiconductor ETF, the iShares Semiconductor ETF (SOXX), and the second shorted 2,500 shares in the online travel website Booking Holdings Inc. (BKNG). opened two new positions Scion Capital’s shorting activity has ramped up in 2023, with the hedge fund recently closing out ‘put’ positions on the SPDR S&P 500 ETF (SPY) and Invesco QQQ Trust (QQQ) at the end of September, with QQQ tracking the performance of the Nasdaq 100 index. But why has BlackRock’s iShares Semiconductor ETF been targeted? And should Wall Street be worried about Burry’s latest ‘Big Short’ coming to fruition? Shorting SOXX The iShares Semiconductor ETF (SOXX) is an exchange-traded fund that has gained almost 50% in the 2023 calendar year thanks to sustained exponential growth among key players like Nvidia Corp. (NVDA) and Advanced Micro Devices Inc., among other chipmakers. In shorting 100,000 shares in SOXX, Burry’s bet against the ETF according to Scion Capital’s 13-F filing with the SEC in mid-November. , amounts to around $47 million Opting to short SOXX is likely to raise many eyebrows throughout Wall Street and comes as a clear indication that Burry believes the ETF to be overvalued. Despite significant volumes of hedge funding arriving into semiconductor firms off the back of 2023’s boom, it’s clear that some investors believe that the market has begun to overvalue some key semiconductor firms like Nvidia, which power artificial intelligence services. generative AI While Nvidia’s stock has grown nearly 250% in 2023, the iShares Semiconductor ETF has consistently shown outperformance in recent years, exhibiting 38% growth over the past year, 207% growth over five years, and a monumental 600% growth since its launch in July 2001. Should the Semiconductor Market be Worried? As one of the stars of the semiconductor landscape, it’s worth looking at the sustainability of Nvidia as an indicator of the long-term viability of the semiconductor industry. Because of the AI boom, demand for Nvidia’s semiconductors is growing, even in spite of China’s export ban on high-end AI chips. But rapid growth can often lead to inflated valuations, and accompanying Michael Burry’s SOXX short is renowned investor George Soros, who through Q3 2023, according to recent 13F filings. cut his stake in Nvidia Should the semiconductor market be worried about this falling positive sentiment among some of Wall Street’s most notable players? Probably not when it comes to factoring in long-term growth. Nvidia is a stock that has built a key presence across multiple emerging industries that extend way beyond generative AI. In a future that could be built on autonomous driving and transport, semiconductors are likely to find an even greater purpose. In terms of Nvidia’s exposure to the automotive industry, an annual revenue run rate of around $1 billion once the technology gathers pace, the semiconductor giants anticipate. could become $300 billion Furthermore, Maxim Manturov, head of investment research at , has suggested that Nvidia’s prospects extend even further, with GPUs capable of enhancing “the user experience on computing platforms, particularly in PC gaming applications.” Freedom Finance Europe “Nvidia offers not only GPUs for artificial intelligence but also the Cuda software platform used to develop and train artificial intelligence models. Nvidia is also expanding its data center networking solutions to help connect GPUs to handle complex workloads,” Manturov explains. Competitivity and Innovation Remain a Long-Term Challenge Although it’s highly likely that demand for semiconductors won’t be declining any time soon, we may see more volatility arrive in the industry as competition intensifies and the quest for innovation becomes more challenging. In November, Microsoft into creating bespoke chips for AI programs in the cloud as Nvidia’s market dominance begins to come under new levels of scrutiny. announced its entry The development of two new processors, one built on a general-purpose chip based on Arm designs called Cobalt and another specialized AI accelerator named Maia, is set to be deployed through Microsoft’s Azure data centers and will provide support for services such as OpenAI and Copilot. In addition to this, shrinking semiconductor transistor sizes are making the steady progress experienced in years gone by considerably more difficult. “Deep learning was powered by hardware. We feel great pressure to continue,” , chief scientist at Nvidia. warned Bill Dally “It’s getting harder, but we still have good ideas…out to like four years out, we’ve got a pretty good idea of where the performance is coming from. And we have a lot of exploratory efforts to answer the question about where the performance is going to come from after that.” Volatility and Sustainability This uncertainty could bring more volatility to the high-performing semiconductor stocks of today, but a dedication to innovation is likely to ensure their long-term relevance to the market. While the likes of Michael Burry and George Soros appear to be anticipating a semiconductor market correction, the stocks remain as pertinent as ever in a world likely to lean heavily on the future of artificial intelligence.

‘Big Short’ Investor Michael Burry Turns Attention to Semiconductors: Does Nvidia Have to Fear?

'বিগ শর্ট' বিনিয়োগকারী মাইকেল বুরি সেমিকন্ডাক্টরদের প্রতি মনোযোগ দেন: এনভিডিয়াকে কি ভয় করতে হবে?

„Big Short“-Investor Michael Burry richtet seine Aufmerksamkeit auf Halbleiter: Muss Nvidia Angst haben?

El inversor de la 'gran apuesta' Michael Burry centra su atención en los semiconductores: ¿Nvidia tiene que temer?

L'investisseur « Big Short » Michael Burry se tourne vers les semi-conducteurs : Nvidia doit-il avoir peur ?

'बिग शॉर्ट' निवेशक माइकल बरी ने सेमीकंडक्टर्स पर ध्यान दिया: क्या एनवीडिया को डरने की ज़रूरत है?

「大物ショート」投資家マイケル・バーリー氏が半導体に注目：NVIDIAは恐れる必要があるのか？

'빅쇼트' 투자자 마이클 버리(Michael Burry)가 반도체로 관심을 돌리다: 엔비디아는 두려워해야 하는가?

O investidor ‘Big Short’ Michael Burry volta a atenção para os semicondutores: a Nvidia precisa temer?

«Большой короткий» инвестор Майкл Берри обращает внимание на полупроводники: стоит ли Nvidia бояться?

'Büyük Açık' Yatırımcı Michael Burry Dikkatini Yarı İletkenlere Çevirdi: Nvidia'nın Korkması Gerekiyor mu?

Nhà đầu tư 'Big Short' Michael Burry chuyển sự chú ý sang chất bán dẫn: Nvidia có phải lo sợ không?

“大空头”投资者迈克尔·伯里将注意力转向半导体：英伟达需要恐惧吗？

Electronic equipment and consumer electronics are produced in the electronics industry, as well as electrical components for a variety of items. Mobile phones, televisions, and circuit boards are all popular products in the electronics industry. Telecommunications, networking, computer components, industrial electronics, and consumer electronics are all part of the electronics industry. In recent decades, the electronics and semiconductors industry has seen exciting developments, with its evolution shaped by continuous technological advancements and innovations. The adoption of improved communication in a wide variety of consumer electronics may have affected a significant part of the industry's growth in recent years. Internet of things (IoT), artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) have all risen to the forefront of industry innovations. Furthermore, the adoption of semiconductor and electronics technologies in autonomous vehicles, home automation, and data centers has bolstered their capabilities. Emerging Benefits Many semiconductor companies have benefited from the emerging spectrum of applications of IoT-enabled electronics and AI-driven chips in a variety of application areas. Furthermore, the rapid commercialization of AR/VR in a variety of developing and industrialized countries has fueled new waves of opportunity in the electronics and semiconductors industries. , led by high-speed broadband standards such as 5G, will usher in new paradigms in the development of embedded chips. However, the steady adoption is likely to be hampered by serious security issues surrounding IoT communication. Next-generation networking systems Companies in the electronics industry have been focusing on continuously , mostly by . End-use sectors, such as automotive, defense, agriculture, and aerospace, have gained new technologies as a result of this. Another exciting field where the electronics and semiconductors industries can see progress is wearable technology. Developing economies, such as those in Asia Pacific, will rapidly emerge, offering new revenue sources to both new and existing players in the industry. improving product efficiency reducing power consumption Economic Volatility Customers in the B2B sector are also more vulnerable to economic volatility. In light of the economic downturn, B2B markets are falling faster and lower than personal consumption expenses. It's more important to keep an eye on the pulse of the market in order to identify opportunities or risks. Public data provides some relief and perspective. Foreign players operating through a broad range of industries and geographies, on the other hand, find it difficult to profit from the available data since it is frequently out of date and not comparable across nations, industries, or even indicators. A Closer Look At Key Indicators While a top-down global view of data shows demand points in emerging economies and concentrated in consumer electronics sectors, a closer look reveals more oriented gravity points from a geographical and industrial standpoint. Insight and market analysis will help businesses determine the potential market size for each B2B market segment and compare their output to the industry average. Key indicators that can be benchmarked include production development, profitability, labor costs, and supply structure. Market research assists decision-makers in identifying potential game-changers in order to better plan for and respond to the evolving market climate. Lead Photo by Marvin Meyer on Unsplash

Technological Advancements In The Semiconductor and Electronics Industry

From : Tech.eu is to British semiconductor firm , the country’s biggest listed technology company, for a total of £24.3 billion (approximately €29 billion) at £17 per share. The price represents a 43% premium over last week’s closing price. SoftBank acquire ARM ARM is seen as Britain’s most successful tech ventures in history. Based in Cambridge, it designs the microchips that power most every smartphone and tablet on the planet, including Apple’s iPhone. In 2015 alone, ARM’s customers shipped more than 15 billion chips.

