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Smart Contracts and Real Estate: The Past, Present, and the Future

Imagine the time when people used to go through a lot of clumsy paperwork and tedious formalities just in order to raise an insurance claim. The process of buying insurance policies, disbursing claims, policy renewal, etc., had been extremely complicated until we entered the age of the internet. Although the internet made a lot of things easier for the insurance companies, there were still many pain points left to be addressed. This is where the role of AI has been commendable, as it has revolutionised the insurance sector completely. No one would have ever imagined buying an insurance policy just with a few clicks. None of us had ever thought that we can raise an insurance claim just by uploading pictures online. However, not all of these changes in the insurance sector happened by intention. Events like COVID pandemic and some big natural calamities forced the insurance industry to adopt the new age AI technologies. If we look at the data, the Covid-19 pandemic has caused more than to the insurance companies. This figure only comes second to the financial loss the industry suffered due to hurricane Katrina. Such catastrophic events do force various business sectors to evolve, and the insurance industry is one to witness these changes. Before starting on what use cases AI is offering in the transformation of the insurance sector, let us get a glimpse at some key figures. $55 billion in losses Here are some numbers to support our point: According to the research done by McKinsey, of the significant work which is performed by insurance companies is expected to take root in automation in the upcoming decade. In addition to this, 70% of the insurance-related tasks such as claims, underwriting, finance and operations will see a significant change in scope. As a result, people working in insurance companies will require upskilling and reskilling to stay relevant in this industry. around 55% Accolade Inc's Maya Intelligence platform is taking the help of machine learning and AI to assist patients in selecting the most appropriate, cost-effective insurance coverage plan depending on their medical history and other sets of data. Right now, Accolade is providing this service to more than clients. 1.1 million 70% of potential insurance customers will trust an insurance company if it is readily available via messaging to provide sensible advice, solve their queries and help them in buying insurance. Bupa is one of the best groups, which is serving more than 33 million people worldwide in order to connect with their clients over Apple Business Chat, Whatsapp, and SMS in addition to providing call centre-based services. international health insurance using LivePerson's Conversational Cloud What Does All This Usage of AI Actually Mean? The above real-world stats of the finance industry clearly depict that making investments in AI and the related technologies such as machine learning, deep learning, and predictive analytics is now one of the significant talk points in decision-making meetings of finance companies. The good thing about using AI is that its implementation actually pays off well. For instance, McKinsey came up with a massive number of 1.1 trillion dollars of upcoming investment in AI by the finance industry. So how does this enormous investment opportunity work for an insurance company? Let's find out. Use Case 1: Streamlining The Claim Process In the age of the internet, customers are always looking for on-demand, real-time processing of their queries and claims. Insurance companies can use AI to implement a new method of submitting claims, such as submitting them via smartphones, web portals, and insurance company mobile applications. The AI can assist the customer with the submission of claims and will answer the questions which might arise during the claim submission process. Apart from this, at the end of filing the claim, AI can check if a customer has written the verified policy details and pass it through the fraud detection algorithm before sending the claim to the insurance company to start the settlement process. Cost efficiency evolution per industry, percentage is normalised to 100% in 2009 to take it as a reference point. (As from the data-driven out by in the above graph, we can see that over the years, the insurance industry is the one which is falling behind when it comes to addressing the issues and the costing of its operations.) McKinsey & Company Besides this, AI-powered chatbots can help in keeping customers in the loop about the latest updates on their claim process. Meaning they don't have to manually connect with a customer care representative to find out how many steps have been completed in their claim process. AI can be used to detect and capture documentation. It will also ensure that the documents are not fake with the use of character recognition. The AI has come to that level where it can read handwritten text as effectively as humans. There are so many telematics and onboard sensors in cars, home assistant devices, and fitness trackers in watches, along with various types of IoT devices that allow insurance companies to constantly collect the needful data from customers to provide them with better services. What's That One Thing Which is Good About AI in This Case? Well, with enough data provided by the insurance company. AI, with the help of Machine Learning (ML) and Deep Learning (DL) algorithms, can improve itself on its own. Meaning there is no extra programming which