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J2 Innovations

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The collection is massive, covering 200 different innovations in categories such as transportation and consumer electronics, but you know the topic we’re most interested in is the food. Lots of interesting foods, appliances, and other culinary marvels ...

The Best Food Innovations of 2023, According to TIME

The Bank of Canada published a staff note on decentralized finance (DeFi) on Oct. 17, assessing the innovations that made it popular and the challenges and risks associated with its use.

Canada central bank assesses innovations and challenges of DeFi

The latest innovations and trends in AI (artificial intelligence), the cloud, Web 3.0, cyber security, climate technology, urbanism, and more, are all here at the world's largest technology and ...

Dubai: 6 AI-powered innovations that will make life easier for residents

One of Asia's largest tech exhibitions is set to kick off near Tokyo on Tuesday. CEATEC 2023 will feature products that demonstrate the latest uses for artificial intelligence. About 680 companies ...

CEATEC 2023 to show the latest AI innovations

A leading offshore wind developer is calling for innovations in the realm of floating offshore wind that support biodiversity enhancement and help ensure that wind farms co-exist peacefully alongside other sea users. A leading offshore wind developer is ...

Floating offshore wind developer calls for innovations that support biodiversity

This cutting-edge AI technology, known for its ability to autonomously generate text, images and other media, is redefining the paradigms of digital innovation. Generative AI holds the potential ...

917Ventures dives into generative AI innovations

Marketscategory Exclusive: Door maker PGT rebuffs $1.9 bln offer from Koch-backed Miter-sources October 10, 2023 Reuters, the news and media division of Thomson Reuters, is the world’s largest ...

PGT Innovations Inc

Technological innovations have produced robots capable of jobs that, until recently, only humans could perform. The present research explores the psychology of "botsourcing"—the replacement of human jobs by robots—while examining how understanding ...

Technology & Innovation

Sutton will explain how innovations in medical technology are saving ever more lives as well as demonstrably improving the quality of life of patients. In particular, he will discuss the evolution of left atrial appendage closure devices in stroke ...

Keynote at Advanced Manufacturing Minneapolis Addresses Transformative Medical Innovations

The Motley Fool has a disclosure policy. PGT Innovations, Inc. (PGTI) Q1 2021 Earnings Call Transcript PGT Innovations, Inc. (PGTI) Q3 2020 Earnings Call Transcript PGT Innovations, Inc. (PGTI ...