Japan’s SoftBank agrees to acquire British semiconductor firm ARM for €29 billion

RAND Suggests Metaverses Could Operate as Modern Societal States

RAND পরামর্শ দেয় মেটাভার্স আধুনিক সামাজিক রাষ্ট্র হিসাবে কাজ করতে পারে

RAND schlägt vor, Metaversen könnten als moderne Gesellschaftsstaaten funktionieren

RAND sugiere que los metaversos podrían funcionar como estados sociales modernos

RAND suggère que les métavers pourraient fonctionner comme des États sociétaux modernes

RAND का सुझाव है कि मेटावर्स आधुनिक सामाजिक राज्यों के रूप में काम कर सकते हैं

RANDはメタバースが現代の社会国家として機能する可能性を示唆

RAND는 메타버스가 현대 사회 국가로 작동할 수 있다고 제안합니다.

RAND sugere que metaversos poderiam operar como estados sociais modernos

RAND предполагает, что метавселенные могут функционировать как современные социальные состояния

RAND, Meta Veri Dizilerinin Modern Toplumsal Durumlar Olarak İşleyebileceğini Öneriyor

RAND đề xuất Metaverses có thể hoạt động như các quốc gia xã hội hiện đại

兰德公司认为元宇宙可以像现代社会国家一样运作

Authors: (1) Renato P. dos Santos, CIAGE – Centre for Generative Artificial Intelligence in Cognition and Education. Table of Links Abstract and Introduction Materials And Methods Results and Analyses Prompts and generated texts Conceptualizing chemical reactions Deepening on understanding of chemical reactions Question about combustion Question about a graph of gases turning into water over time Question about the difference between atoms, molecules, and moles Deepening on the concept of mole Question about changing of state Question about an animated representation of water molecules undergoing phase changes Question about plasma, a state of matter Question about chemical bondings Question about illustration of chemical bonds Question about the essence of the type of chemical bonding Further analysis Conclusions Limitations of the study and possible future studies Author Contributions, Conflicts of interest, Acknowledgements, and References Question about plasma, a state of matter *: my teacher said that plasma is the fourth state of matter. but isn't plasma that thing they inject into a vein in the hospital?* P1 *: Your teacher is correct, and I understand the confusion. The term "plasma" is used in both physics and medicine, but they refer to entirely different concepts. Let's break them down:* ChatGPT ***1. Plasma (State of Matter): *** • In physics, plasma is often referred to as the "fourth state of matter" after solids, liquids, and gases. • Plasma is like a gas but with some key differences. In plasma, a significant number of atoms are ionized, meaning they have lost or gained electrons. This gives plasma unique properties, like the ability to conduct electricity and respond strongly to electromagnetic fields. • Examples of plasmas include the sun, lightning, and neon signs. The sun is essentially a giant ball of plasma, with hydrogen atoms undergoing fusion to form helium, releasing a tremendous amount of energy in the process. ***2. Plasma (Biological): *** • In a biological or medical context, plasma refers to the clear, yellowish fluid component of blood. It's what's left after you remove the red and white blood cells and platelets from blood. • Plasma makes up about 55% of total blood volume and contains water, salts, enzymes, hormones, and waste products. It serves as a transport medium for delivering nutrients to the cells and carrying waste products away. • When people donate "plasma" at a donation center, they're donating this component of their blood. So, while the terms are the same, the contexts are quite different. It's essential to know which "plasma" is being referred to based on the topic of discussion. Does this distinction between the two concepts of plasma clear things up for you? *: That’s a very good question. Plasma is indeed the fourth state of matter, but it is also a term used in medicine to describe the liquid part of blood. Let me explain the difference between these two types of plasma.* BingChat Plasma as a state of matter is a gas that has been heated or electrified to the point where some or all of its atoms lose their electrons. This creates a mixture of positively charged ions and negatively charged electrons that can conduct electricity and respond to magnetic fields. Plasma is very common in the universe, as it makes up most of the stars, including the sun. Plasma is also found in lightning, neon lights, and plasma displays[ ]. 123 Plasma as a part of blood is a yellowish fluid that carries water, salts, enzymes, proteins, hormones, and other substances throughout the body. It also helps with immunity, blood clotting, blood pressure, and pH balance. Plasma can be donated to help people who have lost blood due to injury, surgery, or disease. Plasma can also be used to make medicines for people who have certain conditions that affect their blood[ ] 456 So, as you can see, plasma can mean different things depending on the context. Both types of plasma are important for life and science, but they are not the same thing. I hope this helps you understand the difference between plasma as a state of matter and plasma as a part of blood. *: Yes, plasma is the fourth state of matter. It is a highly energized state of matter in which some or all of the atoms have been stripped of one or more of their electrons. This results in a gas of positively charged ions and negatively charged electrons.* Bard Plasma is the most abundant form of matter in the universe, accounting for over 99% of the visible universe. It is found in stars, nebulae, and other celestial objects. Plasma is also found on Earth, in lightning bolts, auroras, and other natural phenomena. Plasma is also used in a variety of industrial applications, such as welding, plasma cutting, and semiconductor manufacturing. The plasma that is injected into veins in the hospital is a type of blood plasma. Blood plasma is the liquid portion of blood that remains after the red blood cells, white blood cells, and platelets have been removed. It is a yellowish liquid that contains proteins, antibodies, and other nutrients. Blood plasma is used to treat a variety of medical conditions, including dehydration, malnutrition, and shock. It is also used to make plasma products, such as albumin and immunoglobulin. So, to summarize, plasma is both the fourth state of matter and a type of blood plasma. The two are not related, but they both have important roles. I hope this helps to clarify things. Please let me know if you have any other questions. *: Great observation! Plasma does indeed have two different meanings in science:* Claude 1. In chemistry and physics, plasma is considered the fourth state of matter, distinct from solids, liquids and gases. Plasma consists of highly ionized gas containing a mix of free electrons, positive ions, and neutral atoms. It can be created by heating a gas to very high temperatures. Natural examples include lightning and the Sun. 2. In medicine, plasma refers to the liquid portion of blood that contains proteins, nutrients, and ions like sodium and chloride. This plasma carries blood cells and helps regulate bodily processes. It makes up about 55% of total blood volume. So in summary: • Scientific plasma is a distinct state of ionized gas, created at extremely high temps. • Medical plasma is the liquid part of blood that suspends blood cells and transports useful substances. While both are important in their respective fields, they have very different definitions and properties. The medical usage of the term is probably more familiar to most people. But the concept of plasma as a state of matter is critical in physics and chemistry when studying things like nuclear fusion reactions. Let me know if this explanation helps differentiate the two meanings! It's an important distinction to understand. ChatGPT starts reassuringly with “Your teacher is correct” and "I understand the confusion," providing . It then proceeds to , addressing the need to differentiate the two meanings systematically with "Let's break them down" and expounding extensively a clear distinction between plasma as the fourth state of matter and blood plasma in the medical context with , as well as with the , recurring to real-world examples to explain the concept, like the “sun, lightning, and neon signs” as well as of people donating “‘plasma’ at a donation center”. It ends the explanation with Engagement & Interactivity by asking "Does this distinction ... clear things up for you?", inviting a response. also starts by giving positive feedback and personal recognition of the user's query with “That’s a very good question," providing . It then proceeds to with "Let me explain the difference," setting the tone for a structured explanation with strategy that contextualizes the significance of both plasmas in the universe and medical science, the referencing the sun, “lightning, neon lights, and plasma displays”, and links to external resources, offering It ends with , emphasizing the significance of the dual meaning of the word, by affirming that "Both types of plasma are important for life and science" and “I hope this helps you understand the difference” followed by an emoticon for a friendly touch of Engagement & Interactivity. Bard begins its Instructional Strategies with the straightforward “Yes” affirmation followed by a detailed distinction of both concepts with Detail Depth & Content Recommendation, progressing from the Use of Analogy & Comparative Illustrations with examples of “lightning bolts, auroras, and other natural phenomena” to a discussing the broader applications “in a variety of industrial applications, such as welding, plasma cutting, and semiconductor manufacturing”, as well “to treat a variety of medical conditions, including dehydration, malnutrition, and shock” to make products, “such as albumin and immunoglobulin”. It ends with in "Please let me know if you have any other questions" and with "I hope this helps to clarify things." initiates its response with a straightforward affirmation, "Yes", demonstrating its Instructional Strategies. It then elaborates in depth about the concepts, highlighting Detail Depth & Content Recommendation. Utilizing the , it gives examples like “lightning bolts, auroras, and other natural phenomena”. Venturing into , it underlines the broader applications in sectors such as “welding, plasma cutting, and semiconductor manufacturing”, and the medical utility “to treat a variety of medical conditions, including dehydration, malnutrition, and shock” and the creation of products like “albumin and immunoglobulin”. Wrapping up, it imparts a with "I hope this helps to clarify things” and fosters with "Please let me know if you have any other questions." also appreciates the user's observation with "Great observation!" demonstrating . It then turns to Instructional Strategies to make a clear distinction between the concepts, utilizing the by giving the examples of “lightning” and the “Sun”. Expanding into , it underlines the concept “is critical in physics and chemistry” with applications to “nuclear fusion reactions”. It ends with a with “Let me know if this explanation helps” and provides , by affirming that “It's an important distinction to understand.” Personalization & Personable Touch Instructional Strategies Detail Depth & Content Recommendation Use of Analogy & Comparative Illustrations BingChat Personalization & Personable Touch Instructional Strategies Meta-discussion & Perspective Framing Use of Analogy & Comparative Illustrations, Detail Depth & Content Recommendation. Reinforcement & Feedback Meta-discussion & Perspective Framing Engagement & Interactivity Personalization & Personable Touch Bard Use of Analogy & Comparative Illustrations Meta-discussion & Perspective Framing Personalization & Personable Touch Engagement & Interactivity Claude Personalization & Personable Touch Use of Analogy & Comparative Illustrations Meta-discussion & Perspective Framing Personalization & Personable Touch Meta-discussion & Perspective Framing This paper is under CC BY-SA 4.0 DEED license. available on arxiv

GenAIbots Answer Questions About Plasma, a State of Matter

GenAIbots প্লাজমা সম্পর্কে প্রশ্নের উত্তর দেয়, একটি পদার্থের অবস্থা

GenAIbots beantworten Fragen zu Plasma, einem Materiezustand

GenAIbots responde preguntas sobre el plasma, un estado de la materia

Les GenAIbots répondent aux questions sur le plasma, un état de la matière

GenAIbots पदार्थ की एक अवस्था, प्लाज्मा के बारे में सवालों के जवाब देते हैं

GenAIbotsがプラズマという物質の状態に関する疑問に答える

GenAIbots는 물질의 상태인 플라즈마에 관한 질문에 답변합니다.