needs to be done in order to have better and quicker results out of the AI. Apart from this, insurance teams will be able to gain access to even more accurate data for insurance claims and complex insights about the customer which were not accessible in the past. Fukoku Mutual Fund Insurance Company In recent years Fukoku, one of the prominent mutual fund insurance companies, replaced its 34-strong claim assessment workforce with the implementation of an advanced form of IBM's Watson Explorer AI. The company was aiming to increase the productivity of their work by 30% and save 140 million yen each year. Lemonade Transforming Its Insurance Process Via AI Chatbots Lemonade is a company based in New York which is working towards making changes to the insurance industry from necessary evil to social good with the assistance of AI chatbots. The very first chatbot company is named Maya, and it is a virtual assistant that is capable of building perfect insurance plans for Lemonade customers. The second AI chatbot which the company developed was called Jim, and it was explicitly designed to handle the claims. The best part about the Jim AI chatbot is that it was actually able to take one-third of the cases on its own. Its massive progress in helping customers to get their claims sorted via AI and machine learning resulted in the company gaining a value of during the IPO in 2020. $3.9 billion Use Case 2: Adjustment of Claim in Shortest Time Possible Everyone wants the claim process to be as simple as possible. This saves time for both customers and the company. With the implementation of AI, insurance companies are aiming to bring up that blazing fast speed of claim adjustments. With AI, some of the intense, labour-heavy and inspection-driven tasks can be quickly taken care of. But why do we need AI for inspection purposes, you may ask? Well, the stats are straightforward, property insurance rate adjusters are 4x times more prone to sustain an injury than construction work, this is a pretty crazy stat, but it's all true. As a result, we saw the implementation of equipped with AI to assess the damage to properties after Hurricane Harvey in 2017 Texas. flying drones With these drones, insurance companies are able to create comprehensive datasets, which include Geospatial data, HD video or imagery, and lots of data collected from IoT devices as well. Now let's see which companies around the world are using AI and ML to automate the automotive insurance sector. Liberty Mutual Insurance Using AI for Assessing Vehicle Damage is a well-known company and probably one of the first ones to ever provide insurance policies to customers. The company is taking assistance from in to develop an AI that estimates auto damage. This is done by conducting comparative analyses of anonymous claim photos. Liberty Mutual Solaria Labs The AI is able to access the damage on the vehicle and provide the repair estimates post-accident on its own. As a result, no one has to actually meet the customer in person to come up with the cost of the insurance claim. Apart from this, in order to create a five-year collaboration to support AI research in computer vision, understanding of the computer language, data privacy and security as well. Liberty Mutual tied up with MIT Use Case 3: AI Helping in Detecting Insurance Claim Settlement Frauds Insurance claim frauds cost a minimum loss of annually in the United States alone. Faking an accident, injury, or any form of damage which can be used to claim against an insurance policy will come under a claim settlement fraud. With the use of AI in insurance claims, a company can make the following benefits and steer clear of these sorts of claim frauds. 80 billion dollars AI could use the historical data available to find the probability of an incident occurring. Not only that, it will also calculate the cost of claims by accessing typical claims which were raised by the policyholder in previous years. With the implementation of AI, insurance companies can detect fraudulent activities and patterns. These will trigger automatically when the insurer is filling claims repeatedly. With the clubbing of all these scenarios, AI could create a list of high-risk profiles so the insurance agency can take a deeper look at their case when they come for future claims. Use Case 4: Use of OCR for Fast Document Digitization (OCR) is the AI technique which is being used by insurance companies to scan customers' documents when they avail for an insurance policy and claim from the insurance company as well. There are certain benefits which insurance companies are able to enjoy with the use of AI-based OCR. The first advantage is increased security. This is because physical documents are hard to track but scanned documents can be easily tracked down. Also, accessibility of digitised documents can also be restricted to certain employees in the company who are taking care of that specific case. Optical Character Recognition Apart from this, employees of the insurance company don't have to manually write or type the information of customers on their portal as it will be taken from the scanned documents automatically. Furthermore, the OCR also helps in easy data search as you can simply type in the search keyword, and the document will appear on your screen. The cost of producing a single physical document is more than creating 1000s of digitised documents. Physical documents require paper, a printer, ink, and a place to store them as well while with digitised documentation, everything is done by a single system and documents are saved online. All of this leads to __ __of the individual processes, which are pretty standard and can be quickly done by an automated machine. saving 80% OCR is a great way to streamline the KYC process for customers and provide them services in the shortest time possible. The use of AI reduces the cost of customer onboarding while, at the same time, also increasing the speed of claim processing and customer satisfaction. car insurance According to the reports shown by the EY insurance industry Outlook of 2021, we can see the following results. __ __prefer purchasing the insurance plan online rather than purchasing it from the insurance company's office. 