Why PGT Innovations Stock Rocketed Higher This Week

Unlocking the Power of Advanced Data Types in Big Data

A centralized exchange (CEX) and a decentralized exchange (DEX) are the two major traditional models for cryptocurrency trading vying for dominance. While CEXs often have user-friendly interfaces and high liquidity, they are often criticized for their potential security risks and centralization. DEXs, on the other hand, are decentralized platforms, allowing users autonomy over their assets. However, they often suffer from limited liquidity and complex user interfaces. The shortcomings of these two models form the basis for the emergence of a new model: Hybrid DEX and CEX. Hybrid Exchanges Hybrid DEX and CEX models represent an emerging approach to cryptocurrency trading aimed at empowering crypto traders to maximize the benefits of both centralized and decentralized exchanges and potentially revolutionize the cryptocurrency exchange landscape. This integration is designed to bridge the gap between the two traditional models by offering a blend of their strengths and minimizing the risks associated with them. However, a complete fusion of these two dissimilar entities might present a huge challenge, there are key indicators for the growing possibility of hybridizing CEX and DEX exchanges: Order Book Integration: Some hybrid exchanges integrate with CEX order books, allowing users to access deeper liquidity and potentially better prices. A prominent example of this is the 1-inch limit order protocol, a set of smart contracts that can work on any EVM-based blockchains. Fiat On-Ramps: Some hybrid models often offer fiat on-ramps, enabling users to directly buy crypto with fiat currency, similar to CEX exchanges. Self-Custody: Hybrid models often allow users to maintain self-custody of their assets, similar to DEXs. This implies that users can hold private keys and have full control over their funds. Benefits of Hybrid Models: The following benefits potentially accrue from the fusion of CEX and DEX platforms. Improved Liquidity: Merging CEX order books with DEX functionalities can potentially usher in increased liquidity and better price discovery for users. Enhanced User Experience: Fiat on-ramps and custodial options can make DEXs more accessible to users who prefer the convenience of CEXs. Improved Security: Hybrid models can potentially strike a balance between the security of centralized platforms and the transparency of decentralized platforms. Examples of Hybrid Exchanges There are numerous examples of hybrid exchanges with different functionalities. Some of these are: BinanceDEX BinanceDEX is an open-source with non-custodial functionalities. It is popular among crypto traders trading BRC-20  and other popular DeFi tokens. It's backed by Binance providing a layer of trust and confidence in its operations DODO DODO is a leading player in the hybrid space providing deep liquidity and low slippage through its unique "Proactive Market Maker" (PMM) algorithm, which is designed to automatically adjust the liquidity pool based on market conditions. Finally, DODO aims to address the liquidity challenges often faced by DEXs, potentially attracting users seeking deeper liquidity and lower slippage by adjusting liquidity pools. BHE BHE acts as an aggregator by allowing users to access liquidity from both CEXs and DEXs. Through its "DeCEX" service, it enables users to trade on centralized exchanges like Binance without KYC and potentially lower fees. It leverages a DEX trading mode with PMM (Passive Market Maker) technology, aiming to provide sufficient liquidity and smoother price curves. It seeks to address the shortcomings of the traditional models by offering: Decentralization: Its disallows LP pool and dealer control, ensuring user control over their assets. Comprehensive Trading Options: It trading platform allows users to access various trading options like spot, option, and OTC trading across multiple blockchains. User-Friendly Interface: BHE employs K-line charts and a user-friendly interface similar to CEX. Challenges Facing Hybrid Exchanges Although hybrid exchanges offer a promising blend of features from centralized and decentralized exchanges, they continue to face some significant challenges: Regulatory Challenges Crypto regulations are increasingly becoming a matter of diverse jurisdictions, making it difficult for hybrid exchanges to comply with local regulations. Striking a balance between decentralization and adhering to legal requirements is usually difficult. Varying Laws: Regulations can differ greatly from country to country, requiring hybrid exchanges to adapt their operations based on their target markets. This adds complexity and operational hurdles. Technical Complexity: Integrating blockchain technology, smart contracts, and a centralized matching engine requires a high level of technical expertise. Maintaining the security and stability of this complex system adds another layer of difficulty. Security Concerns: Balancing user control of private keys with the security of centralized elements like hot wallets presents a challenge. Hybrid exchanges need robust security measures to mitigate the risk of hacks and breaches. Onboarding New Users: Hybrid exchanges are a relatively new concept and need to compete with established centralized and decentralized platforms. Building user trust and attracting a significant user base can take significant time and effort. Conclusion: The world of cryptocurrency is constantly evolving with new innovations pushing its boundaries. The emergence of Hybrid exchanges is one of the groundbreaking innovations indicating a trend toward bridging the gap between the two major traditional systems. Hybrid exchanges can also be considered a significant addition to the cryptocurrency landscape. Finally, there are several examples of hybrid exchanges highlighting the