GenAIbots respondem a perguntas sobre o plasma, um estado da matéria

GenAIbots отвечают на вопросы о плазме — состоянии материи

GenAIbot'lar Maddenin Bir Hali Olan Plazma Hakkında Soruları Yanıtlıyor

GenAIbots trả lời các câu hỏi về Plasma, một trạng thái của vật chất

GenAIbots 回答有关等离子体（物质的一种状态）的问题

Deep Learning: Edge Devices With mmWave FMCW Radars Part 1 - Signal Processing

ডিপ লার্নিং: mmWave FMCW রাডার সহ এজ ডিভাইস পার্ট 1 - সিগন্যাল প্রসেসিং

Deep Learning: Edge-Geräte mit mmWave-FMCW-Radaren, Teil 1 – Signalverarbeitung

Aprendizaje profundo: dispositivos perimetrales con radares mmWave FMCW Parte 1: Procesamiento de señales

Apprentissage profond : appareils Edge avec radars mmWave FMCW, partie 1 - Traitement du signal

डीप लर्निंग: एमएमवेव एफएमसीडब्लू रडार के साथ एज डिवाइस भाग 1 - सिग्नल प्रोसेसिंग

ディープラーニング: mmWave FMCW レーダーを搭載したエッジデバイス パート 1 - 信号処理

딥 러닝: mmWave FMCW 레이더를 사용한 엣지 장치 1부 - 신호 처리

Aprendizado profundo: dispositivos de borda com radares FMCW mmWave Parte 1 - Processamento de sinal

Глубокое обучение: периферийные устройства с радарами mmWave FMCW. Часть 1. Обработка сигналов

Derin Öğrenme: mmWave FMCW Radarlarına Sahip Uç Cihazlar Bölüm 1 - Sinyal İşleme

Học sâu: Thiết bị biên có radar mmWave FMCW Phần 1 - Xử lý tín hiệu

深度学习：配备毫米波 FMCW 雷达的边缘设备第 1 部分 - 信号处理

In the same league as the United States with of respondents using artificial intelligence (AI) in at least one of their business functions, progress in the Middle East and North Africa (MENA) can be seen — but there’s still significant untapped potential. Already AI is poised to deliver over 9% of the Middle East’s Gulf Cooperation Council (GCC) countries’ combined GDP, and the swift progress of generative AI implies that the figure will be quickly exceeded. 62% While many energy and materials companies, operating and competing internationally, are keen to raise production, distribution, and maintenance efficiency with AI, retail sectors are racing ahead; having long-mined consumer data to inform pricing and promotions. However, for industries like construction, getting started is a little more tricky since they either cannot yet collect the data required to train AI models or need additional technical expertise. Going deeper into the business functions, marketing and sales is the most common application of AI across MENA industries. What needs to be done to tap into other functions, such as supply chain management, risk, and corporate finance? The answer lies in the intersection of cultural, regulatory, and infrastructure changes — which are individually complex, if not thought out carefully. Bridging the Cultural Divide for AI in MENA While McKinsey’s highlights the need for internal transformation across the GCC, the UAE stands out as a leader in fostering the right culture and workflows to embed AI tools seamlessly. report As part of the region’s strategy to ensure students and employees have access to the right training and knowledge to build digital-native enterprises, the UAE established . This university educates and develops skills in computer vision, machine learning, natural language processing, and beyond. MBZUAI When it comes to making cultural shifts, it’s critical to ensure senior leadership is aware and on board with the scope of AI potential in each business function to justify budgets and needs holistically. Leaders must get the right training and unite board members to develop a business-led use case roadmap. The ideal blueprint comes with clear communication of the benefits of workflow changes, and what they mean for individual roles. As part of the change management process, appointed leaders that open multi-channel two-way communication can formally collect feedback and informally gather worker perceptions, praising or addressing any ideas and concerns. Involving team members in the process this way helps to boost acceptance and engagement with the strategy. Working with MBZUAI students will help UAE businesses build an AI-focused culture from the beginning. Businesses in the region may choose to invest in upskilling, collaborating with graduated tech specialists, or consider offshore services to bridge any talent gaps — although, this is where the regulatory challenges come in. Clearing the Red Tape: Streamlining Regulations for MENA’s AI Stringent data storage regulations in many MENA countries restrict companies from leveraging public cloud options abroad. This, coupled with a lack of globally established AI risk frameworks, creates roadblocks for organizations seeking to deploy AI, despite its perceived value. For this reason, predicts a significant rise in security and risk management (SRM) spending across the MENA region. Their forecast expects a 12.1% increase in 2024, reaching a total of US$3.3 billion. Investment in AI-powered SRM helps regional leaders to reduce the threat landscape, proactively identifying potential vulnerabilities or malicious behavior across their digital ecosystems. Gartner Organizations must establish policies that govern application usage and also implement training on cybersecurity incidents associated with employee behavior in their change management strategy. This will help minimize the risks of privacy and copyright infringement and align with the for handling personal data of identifiable individuals — which require MENA organizations to maintain a higher standard of data privacy and cyber security measures. GCC’s latest data protection laws With increased security, training, and governance, MENA companies reduce the risk of collaborating overseas, enabling them to maximize the global market. Building the Infrastructure for High-Speed AI It takes agile companies and infrastructure to scale globally. Yet, only of companies in the MENA region feel they have the technology infrastructure and architecture to support AI. UAE paves the way with the recently creation of MGX, a company focused on investing in: 35% announced data centers and connectivity AI infrastructure: logic and memory chip design and manufacturing Semiconductors: AI models, software, data, life sciences and robotics AI core technologies and applications: Data needs to flow through data pipelines like items on a production line. You can add parts and modify them to different customers or business use cases, but the core product is the same. This type of data structure is beneficial in the short term as it makes data transfer seamless. It also provides longer-term value by making it easier to integrate new technologies later down the line. This is where the UAE’s advanced training programs set the region as an AI frontrunner, ensuring regional data users understand how to navigate data pipelines efficiently. This is a two-pronged effort of flexible technological architecture and user-friendly analytics. With the right training and API-based middleware, employees can maximize a combination of intuitive applications across IT and business teams. These modern-built apps are rich in automation, helping teams alleviate manual, technical tasks and improve the employee experience. AI adoption in MENA is in full swing, with industries across retail, energy, and financial services looking at ways to increase efficiency. A solid change management plan rooted in the company culture makes a successful rollout possible. Strong regional performers will have a well-informed leadership team, clear AI objectives communicated, and investment into agile and scalable infrastructure. This article was originally published by on Maryam A Hassani 150sec.