58% of life insurance customers Apart from this, of customers in Sweden and in Spain prefer to search for an insurance policy online before making a decision about whether to purchase it or not. 68% 52% These numbers are pretty essential as it shows how certain developed countries are moving toward digitalising their insurance process and implementing AI to streamline the day-to-day tasks at an insurance firm. AXA Extractions of Data from Hand-Written Forms is one of the great leaders in the industry of finance and insurance as they offer complex services in the field of health and property insurance to their customers. AXA (Source:- Snapshot of web interface prototype designed by For AXA. ) Rare Technologies The AI company wanted to increase the efficiency of taking in handwritten forms so as to extract information from them. At the same time, AXA also wants to reduce human labour in order to save money and reduce the chances of human error. They collaborated with to build a deep learning solution which gave the final POC output in the form of analysis, classification of incoming documents, extraction of hand-printed field values, a web interface as a prototype to test out the working, and implementation of REST API which calls the service in a pragmatic fashion. RARE technologies Use Case 5: Faster & Better Underwriting Process The increase in complexity of insurance policies and fraudsters levelling up their strategies, making them elaborate, results in insurance companies being more careful in their underwriting process, rules-based evaluations and other tasks which deal with particular sets of risks. With the advancement in the field of computer science, we see connected devices everywhere, from our mobile phones to our cars, everything is connected, and with all these connected devices, a mature insurer can easily find better ways to make appraisals. The AI-enabled underwriting process, which is paired with IoT devices, will help insurance companies carefully track down the required data in real time. For example, with the use of a GIS data stream, an insurance company can completely eliminate the need for in-person property inspections, as well as monitor the state of the property over the course of time to come up with an accurate policy pricing. On the other hand, this technology is also beneficial for raising appraisals for massive industrial infrastructure to estimate the recovery cost of any sort of damage and operational mishaps. A single seismic dataset is hundreds of gigabytes, which results in multiple terabytes of information processing and interpretations for a single day. This vastly improves our picture of the earth's surface and makes it possible for scientists to completely abandon the need to drill a multi-million dollar hole in the earth to get the same results. data AI processing of 3D seismic (Source:- showcasing how different tasks in oil and gas mining acquire data on a daily basis.) Nvidia Besides this, insurance companies can take needful information from the above data and churn it into predictive analytics of their own to find out the levels of degradation, perform automatic defect inspections, and find the potential failure rates and other risks which come from operating with such machinery. Baker Hughes Partnered with NVIDIA for Changing Future of Oil & Gas Massive oil companies like Baker Hughes have to deal with oceans of data before they can take out a single drop of oil. As a result, in 2018, the oil and gas company came up with the plan to partner with Nvidia to use to distil the incoming data in real time. This leads to a reduction in the cost of finding, extracting, processing and delivering oil. AI and GPU accelerated computing With the use of AI, the company was able to unlock the data by predicting the machinery failure, optimising the supply chains, implementing neural networks and more. The following use of AI results in: increase in accuracy of finding anomalies before drilling. 50% - 75% increase in an interactive exploration of massive datasets. 10x Reduction of across the full stream. OPEX by 15% Future of AI in The Insurance Industry Truth be told, the insurance industry is under a lot of pressure as we are now living in a post-pandemic world. The thing is, AI is not the solution for every single problem which arises in this industry. It can indeed reduce the cost and time spent on most of the tasks commonly performed by an insurance company. Still, it isn't a single solution to all the problems on which the whole insurance industry needs to focus at present. The above use cases that we have mentioned depict how AI can be used in the insurance industry. But these are some of the few ways in which AI is currently helping insurance companies sort their things out. These use cases are making sure that insurance companies are moving towards a digital-first customer experience and providing a technically advanced line of products to their customers.