diverse approaches within the hybrid CEX and DEX models. A centralized exchange (CEX) and a decentralized exchange (DEX) are the two major traditional models for cryptocurrency trading vying for dominance. While CEXs often have user-friendly interfaces and high liquidity, they are often criticized for their potential security risks and centralization. DEXs, on the other hand, are decentralized platforms, allowing users autonomy over their assets. However, they often suffer from limited liquidity and complex user interfaces. The shortcomings of these two models form the basis for the emergence of a new model: Hybrid DEX and CEX. Hybrid Exchanges Hybrid DEX and CEX models represent an emerging approach to cryptocurrency trading aimed at empowering crypto traders to maximize the benefits of both centralized and decentralized exchanges and potentially revolutionize the cryptocurrency exchange landscape. This integration is designed to bridge the gap between the two traditional models by offering a blend of their strengths and minimizing the risks associated with them. However, a complete fusion of these two dissimilar entities might present a huge challenge, there are key indicators for the growing possibility of hybridizing CEX and DEX exchanges: Order Book Integration: Some hybrid exchanges integrate with CEX order books, allowing users to access deeper liquidity and potentially better prices. A prominent example of this is the 1-inch limit order protocol, a set of smart contracts that can work on any EVM-based blockchains. Fiat On-Ramps: Some hybrid models often offer fiat on-ramps, enabling users to directly buy crypto with fiat currency, similar to CEX exchanges. Self-Custody: Hybrid models often allow users to maintain self-custody of their assets, similar to DEXs. This implies that users can hold private keys and have full control over their funds. Benefits of Hybrid Models: The following benefits potentially accrue from the fusion of CEX and DEX platforms. Improved Liquidity: Merging CEX order books with DEX functionalities can potentially usher in increased liquidity and better price discovery for users. Enhanced User Experience: Fiat on-ramps and custodial options can make DEXs more accessible to users who prefer the convenience of CEXs. Improved Security: Hybrid models can potentially strike a balance between the security of centralized platforms and the transparency of decentralized platforms. Examples of Hybrid Exchanges There are numerous examples of hybrid exchanges with different functionalities. Some of these are: BinanceDEX BinanceDEX is an open-source with non-custodial functionalities. It is popular among crypto traders trading BRC-20  and other popular DeFi tokens. It's backed by Binance providing a layer of trust and confidence in its operations DODO DODO is a leading player in the hybrid space providing deep liquidity and low slippage through its unique "Proactive Market Maker" (PMM) algorithm, which is designed to automatically adjust the liquidity pool based on market conditions. Finally, DODO aims to address the liquidity challenges often faced by DEXs, potentially attracting users seeking deeper liquidity and lower slippage by adjusting liquidity pools. BHE BHE acts as an aggregator by allowing users to access liquidity from both CEXs and DEXs. Through its "DeCEX" service, it enables users to trade on centralized exchanges like Binance without KYC and potentially lower fees. It leverages a DEX trading mode with PMM (Passive Market Maker) technology, aiming to provide sufficient liquidity and smoother price curves. It seeks to address the shortcomings of the traditional models by offering: Decentralization: Its disallows LP pool and dealer control, ensuring user control over their assets. Comprehensive Trading Options: It trading platform allows users to access various trading options like spot, option, and OTC trading across multiple blockchains. User-Friendly Interface: BHE employs K-line charts and a user-friendly interface similar to CEX. Challenges Facing Hybrid Exchanges Although hybrid exchanges offer a promising blend of features from centralized and decentralized exchanges, they continue to face some significant challenges: Regulatory Challenges Crypto regulations are increasingly becoming a matter of diverse jurisdictions, making it difficult for hybrid exchanges to comply with local regulations. Striking a balance between decentralization and adhering to legal requirements is usually difficult. Varying Laws: Regulations can differ greatly from country to country, requiring hybrid exchanges to adapt their operations based on their target markets. This adds complexity and operational hurdles. Technical Complexity: Integrating blockchain technology, smart contracts, and a centralized matching engine requires a high level of technical expertise. Maintaining the security and stability of this complex system adds another layer of difficulty. Security Concerns: Balancing user control of private keys with the security of centralized elements like hot wallets presents a challenge. Hybrid exchanges need robust security measures to mitigate the risk of hacks and breaches. Onboarding New Users: Hybrid exchanges are a relatively new concept and need to compete with established centralized and decentralized platforms. Building user trust and attracting a significant user base can take significant time and effort. Conclusion: The world of cryptocurrency is constantly evolving with new innovations pushing its boundaries. The emergence of Hybrid exchanges is one of the groundbreaking innovations indicating a trend toward bridging the gap between the two major traditional systems. Hybrid exchanges can also be considered a significant addition to the cryptocurrency landscape. Finally, there are several examples of hybrid exchanges highlighting the diverse approaches within the hybrid CEX and DEX models.