Navigating the Future of AI in MENA Countries

In a recent interview with Lex Fridman, Sam Altman, CEO of OpenAI, shared his thoughts on the rapid progress of AI, the challenges that lie ahead, and his vision for a future driven by artificial general intelligence (AGI). Here are the key takeaways from their insightful conversation, along with additional points and reflections. https://youtu.be/jvqFAi7vkBc?si=Ublc79GkvNJGpqnR&embedable=true Oh, and by the way, if you’re interested in the latest breakthroughs in the world of AI, you’re welcome to subscribe to my newsletter, ‘ .’ It’s free! AI Hunters Key Takeaways: 1. : Altman predicts a significant increase in the demand for compute power as AI continues to advance. He believes that access to substantial compute resources will become a valuable global commodity, driving innovation and progress in AI development. AI Advancements and Compute Demand 2. Altman emphasizes the potential power shift associated with AGI development, cautioning against centralized control. He advocates for robust governance structures to ensure responsible and ethical deployment of AGI technologies. Collaborative efforts are essential to navigate this complex landscape. He also mentions the concept of "Q*" and the potential for AGI to have a significant impact on society AGI Power Dynamics and Governance: 3. Reflecting on the challenges faced during the OpenAI board saga, Altman acknowledges the lessons learned in building resilience for navigating future complexities in AGI research. These experiences have shaped OpenAI's approach to governance and decision-making processes, preparing the organization for future AGI-related endeavors. OpenAI Board Resilience and Learning: 4. : Altman views Elon Musk's lawsuit as a symbolic gesture regarding the future implications of AGI, emphasizing the need for open dialogue and collaboration in addressing AI challenges. He remains optimistic about a collaborative future with Musk and envisions healthy competition driving innovation in the AI industry. Elon Musk Lawsuit and Collaboration 5. : Altman anticipates AI models with extended context length, enabling personalized interactions and improved user understanding over time. However, he acknowledges the privacy implications associated with these advancements, stressing the importance of responsible data handling to protect user information. AI Model Evolution and Privacy Concerns 6. Altman predicts a transformative impact of Sora-like AI models on content creation, envisioning a future where AI-generated elements enhance human creativity in media production. He underscores the need for ethical deployment practices and oversight to mitigate risks associated with AI-generated content, such as deepfakes and misinformation. Sora AI Impact on Content Creation: 7. Altman envisions AI tools revolutionizing information access and synthesis, moving beyond traditional search engines to create personalized, context-aware information experiences. He emphasizes the potential for AI to adapt to user preferences and needs, enhancing information presentation and synthesis in innovative ways. Future AI Tools and Information Synthesis: Altman clarifies that Ilya Sutskever is not being held hostage in any secret facility. He shares his admiration for Ilya's leadership qualities, especially his ability to make great decisions in normal situations. 8.Ilya Sutskever: 9. : Sam Altman's vision of $7 trillion of compute being the currency of the future is a bold and ambitious plan that aims to revolutionize the semiconductor industry and AI infrastructure. This ambitious plan positions Altman to potentially become a major player in the global economy, managing a fund that rivals the GDP of many countries. $7 Trillion of Compute Additional Points and Reflections: : Altman's discussion on ChatGPT and DALL-E highlights the rapid advancements in AI technology, particularly in natural language processing and image generation. These developments underscore the transformative potential of AI in various fields and the need to adapt to the evolving capabilities of AI systems. AI Advancements Altman's emphasis on the importance of AI safety and alignment work reflects a critical aspect of responsible AI development. Acknowledging the risks associated with powerful AI systems and the need for careful alignment strategies is crucial for ensuring the safe deployment of AI technologies. AI Safety and Alignment: Altman's reflections on the best and worst case scenarios for AI depict a stark contrast between the immense benefits and potential risks of AI advancements. His recognition of the transformative power of AI for knowledge discovery and exploration contrasts with the grave concerns about accidental misuse and catastrophic outcomes. Best and Worst Case Scenarios: : The interview touches on ethical considerations in AI development, highlighting the need for responsible governance and alignment efforts. Altman's acknowledgment of the complexities surrounding AI ethics underscores the importance of navigating the ethical implications of AI technologies to ensure positive societal impacts. Ethical Considerations The discussion around Altman's departure from OpenAI sheds light on the challenges of leadership, governance, and decision-making in the AI industry. The tensions within OpenAI regarding the direction of the company and the balance between innovation, safety, and ethical governance underscore the complexities of managing AI organizations. Leadership and Governance: Altman's interview emphasizes the significance of collaboration, transparent communication, and stakeholder engagement in the AI landscape. The importance of maintaining robust communication channels, aligning organizational goals with values, and fostering partnerships for AI development are key considerations for navigating the dynamic AI ecosystem. Collaboration and Communication: In conclusion, Sam Altman's interview with Lex Fridman offers valuable insights into the evolving landscape of AI development, highlighting key considerations for the responsible advancement of artificial intelligence. By reflecting on the implications of AGI, governance challenges, and the transformative potential of AI technologies, stakeholders can navigate the complexities of AI development with a focus on ethical principles and collaborative innovation. P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

Unveiling Sam Altman's Insights from Lex Fridman Interview

United States v. Apple INC Court Filing, retrieved on March 21, 2024 is part of . You can jump to any part in this filing . This part is 14 of 25. HackerNoon’s Legal PDF Series here B. Smartphone Hardware 151. A smartphone’s hardware includes the frame and screen. Higher performing smartphones are typically constructed from better materials like glass and metal instead of plastic, manufactured to higher standards that make them more durable (e.g., water and dust proof), and have higher quality displays. 152. A smartphone’s hardware also includes the semiconductor chipsets that run the smartphone: central processing of software instructions, graphics, video, display, memory, data storage, and connection to wireless networks. Chipsets that offer superior performance—faster processing and network connections, better graphics, more storage—are costly. As a result, smartphone manufacturers typically include them only in more expensive performance smartphones. 153. Smartphone hardware includes other important components like cameras, and position and motion sensors. Performance smartphones typically have higher quality cameras, better battery life, wireless charging, and advanced biometrics such as face scanning. 154. Smartphones also contain several types of antennas that allow the phone to communicate with other smartphones, accessories, or other devices using standard communication protocols such as Wi-Fi, Bluetooth, and Near-Field Communications (NFC). a. Wi-Fi is a wireless networking technology that uses radio waves to provide wireless high-speed Internet access through mobile devices, computers, printers, and other equipment. “Wi-Fi,” in particular, refers to IEEE 802.11 standards that define the protocols that enable communications with current Wi-Fi-enabled wireless devices such as wireless routers and access points. b. Bluetooth is a wireless standard that allows smartphones to use shortwave radios to communicate with accessories like headphones and smartwatches. An industrywide Bluetooth standard specifies technological requirements to ensure that all Bluetooth devices can recognize and interact with each other. A typical Bluetooth signal has a range of about 30 feet. c. Near Field Communication (NFC) allows smartphones to interact with NFCenabled devices like a credit card terminal at a coffee shop. NFC relies on shortrange wireless technologies, including radio signals, to communicate and share information. To operate, two NFC-enabled devices must typically be within four centimeters or less of one another. 155. Three device manufacturers, Apple, Samsung, and Google, account for approximately 94 percent of all smartphones by revenue in the United States. Apple and Samsung alone account for approximately 90 percent of all smartphone revenues in the United States. 156. Cloud-based technologies are run using hardware and software in remote computing centers (“the cloud”) rather than by hardware and software on a smartphone. The user experiences the technology on the phone but the complex computing that generates the rich experience and that executes the user’s commands happens in the cloud. Thus, cloud apps can deliver rich experiences on smartphones with less capable hardware than iPhones currently contain. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on March 21, 2024, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. justice.gov