5 Use Cases of AI to Show How It Is Transforming the Industry

April 22nd 2024 - Profilence, renowned for its award-winning long-term stability analysis solution based on user behavior modeling and root cause analysis, have partnered with RemotiveLabs, a modern software startup within vehicle software development. This innovative approach combines the strengths of both companies to efficiently recreate real-world user interactions and integrate the vehicle signals in infotainment QA processes. The result is a comprehensive quality analysis solution to enable continuous stability and performance analysis. Until now, the industry has grappled with accurately recreating the complex interplay between user behavior and vehicle signals. This collaboration eliminates that gap, enabling detailed analysis and faster, more efficient development cycles. The partnership offers OEMs and Tier 1s a '1+1=3' scenario where the combined capabilities of RemotiveLabs and Profilence enables a holistic view of infotainment system performance and quality in a laboratory environment when only hardware test rigs exist, well before vehicles are available for fleet trials. First demoed at the COVESA All Members Meeting in Gothenburg in April 2024, with P3 as an early adopter with their Android Automotive OS based SPARQ OS platform. Marius Mailat, CTO & Managing Director of P3 digital services: “With this integration, we’re showing how OEMs can be sure their IVI is built on superior-quality technology, and bring their products to market faster, with confidence.” This new type of quality analytics addresses the challenge of finding those tricky types of issues that normally only occur in long-term use. RemotiveLabs and Profilence empower manufacturers to ensure expected quality, user experience, and long-term stability. Tero Aaltonen, Chief Business Development Officer of Profilence: "We're pushing the boundaries of what's possible in infotainment testing. Bringing in RemotiveLabs capabilities into our solution will become the new benchmark for quality analysis in automotive infotainment." RemotiveLabs CTO, Aleksandar Filipov adds: "Our partnership with Profilence is a game-changer for testing with data from real vehicles. We make it easy to record, share and use real drive-cycles which are fed into Profilence’s QA Suite, enabling fully automated end-to-end testing at scale”. This tech partnership takes Profilence capabilities to the next level as it automates testing and enables quality analytics of the actual in-vehicle experiences - combined with the vehicle behavior. About Profilence: Profilence is the leader in advanced software quality assurance solutions for automotive, medical, and smart devices. Based in Finland and working with customers worldwide, their patented QA Suite and expertise have accelerated the development of dozens of products and prevented critical software issues from reaching end users. Contact: Tero Aaltonen, tero.aaltonen@profilence.com, +358 44 255 3454 About RemotiveLabs: RemotiveLabs empowers automotive engineers by providing modern and flexible tooling for software development. The Malmö-based startup was founded in Sweden in 2020 and has been recognized as a change maker in software-defined vehicles with their open and developer-centric platform. Contact: Carin Lagerstedt, carin.lagerstedt@remotivelabs.com, +46706254464 April 22nd 2024 - Profilence, renowned for its award-winning long-term stability analysis solution based on user behavior modeling and root cause analysis, have partnered with RemotiveLabs, a modern software startup within vehicle software development. This innovative approach combines the strengths of both companies to efficiently recreate real-world user interactions and integrate the vehicle signals in infotainment QA processes. The result is a comprehensive quality analysis solution to enable continuous stability and performance analysis. April 22nd 2024 - Profilence, renowned for its award-winning long-term stability analysis solution based on user behavior modeling and root cause analysis, have partnered with RemotiveLabs, a modern software startup within vehicle software development. This innovative approach combines the strengths of both companies to efficiently recreate real-world user interactions and integrate the vehicle signals in infotainment QA processes. The result is a comprehensive quality analysis solution to enable continuous stability and performance analysis. Until now, the industry has grappled with accurately recreating the complex interplay between user behavior and vehicle signals. This collaboration eliminates that gap, enabling detailed analysis and faster, more efficient development cycles. The partnership offers OEMs and Tier 1s a '1+1=3' scenario where the combined capabilities of RemotiveLabs and Profilence enables a holistic view of infotainment system performance and quality in a laboratory environment when only hardware test rigs exist, well before vehicles are available for fleet trials. First demoed at the COVESA All Members Meeting in Gothenburg in April 2024, with P3 as an early adopter with their Android Automotive OS based SPARQ OS platform. Marius Mailat, CTO & Managing Director of P3 digital services: “With this integration, we’re showing how OEMs can be sure their IVI is built on superior-quality technology, and bring their products to market faster, with confidence.” “With this integration, we’re showing how OEMs can be sure their IVI is built on superior-quality technology, and bring their products to market faster, with confidence.” This new type of quality analytics addresses the challenge of finding those tricky types of issues that normally only occur in long-term use. RemotiveLabs and Profilence empower manufacturers to ensure expected quality, user experience, and long-term stability. Tero Aaltonen, Chief Business Development Officer of Profilence: "We're pushing the boundaries of what's possible in infotainment testing. Bringing in RemotiveLabs capabilities into our solution will become the new benchmark for quality analysis in automotive infotainment." "We're pushing the boundaries of what's possible in infotainment testing. Bringing in RemotiveLabs capabilities into our solution will become the new benchmark for quality analysis in automotive infotainment." RemotiveLabs CTO, Aleksandar Filipov adds: "Our partnership with Profilence is a game-changer for testing with data from real vehicles. We make it easy to record, share and use real drive-cycles which are fed into Profilence’s QA Suite, enabling fully automated end-to-end testing at scale”. "Our partnership with Profilence is a game-changer for testing with data from real vehicles. We make it easy to record, share and use real drive-cycles which are fed into Profilence’s QA Suite, enabling fully automated end-to-end testing at scale”. This tech partnership takes Profilence capabilities to the next level as it automates testing and enables quality analytics of the actual in-vehicle experiences - combined with the vehicle behavior. About Profilence: Profilence is the leader in advanced software quality assurance solutions for automotive, medical, and smart devices. Based in Finland and working with customers worldwide, their patented QA Suite and expertise have accelerated the development of dozens of products and prevented critical software issues from reaching end users. Profilence Contact: Tero Aaltonen, tero.aaltonen@profilence.com , +358 44 255 3454 tero.aaltonen@profilence.com About RemotiveLabs: RemotiveLabs empowers automotive engineers by providing modern and flexible tooling for software development. The Malmö-based startup was founded in Sweden in 2020 and has been recognized as a change maker in software-defined vehicles with their open and developer-centric platform. RemotiveLabs Contact: Carin Lagerstedt, carin.lagerstedt@remotivelabs.com , +46706254464 carin.lagerstedt@remotivelabs.com

Profilence & RemotiveLabs Set a New Benchmark in Infotainment Quality Testing

প্রোফাইলেন্স এবং রিমোটিভল্যাব ইনফোটেইনমেন্ট কোয়ালিটি টেস্টিং-এ একটি নতুন বেঞ্চমার্ক সেট করে

Profilence und RemotiveLabs setzen neue Maßstäbe bei der Qualitätsprüfung von Infotainmentsystemen

Profilence y RemotiveLabs establecen un nuevo punto de referencia en pruebas de calidad de infoentretenimiento

Profilence et RemotiveLabs établissent une nouvelle référence en matière de tests de qualité d'infodivertissement