Can Hybrid Exchanges Push The Boundaries Of Cryptocurrency Trading?

Recently, the online community has been actively discussing the challenges of finding jobs in the IT sector. It has become particularly difficult for juniors to secure positions, and the situation is further exacerbated by mass layoffs and hiring freezes. In light of these events, many are questioning whether it is even worth entering the IT field and spending time on courses. What are the prospects for this industry? One of the main reasons for the current state of affairs is the rapid development of artificial intelligence, which took most professionals by surprise. To understand the scale of the changes, one only needs to look at the StackOverflow graph: the number of queries has almost halved since the release of ChatGPT on November 30, 2022. This statistic clearly indicates significant shifts in the industry's needs and development directions. The Growing Influence of AI on Programming In a world where everything changes daily, the arrival of ChatGPT and Copilot marked a new era in the daily life of programmers. Previously, fixing an error meant spending hours searching through endless forums and technical blogs. Now, comfortably settled at your workstation, you can simply ask a chatbot, and it will offer a solution—quickly and in a friendly manner. Of course, not everything is perfect, and sometimes ChatGPT makes mistakes, which can cause quite a bit of trouble and even irritation, especially when comments like "nothing works, stupid chat with an old database" start to sound more frequent. But if approached wisely, the benefits of such innovations are undeniable. For those with extensive experience in programming and adept at finding solutions to code-related issues, these new tools significantly simplify the job. Programmers who remember the times when StackOverflow was indispensable will probably smile, recalling the memes about how they "asked" for solutions from this resource before it was "parsed" by new technologies. ChatGPT, StackOverflow was an essential tool for developers, a true beacon in the tumultuous sea of coding. I not only searched for solutions there but also actively participated in the community life: posing questions, responding to them, and even spending some time in the top 5% of its users—an achievement that, though it seemed not so difficult, was indeed significant. But StackOverflow was not the only island of knowledge. We, developers, also delved into the depths of GitHub, Reddit, and other resources in search of those precious answers. And while using StackOverflow might have seemed simple, in reality, to truly benefit from it required substantial expertise and the ability to articulate one's thoughts and questions clearly. Significant Academic Insights In my search for additional arguments, I stumbled upon a scientific study by "British scientists" that reveals the profound impact of AI on the work of programmers. According to this study, published on the arXiv platform, future software engineers must not only master coding but also possess important "soft" skills such as problem-solving and interpersonal communication. https://arxiv.org/abs/2302.13229 The research emphasizes that AI is capable of automating many tasks currently performed by programmers, leading to significant changes in their professional roles. Now, as software development increasingly incorporates the use of AI, programmers face increasingly complex challenges. Clearly, the profession of a software engineer must adapt to new realities and changes in the technological landscape to remain relevant and effective in the ever-changing world of the future. In addition to the first study, my attention was drawn to another analysis published in the "World Journal of Advanced Research and Reviews," which examines the impact of artificial intelligence on employability. This study confirms that AI affects nearly all workers, causing qualitative changes in work processes. https://wjarr.com/content/artificial-intelligence-its-impact-employability The authors note that currently, it is not so much the automation of positions as it is the automation of individual tasks. Routine tasks, as known, are the first candidates for automation, and as many processes become routine over time, the trend toward automation only strengthens. This means that professions dominated by routine tasks undergo the greatest changes and require workers to develop new skills and competencies to adapt to the new work reality. Such changes underscore the importance of flexibility and the ability to learn as key qualities in the modern technological world. The Future and AI's Expanding Role Leading figures from tech giants such as OpenAI, Stability AI, Nvidia, and others unanimously claim that in five years, the role of human programmers will become a thing of the history. Already today, a staggering 41% of the code on GitHub is not born of human intellect but is generated by artificial