The Guarded Dominance of Apple, Samsung, and Google in the Smartphone Market

In today's edition: What does research say about how far we are from AGI? News from the usual subjects: Anthropic, Cohere, OpenAI, etc. The freshest AI&ML research papers from the week of Mar 4 — Mar 10 Though the question, “ ” predates the term “artificial intelligence” itself, it saw a significant resurgence on Twitter last week, prompted by the Musk vs. OpenAI lawsuit (Musk accuses OpenAI of abandoning open-source principles and prioritizing profit over safety, hindering the safe development of AGI.) . Today, we will discuss “How Far Are We from Intelligent Visual Deductive Reasoning?” “How Far Are We From Automating Front-End Engineering?” and Stephen Wolfram’s article “Can AI Solve Science?” These papers offer fascinating explorations of the differences between human and artificial intelligence. How far are we from achieving human-level intelligence in machines (or AGI, or ASI)? But far more interesting were the papers and an article that came out last week tackling this question Intelligent Visual Deductive Reasoning In “ ?”, researchers from Apple explore Vision-Language Models (VLMs), like GPT-4V, in visual-based deductive reasoning, a complex yet less studied area, using Raven’s Progressive Matrices (RPMs)*. How Far Are We from Intelligent Visual Deductive Reasoning *Raven’s Progressive Matrices is a nonverbal intelligence test measuring abstract reasoning, using patterns to assess cognitive functioning without language. What caught my attention was the finding that . The paper notes, “ ” This inability to deal with abstract concepts marks a fundamental difference between computational processing and human cognitive abilities. AI systems like VLMs struggle with tasks requiring abstract pattern recognition and deduction VLMs struggle to solve these tasks mainly because they are unable to perceive and comprehend multiple, confounding abstract patterns in RPM examples. Being a sophisticated pattern recognizer doesn’t equate to sentience. The observation that “ ” highlights , suggesting a nuanced aspect of intelligence that current AI lacks. Another intriguing point was the models’ overconfidence. all the tested models never express any level of uncertainty the importance of doubt and uncertainty in human cognition Automating Front-End Engineers In “ ”, researchers from Stanford University, Georgia Tech, Microsoft, and Google DeepMind have developed a benchmark for Design2Code, aiming to evaluate how well multimodal LLMs convert visual designs into code. Here, the replacement of humans came closer. Despite some limitations, there were considerable advancements in using generative AI to convert designs into front-end code. It’s remarkable that “ .” This finding challenges traditional notions of artistic and creative value, Design2Code: How Far Are We From Automating Front-End Engineering? annotators think GPT-4V generated webpages can replace the original reference webpages in 49% of cases in terms of visual appearance and content; and in 64% of cases, GPT-4V generated webpages are considered better questioning whether creativity is uniquely human or can be algorithmically reproduced — or even surpassed. However, . VLMs struggle with “ ” posing questions about understanding and interpretation. significant limitations persist recalling visual elements from the input webpages and generating correct layout designs. So, the important question is actually not how far we are from AGI (whatever it is), but how we embrace human-AI collaboration most effectively. AI Solving Science In that sense, Stephen Wolfram’s blog post “ ” serves as an excellent example. In the very beginning, he plainly states that AI cannot solve all scientific questions. However, there is significant value in AI assisting scientific progress. He discusses how LLMs can serve as a new kind of linguistic interface to computational capabilities, providing high-level “autocomplete” for scientific work. As he usually does, he emphasizes the transformative potential of representing the world computationally and suggests that pockets of computational reducibility* can be found by AI as well. Can AI Solve Science? *A pocket of computational reducibility — a fascinating concept introduced by Wolfram — is a situation or problem within a complex system where, despite the system’s overall unpredictability, predictable patterns or simplified behaviors emerge, allowing for easier understanding or calculation. Wolfram argues that AI can significantly aid scientific discovery by providing new tools for analysis and exploration, but its ability to completely “solve” science is limited by fundamental principles such as computational irreducibility. The future of AI in science lies in its integration with human creativity and understanding, leveraging its strengths to uncover new knowledge within the constraints of what is computationally possible. We might be able to survive without front-end developers (no offense intended), but scientists remain indispensable! To summarize: https://x.com/pmddomingos/status/1766945083314827455?s=20&embedable=true News from The Usual Suspects © Cohere and its commitment to the research community https://x.com/cohere/status/1767275128813928611?s=20&embedable=true Hugging Face Starting an ambitious open robotics project and hiring , a former Tesla scientist, to expand beyond software into robotics, including work on humanoid robots like Tesla’s Optimus. Remi Cadene Offers an amazing tool: https://x.com/maximelabonne/status/1767124527551549860?s=20&embedable=true Russia’s talent is invisible According to “The Global AI Talent Tracker 2.0”, Russia has no chance in the AI race: this analysis Inflection enhances its Pi Inflection , enhancing its personal AI, Pi, with IQ capabilities alongside its empathetic EQ. They claim to compete with GPT-4, achieving significant efficiency and performance improvements, especially in STEM areas, with less computational resource usage. launches Inflection-2.5 Chips TSMC (based in Taiwan), the world’s largest contract chipmaker, is for an Arizona chip plant. This funding, part of the CHIPS and Science Act of 2022, aims to boost domestic semiconductor production. TSMC’s $40 billion investment in the plant marks one of the largest foreign investments in U.S. history. expected to receive over $5 billion in U.S. federal grants OpenAI: new members on the board Sam Altman is reinstated as a member of the OpenAI board. , with a rich history as the CEO of the Bill and Melinda Gates Foundation, brings extensive experience in healthcare and philanthropy. , a seasoned executive with roles at Sony Entertainment and as a lawyer, offers legal and entertainment industry insights. , leading Instacart and with a background at Meta Platforms, including as head of Facebook, contributes expertise in technology and e-commerce. This diverse trio enhances OpenAI’s governance with their wide-ranging expertise and perspectives. He is joined by three women: Sue Desmond-Hellmann Nicole Seligman Fidji Simo Elon’s Grok https://x.com/elonmusk/status/1767108624038449405?s=20&embedable=true Anthropic Offers a great collection of prompts in its Prompt library Enjoyed This Story? I write a weekly analysis of the AI world in the newsletter. We aim to equip you with comprehensive knowledge and historical insights, so you can make informed decisions about AI and ML. Turing Post 🎁 Bonus: The freshest research papers, categorized for your convenience Enhancements in Language Models and Multimodal Understanding : Showcases an LLM’s intrinsic ability to understand and generate music, expanding LLMs’ applications beyond text. ChatMusician Read the paper : Demonstrates advanced multimodal understanding by processing extensive contexts of text, video, and audio. Gemini 1.5 Read the paper : Enhances TTS synthesis with a factorized diffusion model for zero-shot natural speech generation. NaturalSpeech 3 Read the paper : Utilizes fine-tuned MLMs for superior image-text data filtering, improving dataset quality for MLM training. Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters Read the paper : Introduces the first LLM designed for the legal domain, demonstrating proficiency in legal text understanding and generation. SaulLM-7B Read the paper Novel Training and Evaluation Techniques : Proposes a method for scaling instruction tuning in mathematical reasoning, significantly enhancing LLMs’ problem-solving abilities. MathScale Read the paper : Reveals redundancy in LLM layers and proposes a pruning strategy, maintaining performance while reducing model size. ShortGPT Read the paper : Enhances memory efficiency in LLM training without sacrificing performance by applying gradient low-rank projection. GaLore Read the paper : Develops a method for collaborative decoding among multiple LLMs, improving performance across various tasks. Learning to Decode Collaboratively with Multiple Language Models Read the paper : Advocates for training RL value functions through classification instead of regression, boosting performance and scalability. Stop Regressing Read the paper Advances in Generative Models and Data Synthesis : Introduces a framework for generating synthetic multimodal datasets, overcoming limitations in data privacy and diversity. MAGID Read the paper : Trains a generative model to create interactive virtual worlds from text, images, or sketches, advancing interactive environment simulation. Read the paper Genie Scalability and Efficiency in AI Systems : Details a system for training LLMs on over 10,000 GPUs, tackling challenges in training efficiency and stability at large scales. MegaScale Read the paper : Improves State Space Models with dense hidden connections for efficient large language models, enhancing performance with minimal parameter increase. DenseMamba Read the paper Exploring New Frontiers in AI and Machine Learning : Illustrates that planning and prediction in time series can be simplified through learned contrastive representations. Inference via Interpolation Read the paper : Employs simulated trial and error for tool learning, significantly enhancing LLMs’ practical application capabilities. LLMs in the Imaginarium Read the paper : Aims to improve context length generalization in LLMs by refining interpolation techniques for out-of-distribution token positions. Resonance RoPE Read the paper : Enhances the localization of behaviors in LLMs to specific components, improving diagnostic capabilities and model understanding. AtP Read the paper : Investigates using world models for enhancing visual representation learning, beyond reinforcement learning applications. Learning and Leveraging World Models in Visual Representation Learning Read the paper Platforms and Tools for Model Evaluation and Interaction : Provides a platform for evaluating LLMs based on human preferences, offering insights into model rankings through pairwise comparisons. Chatbot Arena Read the paper : Explores enhancing LLMs’ reasoning capabilities using RLHF, comparing different algorithms and reward strategies. Teaching Large Language Models to Reason with Reinforcement Learning Read the paper Also published . here

How Far Are We From Human-level Intelligence in AI?

HackerNoon editorial team has launched to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. ! this interview series with women in tech Share your story today Tell us about yourself! Absolutely! Well, to start, I'm passionate about clean/green tech and always seeking opportunities to support companies in adopting this approach, whether through investing, advising, or facilitating connections with relevant parties. I'm driven by the prospect of offering affordable products that rely entirely on renewable energy for charging, eliminating the need for wired connections. I'm particularly proud of the recognition my work has received within the telecommunications industry, such as the from CorpLiveWire for our product and overall affiliations. Overall, I'm excited about the chance to apply my skills and passion not only at my company, but also to contribute to other startups/SMEs, working towards achieving a carbon-neutral world by 2035. Specialist Telecommunications Agency Award 2023 Roam Telecoms Why did you choose this field in the first place? I chose to pursue a career in green and clean tech because I grew tired of constantly dealing with my phone's battery issues. I found it frustrating, especially when trying to stay active outdoors while relying on my phone for various tasks. This frustration, coupled with my New Year's resolution to adopt a healthier lifestyle, sparked the idea of creating a portable device that could be charged using solar energy. It was a light bulb moment for me, realizing the potential of utilizing the sun's energy to power everyday devices. This inspiration led me to develop the Roam Solar Phone, a product designed to provide a sustainable and reliable solution to the problem of battery life while on the go, and launch it during my final year of business school. What tech are you most excited/passionate about right now and why? Currently, I'm most excited about green and clean tech, particularly the advancements in solar-powered devices. My passion for this technology stems from personal frustration with traditional battery-powered devices and a desire to find sustainable solutions. The potential of harnessing solar energy to power everyday devices, like the Roam Solar Phone and the rest of our IP portfolio, and being able to push the R&D of future products to develop and being able to one day offer it to the masses at an affordable rate, is incredibly exciting to me. I believe that embracing green and clean tech not only addresses environmental concerns but also offers practical and innovative solutions to everyday challenges by being able to create a universal product everyone can be able to buy without breaking the bank and knowing the technology will last years. What tech are you most worried about right now and why? One area of technology that concerns me greatly is the issue of e-waste. The rapid advancement of technology has led to a constant stream of new gadgets and devices being introduced into the market, resulting in a significant increase in electronic waste. This e-waste poses serious environmental and health risks, as many electronic devices contain toxic materials that can leach into the soil and water if not disposed of properly. Additionally, the improper disposal of e-waste contributes to pollution and greenhouse gas emissions, further exacerbating the climate crisis. We must address this issue by promoting responsible recycling and disposal practices, as well as encouraging manufacturers to design products with longevity and recyclability in mind. By taking action to mitigate the impact of e-waste, we can work towards building a more sustainable and environmentally friendly future. What are your hobbies and interests outside of tech? Outside of my work in tech, I prioritize my health and well-being by engaging in various activities that allow me to unwind and recharge. I enjoy staying active through activities like going for a run or attempting to do yoga, which not only keeps me physically fit but also helps me maintain a balanced mindset. Additionally, I'm passionate about continuously improving my soft skills and interpersonal abilities, so I often seek out opportunities for personal development and self-improvement through networking events, courses, or even by reading. Spending quality time with my family and friends is also a top priority for me, as I value the connections and new memories we create together. Whether it's exploring new places, trying out new restaurants, or simply enjoying each other's company at home, these moments are incredibly meaningful to me. Let's talk about breaking the glass ceiling. What were the biggest challenges you faced as a woman in tech, and how did you deal with them? As a woman in the tech industry, I've faced the significant challenge of feeling overlooked or underestimated due to my gender and age in certain professional settings. However, I've learned to perceive these moments not as obstacles but as opportunities for personal growth and self-reflection. When I find myself in an environment where my contributions are not valued or respected, I realize that it may not be the right fit for me. Thus, I actively seek out spaces where my voice is heard and my perspective is valued. Fortunately, I've been privileged to surround myself with a supportive network of individuals who share a common vision and embrace the power of diversity and inclusion within the industry. By aligning myself with like-minded peers and mentors who champion these values, I've been able to overcome these challenges and continue to thrive in the tech sector, contributing my unique perspective and expertise. Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? While raising a Series A round for an energy start-up in late 2022, I encountered a situation where a capital partner company in London consistently undermined me, suggesting it would be better to hear from a man. Despite leading the investment round and possessing in-depth technical knowledge of the project, I was subjected to this dismissive behavior, because the information coming from a female wouldn’t be correct as if it were coming from a male engineer. I was simply taken aback, I ended up closing the meeting and looking for other investors who’d share the same vision as myself. If any investors talk down to a founder or any team member, because of their gender, I would highly suggest you walk away from the investment, as chances are if the LP has treated you this way and thinks it’s right then they’re doing it to others. It was a stark reminder of the stigma female founders, especially women of color, often face in the startup world. highlighted that only 3% of venture-backed companies are female-led, with even fewer if you're a person of color. Despite these challenges, I persisted, connected with the right individuals, and ultimately secured funding for the venture. Harvard Business Review What was the biggest setback/failure that you faced, and how did you manage it? One significant setback occurred in 2020 during the peak of the COVID-19 pandemic and the Global Chip Shortage, impacting various hardware-based industries, including automotive. To overcome this, we implemented an in-house initiative to recycle components and collaborated with IT companies to prevent e-waste. By recycling, extracting, and testing semiconductors, we were able to reuse them in client prototypes, mitigating the impact of the shortage. Another setback during the same period involved a failed PCB board delivery, with the manufacturer incorrectly altering the joints from our original file during production. We resolved this issue by manually jumping the board, although it prompted us to explore alternatives, such as 3D printing our PCBs internally for more effective control over production quality. What's your biggest achievement that you're really proud of? My greatest achievement comes from my professional accomplishments, which include building an extensive IP portfolio at Roam Telecoms alongside my exceptional team. Additionally, as a co-founder of , my media company, I'm excited about our upcoming launch of a new subsidiary company specializing in PR. Moreover, my role in an Asset Management company has afforded me the opportunity to work closely with SMEs, offering mentorship, facilitating connections, and making investments. I find great fulfillment in sharing knowledge and fostering a ripple effect where others can similarly empower those around them. TechGraph In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? The underrepresentation of women in tech can be attributed to several deep-rooted cultural and systemic factors, including early gender stereotyping that steers girls away from STEM fields, lack of prominent female role models, gender biases and discrimination in hiring and workplace cultures, and funding disparities faced by female tech entrepreneurs. Addressing this significant gender gap requires a multi-faceted approach, spanning educational reforms with focused STEM outreach for girls and revamped curricula, workplace initiatives like diversity training, fair practices, and anti-harassment policies, as well as increased investment and mentorship opportunities for women in tech. Fundamentally, achieving gender parity in the industry necessitates a cultural shift in attitudes towards women, coupled with systemic changes in education, workplaces, and funding ecosystems to create an inclusive and supportive environment that taps into the entire talent pool. Who is your tech idol? Why? I don’t really have a tech idol, but I would say my mother and my older sisters, as each female member of my family possess a trait to that I admire and work towards honing. Do you have any advice for aspiring girls who want to join the field? Don’t be afraid to step outside your comfort zone and speak up, always follow your gut instinct and pave your own path. Most importantly, always remember your worst days are actually your best, you learn a lot from it.