प्रोफाइलेंस और रिमोटेबलैब्स ने इन्फोटेनमेंट गुणवत्ता परीक्षण में नया मानक स्थापित किया

Profilence と RemotiveLabs がインフォテインメント品質テストの新たなベンチマークを設定

Profilence & RemotiveLabs, 인포테인먼트 품질 테스트의 새로운 벤치마크 설정

Profilence & RemotiveLabs definem uma nova referência em testes de qualidade de infoentretenimento

Profilence и RemotiveLabs устанавливают новый стандарт в тестировании качества информационно-развлекательной системы

Profilence ve RemotiveLabs Bilgi-Eğlence Kalitesi Testinde Yeni Bir Kriter Belirledi

Profilence & RemotiveLabs thiết lập một tiêu chuẩn mới trong việc kiểm tra chất lượng thông tin giải trí

Profilence 和 RemotiveLabs 为信息娱乐质量测试树立新标杆

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Let's learn about via these 60 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Tech News /Learn Repo The who, what, why, when, where and how of the technology industry publish on HackerNoon. 1. OpenBB Terminal 2.0 is More Than an Alternative for Bloomberg Terminal OpenBB Terminal 2.0 is more than an application, it’s a platform. 2. Israel is Swiftly Becoming the World’s Leading AI Hub as Investments Continue to Surge in 2022 Israeli startups embrace AI across multiple industries with great success – meanwhile investment in these companies exceeded $25 billion in 2021 alone. 3. Pecan.ai Raises 11 Million to Bring Machine Learning to Business Analysts Pecan.ai has just come out of stealth, raising an $11M Series A, to enable business analysts to build machine learning models automatically. Dell Capital led the round, joined by S capital and bringing the total funding of the company to $15M. 4. Latest in Tech: Instagram Fined Millions Over Children's Data Privacy There's always something new in the world of technology, and it can be hard to keep up. 5. Thomas Biodun, Manager at TDPel Media, advises to "start immediately without delay" TDPel Media offers original news content and covers general news, politics, business, entertainment, environment, technology, lifestyle, culture, comedy, etc. 6. The Noonification: How to Find X When Your Product + X = Success (12/19/2022) 12/19/2022: Top 5 stories on the Hackernoon homepage! 7. Twitter Will Share Ad Revenue with Creators Twitter will now be sharing ad revenue with content creators for advertisements that appear in their reply threads. 8. Mastadon: Everything You Need to Know Mastodon is the largest decentralized social network on the internet. 9. Out With Javascript, In With Typescript - The New Favorite Language According to the latest report, Typescript has surpassed Javascript to become world's favourite language for developers. 10. While You Were Weekending 11. Jack Dorsey Formalizes Legal Defense to Protect Bitcoin Developers Ex CEO of Twitter Jack Dorsey, Alex Morcos, and Martin White published an email to Bitcoin developers about establishing a Bitcoin Legal Defense Fund. 12. The Future of Battery Technology: What’s Next? Lithium-ion batteries are the standard for electronics, electric vehicles and are also growing in popularity for military and aerospace applications. A prototype Li-ion battery was developed by Akira Yoshino in 1985, then a commercial Li-ion battery was developed by a Sony and Asahi Kasei team in 1991. 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Facebook Just Put the Metaverse on the Map Read this post for insight into how the metaverse can improve how we work, potentially through developments from companies such as Facebook and Microsoft 34. Fintech in Japan: How App Payments Are Changing Cash Culture Many visitors to Japan are always surprised by one thing. Despite its East Asian neighbours moving rapidly towards a cashless future, Japan is a cash society. Tokyo’s neon lights and sleek and high-tech public transport system often give the impression that Japan is a place where the future happens. Hop off the train at the newly opened Takanawa Gateway Station and you’ll find a station that has its cleaning and security handled by robots. 35. Nice Tech Newsletters Subscribe to something today you'll thank yourself for tomorrow. 36. What Will the World Look Like in 100 Years? In this opinion, we will look at some possible changes that could occur in the next 100 years and discuss what they could mean for humanity. 37. 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Some people think that it’s not a big deal, it’ll go away in the next month or so, but these people don’t understand how deadly it can be for the tech industry and the global economy as well. Since the global economy is not my field, I’ll focus on the tech industry. 42. CloudEye Turns Out To Be A Front For Hackers spreading GuLoader Conservative estimates put company’s monthly income at a minimum $500,000. 43. Facebook's Libra — small soundbites from Big Media 44. How to Support Women as Essential Stakeholders in Emerging Technology According to an ad I found in my LinkedIn inbox five minutes ago— "Women in AI do-tank is proud to support this initiative as we are committed to supporting women as essential stakeholders in the development of emerging technologies, from data scientists to business leaders. 45. US Senate Committee on Banking, Housing, Urban Affairs Discusses the Digital Dollar The US Senate Committee on banking, housing, and urban affairs conducted a virtual hearing tagged  Digitization of Money and Payments. The hearing took place on Tuesday, 30 June, 2020. In attendance were the ranking Senators of the committee and several experts from the cryptospace. 46. Natasha Reads The News So You Don't Have To In today's most talked about and not-talked about global news: Minneapolis; Brazil; Trump vs. Twitter; Xpeng vs. China; and two well-intentioned men with machetes and a broom end up in the wrong home Down Under. 47. Why do I feel sorry for that robot? And other feels from tech reads around the web last week. 48. Understanding The Facebook Data Leak: 533,000,000 Facebook Records Were Leaked A user of a low-level hacking forum posted the records of hundreds of millions of Facebook users for free online on 3rd April. 49. Robots Performing Surgeries On Pigs? The Impact Of Robotics In Medicine For the first time in medical history, it was recorded that some robots successfully carried out a laparoscopic surgery unaided by humans. 50. Let's Watch Dogs Sniff Out COVID in Finland and Imagine Our Future Researchers are trying to test whether dogs can detect saliva samples from COVID-19-infected patients in a recent study. The results are positive. 51. TODAY: Spotify 💚 Social · Y FB 💸 $400M on Giphy · Uber & Ryanair Cut Jobs I read the news so you don't have to: Spotify has launched a co-listening product stream so that you can listen to the same song with anyone, anywhere, in-sync; big surprise: Facebook bought Giphy for the data; both Europe's budget airline Ryanair and Uber are laying off a bunch of people; and France and Germany are pushing for a $545bn coronavirus relief fund. 52. Building Dev Tools and Designing C#: An interview with Facebook's Eric Lippert About: Eric Lippert 53. Stay Up-to-Date With Tech News : DevBytes Being a busy coder over the years of software development, sometimes I feel difficult in staying up to date with the latest tech news which inturn would help me in the growth of my software development career. In today's fast-paced world, technology is constantly evolving, and it can be challenging to keep up with the latest trends and advancements. Fortunately, there are many resources available that can help you stay up-to-date on the latest tech news and information. One of the best resources available is an app called DevBytes. 54. Japan's Biggest Airline Announces Plans to Build Flying Taxis In this slogging thread, the random channel discussed a piece of news where the main topic is flying taxis and how this could be managed. 55. 11 Best Website Builders for Small Business in 2022 Modern website builders can help you create fluid websites that can take your business online while looking crisp and beautiful. 56. The News According to Hacker Noon — Tuesday, 30 June 2020 Today on Hacker Noon—We Have Questions: Will this pandemic finally usher in the era of post-humanism that techno-utopians have been predicting for decades? What do we need to know about this recession? WTF Is A Transaction Relayer And How Does It Work? 57. 5 Most Profitable Industries in Tech in 2022 (Slogging Insights) In this slogging thread, our community shared their guesses on the most profitable industries at the moment. 58. Top 5 Tech Resources To Read Quality Technical Content This article shows the top 5 resources you can use to stay up-to-date by reading quality technical content. 59. The First Half of 2020 — According to 35 Featured Hacker Noon Stories Hey there, Hackers. I'm writing to you from Amsterdam, the Netherlands, where—as of today—we've had 50,273 confirmed cases of Covid-19, and 6,113 deaths. The curve here appears to have been successfully flattened: 60. 2nd Annual Hacker Noon Awards Launch Today: Public Call for Nominations On this hallowed day, one year ago, Hacker Noon 2.0 became a thing on the interwebs. Around the same time, we launched Hacker Noon's annual tech awards, The Noonies—the industry's greenest awards. ¯_(ツ)_/¯ This year, the #Noonies promises to be bigger, better, more diverse, and looooonger than last year. The best part? Anybody can nominate ANYBODY right now for a 2020 #Noonie at noonies.tech! Thank you for checking out the 60 most read stories about Tech News on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