Women in Tech: Shanaz Khan's Journey of Building Sustainable Solutions in Tech

Look, I don't know where you fall on the spectrum of "does emulation promote piracy?", but the idea that a video game company like Nintendo can let off its army of lawyers on a bunch of hobbyists/programers/geeks like a pack of hungry wolves and force them to shut down AND pay over 2 million in dollars just because thinks emulation promotes piracy should alarm any and every one in the tech space. it To quote Steam Founder Gabe Newell: "Piracy is not a pricing issue. It’s a service issue." Amen to that, brother, AMEN! Microsoft's Xbox understands this. Sony's PlayStation understands this. But somehow, the memo was lost on Nintendo which thought it was absolutely ok to force Tropic Haze, the company behind Switch emulator Yuzu and 3ds emulator Citra, to shut down its websites, take down its code repositories AND pay $2.4 million because, apparently, its software allowed people to illegally play Zelda. Nevermind the fact that thousands of people legally pay for Nintendo titles and emulate them on a different hardware because it plays better or because it provides more accessibility. But of course, that's the kind of rhetoric that would fall on deaf ears at Nintendo HQ. Instead, you have Nintendo coming out of the woods to protect its iNtElLeCtUaL pRoPeRtY whenever someone makes a fan project, a ROM website full of abandonware titles, or literally dozens of instances where people just want to do cool and different things with its video game titles. Ironically, except for a handful of titles that Nintendo offers through its online subscription service, there is no "legal" way to play games from the yesteryears without actually emulating them. Emulating video games also ties into video game preservation, but that's a whole different topic altogether. On top of that, Nintendo won't even port its major titles to the PC. Perhaps because it doesn't want to share revenue with others OR it wants to keep selling the Switch consoles. Whatever the case may be, it still SUCKS that Nintendo would just blatantly shut down a project like Yuzu. In some ways, one could argue that this is an attempt by one of the most successful companies in the world to make an example out of a project that is born out of passion. But what does that get the company ultimately? It's already massively rich, and all it's achieving out of these intimidation tactics is to scare off gamers and those who create emulators for them. There's no telling where the scales will tip for emulators for older Nintendo consoles like the Wii or the Wii U, but it wouldn't be surprising if more and more developers decide to not create emulator software because they don't want to fall foul of Nintendo's legal antics. So, yeah. Nintendo sucks and this is the world we live in. 👋 You’re reading HackerNoon's , a weekly collection of tech goodness that combines HackerNoon's proprietary data with internet trends to determine which companies are rising and falling in the public consciousness. Subscribe to receive the newsletter in your inbox every Tuesday. Tech Company News Brief here complete Biden Administration to Dole Out Billions in Federal Grants to Chipmakers🤑🤑 The who's who of the semiconductor manufacturing industry have put a gun to the US government's head and are trying to milk billions of taxpayer money to build their projects on American soil. OK, that's a bit of an exaggeration. The truth is that the Biden administration , REALLY wants companies like Taiwan Semiconductor Manufacturing Company, Intel and Micron Technology to build their products in the US, so much so that it's willing to throw billions of dollars at them. really How much, exactly? Well, the US government plans to dish out over $28 billion in federal grants to each of the companies plus Samsung Electronics to entice them to boost semiconductor manufacturing in the United States. Taiwan Semiconductor Manufacturing is expected to win more than $5 billion in federal grants to support the development of two fabrication facilities in Arizona. Topline numbers for the other companies continue to fluctuate but an announcement for the major advanced chipmakers is expected by the end of this month. Keep your eyes peeled for that development. 🤖 Elon Musk Takes Exception to OpenAI's Company Charter Wow, it's been quite a while since we reported on Elon Musk. But we're happy to let you know that the world's richest man is still up and about with his antics and this time, it involves his old nemesis Sam Altman's OpenAI. Yes, everyone's favorite billionaire has decided to hold OpenAI's company charter to court. He’s arguing in a lawsuit that the (former?) non-profit company, of which he apparently was a co-founder, abandoned its charge to benefit humanity by developing powerful artificial intelligence. Instead, the company rolled out generative AI products like ChatGPT that were essentially Microsoft products to make big bucks. Of course, Musk knows about benefiting humanity given that he owns Tesla; in fact, so concerned was he with humanity's benefit that he decided to burn his own money to buy X (formerly known as Twitter) for reasons that are not yet clear (but should be in a decade or two). all OpenAI is certainly not having Musk's BS, so it has hired a law firm that Elon Musk hates, to have his lawsuit thrown out. really Just another day of tech bros duking it out against each other. Sigh! In Other News.. 📰 Ethereum Finalizes 'Dencun' Upgrade, in Landmark Move to Reduce Data Fees — via CoinDesk Startups are hiring fewer workers and paying out less in equity comp — via TechCrunch EU approves landmark AI law, leapfrogging US to regulate critical but worrying new technology — via CNN US House passes bill to force ByteDance to divest TikTok or face ban — via Reuters The road map to AI's next level could be nature — via Axios Palantir CEO says short sellers bet against great companies ‘so they can pay for their coke’ — via CNBC – And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's page. Tech Company Rankings