60 Stories To Learn About Tech News

STOCKHOLM, Sweden, June 7th, 2023/Chainwire/-- Stockholm-headquartered blockchain technology company today reveals its acquisition of the iconic Swedish-American fashion brand . The acquisition aligned with the recent relaunch of BLK DNM as a modern, community-driven fashion house. It marks ChromaWay’s first acquisition of an established company for the purpose of implementing real-world decentralization: i.e., creating positive behavioral change, fairer access, and more control by users within traditional industries. ChromaWay BLK DNM ChromaWay’s blockchain capabilities will be integrated into BLK DNM’s strategy and products, the first meaningful use of the tech in fashion. In pioneering ‘connected fashion,’ BLK DNM will seek to inspire more responsible behaviors in the industry. First tech innovations will be announced ahead of BLK DNM’s F/W 2023 collections reveal First innovations to be revealed in BLK DNM’s F/W 2023: ChromaWay’s blockchain capabilities will be integrated in a revolutionary way into both BLK DNM’s brand and products. BLK DNM will consequently become a pioneer of ‘connected fashion’ - the use of technology to create community and responsibility within fashion - heralding the first significant use of blockchain tech in an industry yet to be meaningfully impacted by Web3 technologies. BLK DNM will reveal the first tranche of technological innovations built on ChromaWay’s ‘Chromia’ relational blockchain in the coming weeks. This will include software- and hardware-based innovations built into BLK DNM’s F/W 2023 collections, underpinned by the ethical and communal concept of ‘connected fashion.’ Toni Collin, CEO of BLK DNM, and Henrik Hjelte, CEO and Co-founder of ChromaWay Henrik Hjelte, CEO and Co-founder of ChromaWay, comments: “BLK DNM is a brand with an ethical mission and decentralization in its soul - it’s something of a borderless community already. It was a natural fit for our aspirations to transform the fashion industry through innovation. BLK DNM’s imminent tech rollout will illustrate the power of our blockchain capabilities to create true behavioral change in an industry that has hitherto struggled to control its problematic environmental impact and embrace progress.” Toni Collin, CEO of BLK DNM, comments: “Our industry must start looking toward innovation: fast fashion’s environmental impact is totally unacceptable, and at the same time, as the world becomes more digitized, the concept of community is changing. That’s why BLK DNM joining ChromaWay is so exciting. The potential of this technology to create genuine change in fashion is evident, but no one else in the industry is using it in a meaningful way yet. Together, BLK DNM and ChromaWay are building something truly unique and groundbreaking. We will be able to reveal the first innovations very soon.” About ChromaWay ChromaWay is an industry leader in blockchain technology and specializes in creating and deploying cutting-edge, scalable blockchain solutions for businesses and governments. The company, established in 2014 and headquartered in Stockholm, Sweden, has been at the forefront of driving the widespread adoption of blockchain technology. Its flagship product, relational blockchain Chromia, enables developers to build decentralized applications (dApps) with a relational database model that offers unprecedented scalability and flexibility. About BLK DNM BLK DNM is a Swedish-American fashion brand that specialises in timeless tailoring, leather, and denim of extraordinary quality. Following its 2023 relaunch as an entry-luxury fashion house under the stewardship of new Creative Director Jessy Heuvelink, BLK DNM’s focus on enduring craftsmanship and aesthetic timelessness encourages customers to love and treasure each item for decades and across generations. Contact Fati Hakim Fati.Hakim@ChromaWay.com This story was distributed as a release by Chainwire under HackerNoon’s Brand As An Author Program. Learn more about the program . here