I Hate Nintendo

আমি নিন্টেন্ডোকে ঘৃণা করি

Ich hasse Nintendo

odio nintendo

Je déteste Nintendo

मुझे निनटेंडो से नफरत है

私は任天堂が嫌いです

나는 닌텐도를 싫어한다

Eu odeio Nintendo

Я ненавижу Нинтендо

Nintendo'dan Nefret Ediyorum

Tôi ghét Nintendo

我讨厌任天堂

Photo Credit, recovered from stomach illness. In original publication of this interview, “ ,” this photo was rejected in favor of . In the spirit of additional context when republishing, we added the original image above, about two dozen contextual links, and embedded a fun video at the end. David Smooke David Smooke Founder & CEO at HackerNoon — Digital Publishing Evolution, AI Impact, Content Management Innovation, Community Growth, Future Visions a kinder, more professional headshot from AI Time Journal: 1. David, can you share the origin story of HackerNoon and what motivated you to create a platform focused on technology storytelling? Flor Laorga Hey, ! Thanks for having me. I’m . I started and run We publish technology stories and build publishing software. Before HackerNoon, I was managing 400+ contributing writers on the , which is now a tech unicorn. Back then, it was cumbersome to manage the writer accounts, content, and editorial review process through existing systems. Building for the contributing writers opened doors. When I started this company, I built many sites, most failed, and HackerNoon found the right mix of community, customers, and - just a cool place to spend time on the internet. Millions visit us every month for free to read our 100k+ stories across . By offering editing and distribution, many technology practitioners, writers, and companies find value in . AI Time Journal David Smooke HackerNoon. blog for SmartRecruiters thousands of tech topics publishing their stories with us 2. With HackerNoon’s commitment to keeping its library free of paywalls and popups, how do you navigate the challenge of generating revenue while maintaining an open-access philosophy? It’s a battle! Historically, we’ve 2x-ed revenue most years of the company’s existence, and our yearly revenue is in the low millions. Media is a brutal industry, and tech’s an up-and-down world where layoffs and profits seem to coincide with each gen ai launch or full moon. Our top source of revenue right now is . Companies like Brave, NVIDIA and AWS buy monthly ads on all stories within a category, like or . Our second and third sources of revenue are and . Business blogging is about getting more readers for blog posts owned by technology companies like , , , and . We leverage our publishing system and owned media channels to improve and further distribute their content. Quality technology blog posts require a lot of effort from talented people. The labor that goes into each post on a tech company’s main blog is worth thousands if not tens of thousands of dollars - companies work with HackerNoon to get those technology blog posts more readers. In terms of writing contests, companies award the authors of the best stores on a tag ( ), pay HackerNoon to run the contest, and ultimately, more technology content enters our library to serve the readers. The intention is to create discussion about a niche technology topic. ad placements by content relevancy programming data science business blogging writing contests MinIO Ockam Blockchain Oracle Summit BrightData like how Aptible awarded $18k to best #DevOps stories 3. As AI continues to evolve, how do you see it transforming the landscape of digital publishing, especially in terms of content creation and distribution? AI’s a massive wrench into productivity and authenticity. Every current job relying on a keyboard or a phone has/will have an AI assistant, and an AI will be on deck with you in whatever UX replaces the keyboard or the phone next. On the positive side, small capable teams can have greater extensions of themselves and their work. AI and AI agents can move portions of projects forward. For example, we introduced , and had to assign every story in our 100k+ library to one category. 100k human decisions would have taken a while, but a chatgpt spreadsheet plugin was able to assign each story a technology category very easily. On the negative side, there is spamflation everywhere. Why must the builders of our generation rush to make AI tools to spam instead of AI tools to assist? In 2022, one contributing writer, , made the case that . There is just so, so much content being generated by AI. It’s human-like, but it’s not human. Which brings me to authenticity. Who authored the content will become more important in the future as it indicates trust in a uniquely human way. technology categories Jeremy Hillpot 99.99% of all content would be AI-created by 2025 4. In your experience, what are the most effective strategies for managing and growing a small team of editors, developers, and startup individuals to produce high-quality technology content? We’re still small enough that everyone’s an individual contributor first, even the C-suite and board, which are both just me and . When you’re under 20 people, everyone has to carry their own weight. When it comes to managing a small remote team, reducing meetings is a good start. Editorial, sales, and product, each only have one internal meeting a week. This provides time to do the actual work and makes the meetings we do have will carry more importance. We do highly encourage one-off, project-focused, short meetings. Weekly product meetings are the longest and loaded with demos, recaps, and debates. But it connects the group, and designers have a full view into what developers are doing and vice versa. Staff happiness and sense of purpose, or lack thereof, will show in the little actions with our community. I work to create a company where a small team of elite contributors can thrive. Linh Dao Smooke 5. Could you discuss the development process of HackerNoon’s content management system and what makes it uniquely suited for technology professionals? At , we’ve built a lot of systems to create, edit, and distribute content at scale. Technologists spend a lot of their day on the keyboard (like I am now) and understand that documenting their journey and professional expertise will lead to more long-term success. Our CMS helps you create content with help from , , and . The CMS also integrates with our email and social media distribution engines, and for good measure. We live between social media where anyone can post and traditional media where staff content production drives content creation and consumption. There is a vibrant community of millions of technologists on HackerNoon. Plus, our CMS is built to seamlessly port content around the web. For example, with the HackerNoon CMS, we’ll be launching AI-specific publications in 2024, such as , , and more. HackerNoon templates AI a human editorial review backups up all content on the blockchain FewShot.Tech TextModels.Tech 6. How has HackerNoon leveraged AI to enhance its platform? and what lessons have you learned about AI's role in spam creation and prevention? HackerNoon uses AI and machine learning to improve grammar, , , and . Maybe Clippy was ahead of its time? Writers have and will continue to have smart AI assistants. AI can not and should not replace the writer, but it should and can assist the writer and editor throughout the publishing process. We are documenting our approach to editorial at . With the rise of LLMs, we’ve seen an influx of AI story spam submissions. Other blogging platforms are hosting so much of these types of machine generated stories right now. We are actively taking steps to not become a wasteland of AI’s musings. Because every story is reviewed before publication (with about half being rejected), I think our average story quality is higher than other blogging platforms. Every story submission automatically enters into plagiarism and AI writing detection. We highlight what sections are likely, possibly, and unlikely to be written by AI. It’s all about confidence levels. Ultimately, human editors make the final call in interpreting the machines’ reports. translate stories generate featured images suggest possible headlines EditingProtocol.com 7. Given your expertise in product management and editing, how do you balance innovation with user experience when introducing new features or updates to your platform? The core has to work for any new feature to matter. Our core is the blog post. We work to publish better blog posts and build for what comes before and what comes after the blog post. New functionalities cannot come at the expense of a delightful reading experience and a smooth publishing experience. It’s got to load quickly and the relevant ads have to surface at the right place for customers. There’s always more projects that could be done to improve the core. We also have been using more API driven journalism in order to gain more traffic. What I mean by that is aggregating relevant data and business information so that we can build pages that cover , , and . By connecting stories around the web to relevant companies, technologies and currencies, we can make HackerNoon a stronger destination for technology education and discovery. In terms of what to build next, we’ve built a simple product management system within Notion, where we detail product cards, weighing which user it would benefit, the expected input/output of the project, and then generally contributors choose their own projects. tech companies technologies currencies 8. As a leader, how do you foster a culture of creativity and innovation within your team, and what practices have you found most effective in motivating and inspiring your staff? The simplest way is to lead by example. I’m contributing to projects more than managing projects. The people who make this business happen are good people. If I want people to blog with HackerNoon, I need to blog with HackerNoon. almost 300 technology stories and this year, my goal is a post a week. Our staff is remote and around the world, we have people in Munich, Goa, Florida, Hanoi, Buenos Aires, Bangkok, Michigan, Lahore, Lagos, and of course where I live in Colorado. It’s a lot of different cultures. And a lot of different ideas. Everyone on the team started by applying via our , so one thing that unites us is reading and using HackerNoon before joining HackerNoon. Everyone also has stock in the company, that helps with buy-in and enthusiasm. We agree on metrics we want to move, but we might not agree on how to get there. It generally works best when contributors choose their own paths. I’ve published careers page 9. With your insights into the future of work and career advice, what guidance would you offer to professionals aiming to break into the rapidly changing tech industry? Make things! Apps, models, prototypes, blueprints, communities, whatever - just start making. Your first technology thing probably won’t be your best or your future, but if you make more things in tech they become less like just technology things and more like just essential everyday things.  In terms of breaking in, it’s a tough market in technology/media right now with mass layoffs & unpredictable demands. Having your own functioning project, app, site, academic paper, or even just a blog can set you apart from other candidates. I recommend looking to apply at companies that make technologies or products that you use and respect. Write short and simple cold emails that explain why you’d like to work together.  Take a step back and look at our daily lives - and what you think our daily lives might be in ten years - technology isn’t going anywhere. It’s becoming more ingrained. Closer to our eyes. I’d also add that getting into tech doesn’t necessarily mean staying in tech forever, but better understanding technology will help however your career grows. 10. How do you envision the role of digital publishers like HackerNoon in shaping public discourse and understanding of complex topics like cryptocurrency, AI, and blockchain technology? We normalize it. I learned about Bitcoin from a HackerNoon story submission. . The technology’s finally caught up; let’s talk about it. I learn a lot by reading what contributors think could be next. As many people on HackerNoon are publishing about what they’re building, we usually learn about newer technologies before they reach more mainstream learning destinations. is a great blogging example for how the people making the next internet are documenting and teaching others along the way. That author, , kept writing that . Meanwhile, we kept integrating our tech stack with more Web3 technologies. Fun Easter egg, you can read . Publishing platforms are still learning how to detail where and how and when AI contributed. We add an “ on all stories where AI assisted the writer. At Meta, I see they’re implementing a , I’ll be monitoring how that goes. Publishers should provide transparency to the reader when it comes to AI content creation. Hopefully, the internet can reach reasonable standards for accrediting AI. Milton Friedman’s been talking about the need for ecash since 1999 Learn Blockchain by Building One Daniel van Flymen blog post into a book the entire HackerNoon library via blockchain signatures here AI Assisted” emoji credibility indicator watermark checking and display system for all AI generated images 11. Finally, can you share a personal story or moment from your journey with HackerNoon that has been particularly meaningful or impactful to you? Well, it’s been a long road! Hard to pick just one. Recently, meeting Pham Minh Chinh, the Prime Minister of Vietnam, stands out. He invited . Was cool to see up close how a head of state walks, talks and listens to pitches about how the country could become a bigger player in the technology industry. Another one that comes to mind is when we launched with our own CMS, it was janky, it was pixelated, and it mostly worked but didn’t work in all the right spots. It was ours and it was beautiful. HackerNoon! I’ll leave with you this : Linh to be a technology consultant as the country forms its semiconductor strategy HackerNoon.com previously unpublished video of the moment we went live https://www.youtube.com/watch?v=rdoh8z0NXzU&embedable=true

“We are actively taking steps to not become a wasteland of AI’s musings” says HackerNoon Founder/CEO

হ্যাকারনুন প্রতিষ্ঠাতা/সিইও বলেছেন, "আমরা সক্রিয়ভাবে পদক্ষেপ নিচ্ছি যাতে AI এর মিউজিং এর বর্জ্যভূমিতে পরিণত না হয়"

„Wir unternehmen aktiv Schritte, um nicht zu einem Ödland der KI-Gedanken zu werden“, sagt HackerNoon-Gründer/CEO

"Estamos tomando medidas activamente para no convertirnos en un páramo de las reflexiones de la IA", dice el fundador y director ejecutivo de HackerNoon

"Nous prenons activement des mesures pour ne pas devenir un désert de réflexions sur l'IA", déclare le fondateur et PDG de HackerNoon.

हैकरनून के संस्थापक/सीईओ कहते हैं, "हम एआई के विचारों की बंजर भूमि न बनने के लिए सक्रिय रूप से कदम उठा रहे हैं।"

「私たちは、AI の思索の荒野にならないよう、積極的に対策を講じています」と HackerNoon 創設者兼 CEO は語る

해커눈 창업자/CEO “AI 사색의 황무지가 되지 않기 위해 적극 나서고 있다”

“Estamos tomando medidas ativamente para não nos tornarmos um terreno baldio de reflexões de IA”, diz o fundador/CEO da HackerNoon

«Мы активно предпринимаем шаги, чтобы не стать пустошью размышлений ИИ», — говорит основатель/генеральный директор HackerNoon.

HackerNoon Kurucusu/CEO'su şöyle diyor: "Yapay zekanın düşüncelerinden oluşan bir çorak araziye dönüşmemek için aktif olarak adımlar atıyoruz"

Người sáng lập/CEO của HackerNoon cho biết: “Chúng tôi đang tích cực thực hiện các bước để không trở thành vùng đất hoang của những suy ngẫm về AI”.

HackerNoon 创始人/首席执行官表示：“我们正在积极采取措施，以免成为人工智能思考的荒原”

The dark web is a shadowy online marketplace where victims are held captive by cyber extortionists, and stolen data is traded. It is hidden away in the shadows of the internet. This was the reality of LockBit's dark web domain, a platform the notorious ransomware gang used to extort businesses and organizations worldwide. According to the Department of Justice, LockBit earned itself in revenue from shady data deals and ransom payments. But luckily, after global cooperation, this virtual den of evil has been shut down, a major victory for international law enforcement. 2,000 victims and made over $120 million Unveiling LockBit's Dark Schemes Until recently, LockBit was a prominent player in the RaaS (Ransomware-as-a-Service) landscape. It is a ransomware gang that has plagued the cybersecurity landscape for years. Their ransomware variant, known for its “double extortion” tactic of encrypting data and threatening to leak it online, has caused billions of dollars in losses and disrupted operations for countless victims. Double extortion is a cruel and calculated strategy designed to squeeze maximum ransom payments from their victims. Let’s look at how this devil works! Initial Infection and Data Exfiltration The first phase of LockBit's attack involves infiltrating the victim's network through various methods, often exploiting vulnerabilities in outdated software or tricking employees into clicking malicious links. Once inside, they silently crawl through the system, identifying and exfiltrating sensitive data. This stolen treasure trove could include financial records, customer information, intellectual property, internal documents, and personally identifiable information (PII). Imagine their victim's horror as LockBit siphons away these critical files, leaving them vulnerable and exposed. Data Encryption With the stolen data securely tucked away, LockBit delivers the next blow: widespread data encryption. They deploy their malicious software, scrambling the victim's essential files, and rendering them inaccessible and unusable. This digital lockdown brings operations to a screeching halt, causing significant disruption and panic. Ransom Demand But LockBit doesn't stop there. They twist the knife further by brandishing the stolen data as a weapon. The ransom note is a cruel ultimatum that clearly outlines the situation: pay the ransom or face the public exposure of your sensitive information. This nightmarish scenario threatens to shatter the victim's reputation. Naturally, it’s highly embarrassing for any individual. But for a company, it could also result in financial losses from regulatory fines for not complying with safety guidelines, legal repercussions for data breaches and privacy violations, and irreparable damage to customer trust. The Threat of Exposure Faced with this double extortion dilemma, victims are caught in a pressure cooker. Even if they have backups to restore their encrypted data, the looming threat of public humiliation makes the decision agonizing. This cruel tactic has proven highly effective for LockBit, forcing many victims to succumb to their ransom demands. Here are some notable examples of LockBit's past attacks: June 2023: LockBit demanded a $70 million ransom from TSMC, a major Taiwanese semiconductor manufacturer. July 2023: The group crippled operations at the Port of Nagoya in Japan, which handles 10% of the country's trade, by launching a ransomware attack. October 2023: LockBit claimed to have stolen sensitive data from Boeing, although the company did not confirm the breach. The group targeted critical infrastructure, healthcare, education, and government agencies, demonstrating their widespread reach. Taking Down the Command and Control System Imagine a multi-headed hydra lurking in the murky depths of the internet, each head representing a different facet of nefarious operation. This mythical beast communicated with its victims, brandished stolen data like trophies, and demanded ransoms through its domain on the dark web. LockBit's The LockBit monster (not to be confused with the Loch Ness monster) has digitally terrorized individuals, multinational organizations, and even hospitals for over four years. But in a worthy of a Greek hero, a global alliance of law enforcement agencies joined forces to sever the hydra's heads. coup de grâce In a collaborative effort dubbed Operation Cronos, the , the UK's , and law enforcement agencies from Australia, Canada, New Zealand, and Europe joined forces to seize control of LockBit's dark web infrastructure. FBI National Crime Agency (NCA) This decisive action effectively dismantled the gang's online extortion platform, disrupting their ability to communicate with victims, showcase stolen data, and collect ransom payments. Europol arrested two alleged, unnamed operatives in Poland and Ukraine, while the US has indicted Russian men Ivan Gennadievich Kondratiev and Artur Sungatov for deploying LockBit against various American organizations. The operation dealt a significant blow to the cybercriminal group, demonstrating the collective power of international cooperation in combating cybercrime. But how did this takedown come about, and what does it mean for the fight against ransomware? Understanding Operation Cronos The takedown of LockBit's dark website involved a meticulous and multifaceted approach by law enforcement agencies. The director general of the NCA, Graeme Biggar, said after the operation's success, “We have hacked the hackers; taken control of their infrastructure, seized their source code, and obtained keys that will help victims decrypt their systems.” Here’s a closer look at what that entailed: International law enforcement agencies collaborated to infiltrate LockBit's network and gather intelligence on their operations by monitoring their activities and identifying vulnerabilities in their infrastructure. Hacking the Hackers: Authorities strategically disrupted communication channels between LockBit and their affiliates, hindering their ability to coordinate attacks and manage extortion operations. Taking Control of Infrastructure: In a coordinated effort, law enforcement agencies from various countries seized control of LockBit's dark web domain. This involved taking down the website and preventing further access by the gang or their victims. Seizing Source Code: The seized infrastructure provided valuable evidence for ongoing investigations, potentially leading to the identification and apprehension of individual members of the LockBit gang. Securing Evidence: Through the evidence on the website, law enforcement is working to identify victims who may have interacted with the website and assist them in recovering their data. Obtaining Decryption Keys: Continuing the Fight While the takedown of LockBit's dark website represents a significant victory, the fight against cybercrime is ongoing. New threats are constantly emerging, and ransomware remains a major concern for businesses and organizations. We have gained a few key takeaways from this event: Operation Cronos highlights the importance of collaboration between law enforcement agencies across the globe in dismantling cybercriminal operations and protecting victims. International cooperation is essential: Organizations must prioritize robust cybersecurity measures, including regular software updates and comprehensive backup and recovery plans, to minimize their vulnerability to ransomware attacks. Cybersecurity vigilance remains critical: While this takedown is a positive development, it's essential to stay informed about evolving threats, adapt cybersecurity strategies accordingly, and foster continuous collaboration to create a more secure digital environment. The fight against cybercrime is a marathon, not a sprint: Looking Ahead to A Brighter Future for Cybersecurity The takedown of LockBit's dark web lair is like evicting a particularly nasty troll from the internet's underbelly. It's a positive step, but let's not break out the celebratory cupcakes just yet. This is just one skirmish in the ongoing war against cybercrime, and plenty of digital dragons are still lurking out there. However, there's no need to don your tinfoil hats and retreat to a Faraday cage. By staying informed, adopting robust cybersecurity practices, and working together like a well-oiled international task force of digital knights, we can make the internet safer for everyone. Breaking Down the Potential Long-Term Impacts While the immediate impact of Operation Cronos is the disruption of LockBit's operations, the long-term consequences could be far-reaching. By dismantling LockBit's infrastructure and potentially identifying key members, law enforcement could disrupt the RaaS ecosystem, making it more difficult for other ransomware groups to operate. The successful takedown could serve as a deterrent to other cybercriminal groups, discouraging them from using similar tactics. Best of all, with access to seized data, law enforcement can potentially assist victims in recovering stolen information and mitigating the impact of the attacks. Exploring Challenges and Considerations It's important to acknowledge that the fight against cybercrime is complex and constantly evolving. While Operation Cronos is a significant victory, several challenges remain: Cybercriminals constantly adapt their tactics to evade detection and bypass security measures. Law enforcement and cybersecurity professionals must stay ahead of the curve by continuously learning and adapting their strategies. Evolving tactics: Attributing cyberattacks to specific individuals or groups can be challenging, and international cooperation is crucial for successful prosecution. For instance, it’s going to be difficult for the US to prosecute Russians like Kondratiev, especially because there is no US-Russia extradition agreement. Attribution and Prosecution: The dark web provides a haven for cybercriminals to operate with some degree of anonymity. Law enforcement agencies need to develop innovative methods to effectively investigate and disrupt activities on these hidden corners of the internet. The Dark Web: Final Thoughts The takedown of LockBit's dark website is a significant development in the fight against cybercrime. It demonstrates how international cooperation among law enforcement agencies can protect citizens and businesses from malicious actors. However, this is just one battle, and the fight against cybercrime is a full-scale war. But with continued vigilance, collaboration, and a healthy dose of digital hygiene, we can create a future where browsing the internet feels less like walking through a minefield and more like strolling through a virtual garden.

LockBit's Lair Gets Locked Down: FBI and Allies Take Down Ransomware Gang's Website

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