Blockchain Pioneer Acquires International Fashion House Blk DNM

Blockchain Pioneer adquiere International Fashion House Blk DNM

Blockchain Pioneer acquiert la maison de couture internationale Blk DNM

ब्लॉकचेन पायनियर ने इंटरनेशनल फैशन हाउस ब्लैक डीएनएम का अधिग्रहण किया

ブロックチェーンのパイオニアがインターナショナル ファッション ハウス Blk DNM を買収

Blockchain Pioneer adquire a casa de moda internacional Blk DNM

Blockchain Pioneer mua lại International Fashion House Blk DNM

区块链先锋收购国际时装屋 Blk DNM

Disclaimer: Paragraphs 8,9 and 10 of this article are AI-generated. The AI-tool was provided with basic information on how ASIC improves sustainability performance. Do you know that mining consumes up to 110 terawatt-hours of energy per year - the same amount of energy as a small country? In fact, a Cambridge Center for Alternative Finance (CCAF), shows that Bitcoin currently consumes around 110 Terawatt Hours per year — 0.55% of global electricity production, or roughly equivalent to the annual energy draw of small countries like Malaysia or Sweden. report by The use of new technologies in mining is becoming increasingly important as miners strive to stay ahead of the competition. Immersion cooling is among the latest technologies gaining popularity in recent years. It presents an opportunity to boost efficiency and lower expenses without the need to procure extra computers. is a process that involves verifying and recording transactions on a blockchain network. It is a critical component of the cryptocurrency ecosystem, as it ensures the security and integrity of the network. Cryptocurrency mining In the early days of cryptocurrency mining, anyone with a computer could participate and earn cryptocurrency rewards. However, as the industry grew, mining became more complex and resource-intensive, requiring specialized hardware and significant energy consumption. However, an increasing number of small enterprises are displaying a growing interest in cryptocurrency mining, including the adoption of modern technologies. With the advent of specialized equipment such as ASIC miners, startups and conventional energy companies now have an easier entry point into the field of crypto mining. The introduction of Application-Specific Integrated Circuit (ASIC) miners has revolutionized the cryptocurrency mining industry by significantly improving mining efficiency, reducing energy consumption, and increasing profitability. In this article, we will explore how ASIC miners have shaped the future of cryptocurrency mining and their impact on the industry. How ASIC Miners are Shaping the Future of Cryptocurrencies ASIC Improves sustainability performance ASIC (Application-Specific Integrated Circuit) miners have played a significant role in improving the sustainability performance of the cryptocurrency industry. The increasing energy consumption of traditional cryptocurrency mining methods has raised concerns about the environmental impact of the industry, particularly in terms of carbon emissions and energy consumption. Gone are the days of traditional cryptocurrency mining methods. The notion that coal and other polluting energy sources are more affordable is a fallacy. In fact, the majority of renewable energy sources such as hydropower, wind, and solar are currently less expensive than the cheapest fossil fuel alternative, with 90%, 75%, and 40% respectively offering lower costs. ASIC miners have improved sustainability performance by reducing the energy consumption required for cryptocurrency mining. Due to their specialized design and high efficiency, ASIC miners are able to perform mining operations using less energy than traditional mining methods. This has led to significant reductions in energy consumption and carbon emissions associated with cryptocurrency mining, as well as a reduction in the cost of electricity required to mine cryptocurrencies. This has made cryptocurrency mining more affordable and accessible to a wider audience, while also reducing its impact on the environment. Mining made easier through Gaming Cryptocurrency mining has traditionally been a complicated and technical process, requiring specialized hardware, software, and technical expertise. However, the rise of play-to-earn games has made cryptocurrency mining much simpler and more accessible to a wider audience. Play-to-earn games are blockchain-based games that allow players to earn cryptocurrency rewards for participating in gameplay. These games use a consensus mechanism known as Proof of Gameplay (PoG) to verify gameplay and distribute rewards. Through play-to-earn games, players can earn cryptocurrency by simply playing games, without the need for specialized hardware or technical expertise. Players can use their existing computers or smartphones to participate in gameplay, making cryptocurrency mining accessible to a wider audience. Furthermore, play-to-earn games have made cryptocurrency mining more enjoyable and engaging by incorporating gaming elements such as quests, challenges, and rewards. This gamification of cryptocurrency mining has made it more appealing to a younger audience, who may be less interested in traditional mining methods. The Potential Impact of ASIC Miners on Cryptocurrency Mining ASIC miners will reduce the time and energy required to mine cryptocurrency ASIC (Application-Specific Integrated Circuit) miners have revolutionized cryptocurrency mining by making it more efficient and profitable. These specialized mining rigs are designed to perform a specific hashing algorithm and are highly optimized for this task, unlike general-purpose CPUs or GPUs. Due to their specialized design, ASIC miners are able to process large amounts of data quickly and efficiently, making them much faster and more energy-efficient than traditional mining methods. This has reduced the time and energy required to mine cryptocurrencies, resulting in significantly lower mining costs and higher profitability. For example, a Bitcoin ASIC miner can perform hash calculations at a much higher rate than a general-purpose CPU or GPU, allowing miners to process more transactions and earn more cryptocurrency rewards in a shorter amount of time. This translates into lower energy costs and higher profits for miners. High increase in security blockchain technology ASIC (Application-Specific Integrated Circuit) miners have played a significant role in increasing the security of blockchain technology. Blockchain networks rely on a consensus mechanism to ensure the validity and security of transactions. One of the most important consensus mechanisms is proof-of-work (PoW), which requires miners to solve complex mathematical problems in order to validate transactions and earn rewards. ASIC miners are highly specialized machines designed for specific hashing algorithms. This means that they are much more efficient and powerful than general-purpose CPUs or GPUs, and require a significant amount of time and resources to develop. The increased security provided by ASIC miners has helped to ensure the integrity and stability of blockchain networks. By making it more difficult for attackers to execute their work, ASIC miners have helped to increase trust in these networks, making them more attractive to investors, developers, and users. More Energy Efficient Chips Typically, cryptocurrency mining chips demand a significant amount of energy, and their efficiency is typically measured in terms of hash rate per kilowatt or joules per kWH. A good example will be the high computational power, BM 1, BM 2, and BM Pro miners can mine , , , and with extraordinary efficiency and profitability. Bitmanu’s Bitcoin Litecoin Dash Monero With the increasing capability of ASIC chips, their power demands have also risen, while their efficiency has gradually improved as manufacturers shift to smaller chip designs. Previous generation miners were built with 7nm chips, while the latest generation now uses 5nm chips. In fact, the Bitmanu miner uses 3nm chips which shows an improvement in the energy level in terms of hash rate. Although transitioning from a 7nm to a 5nm (and eventually smaller) design process typically results in enhanced power efficiency and faster performance, it's not the sole method to boost efficiency for miners. Conclusion In conclusion, the emergence of ASIC miners has already begun to transform the cryptocurrency mining industry, making it more efficient, secure, and profitable. With advancements in chip technology and a growing emphasis on sustainability, ASIC miners are well-positioned to shape the future of the crypto industry. As the industry continues to evolve, we can expect ASIC miners to play a vital role in driving innovation and paving the way for new possibilities in the world of cryptocurrency.

Why ASIC Miners are Vital to the Future of Cryptocurrency Mining 

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Since n.d.

COMPANY RANKING

THE INDUSTRY SWEDEN

EVERGREEN INDEX #10373

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