intelligence. At the same time, many companies find themselves at a crossroads: they are unsure how to adapt to the rapidly changing realities, where to move next, and how to adjust their processes. Although programmers' productivity has increased thanks to automation, the overall business productivity often remains at the same level, creating a paradox: many programmers face a lack of tasks. This situation opens up a vast field for work on optimizing business processes. The role of AI is set to only increase in the future, and this unstoppable process poses the question: How will events develop further in this tense alliance between man and machine? In today's world, many companies find themselves in a state of confusion, facing uncertainty about what steps to take next and how to adapt their processes to new realities. Paradoxically, even though the productivity of programmers has increased due to automation, the overall business productivity often remains at the same level. This creates a unique situation where highly skilled programmers sometimes find no use for their abilities, opening the door to the necessity for optimizing work processes. Artificial intelligence continues to gain momentum, and its role in the future will only grow. This prospect raises questions about how companies can use AI to enhance their operations, not just as a tool for reducing the workforce. The complex becomes simple Research and practical experience confirm that employers and clients are willing to pay a high price for complex tasks, while compensation for routine work always remains low. Complex tasks from the past gradually become simple due to technological progress. For instance, in the 90s, a person who could reinstall Windows or connect a printer was worth their weight in gold. What previously required significant effort, such as creating a simple Django application to manage warehouse inventory and handle payment transactions, is now greatly simplified thanks to the availability of template solutions from services like ChatGPT. Adding a new endpoint for an API or processing data from JSON, which might have seemed challenging before, are now accessible even to those with limited programming knowledge. These changes highlight how rapidly the technological world is evolving, turning yesterday's challenges into today's routines. What is the future for programmers? In a world where technology evolves at an astonishing pace, many wonder whether it's worth learning to program and delve into the technological depths. The answer is as dynamic as the industry itself—absolutely, yes. Programming is not just about writing code; it's the art of solving business problems and translating them into a language understandable by machines. Knowing a programming language opens not just doors to the IT world but also enhances abstract thinking, improving the ability to tackle complex problems in any field. It's important not just to keep up with changes in trends but to actively participate in the evolution of technology. Striving to solve complex problems, expanding knowledge areas, exploring under-researched fields, and applying creative approaches to changing business processes are keys to success. Exploring the possibilities of AI creation and engaging in this process can be not just a professional challenge but also a profitable investment, considering the expected growth in the industry's capitalization. Thus, those ready to take on unsolved problems and contribute to the development of new ideas and solutions will find their place in this rapidly evolving world. Programming is much more than just coding; it's an opportunity to be at the forefront of modern scientific and technological progress. What should we do? No one knows what's gonna happen. But there's a piece of wisdom that says: Always learn and try to solve difficult problems! When, after reading this article, you're trying to concentrate and solve complex problems Recently, the online community has been actively discussing the challenges of finding jobs in the IT sector. It has become particularly difficult for juniors to secure positions, and the situation is further exacerbated by mass layoffs and hiring freezes. In light of these events, many are questioning whether it is even worth entering the IT field and spending time on courses. What are the prospects for this industry? One of the main reasons for the current state of affairs is the rapid development of artificial intelligence, which took most professionals by surprise. To understand the scale of the changes, one only needs to look at the StackOverflow graph: the number of queries has almost halved since the release of ChatGPT on November 30, 2022. This statistic clearly indicates significant shifts in the industry's needs and development directions. The Growing Influence of AI on Programming In a world where everything changes daily, the arrival of ChatGPT and Copilot marked a new era in the daily life of programmers. Previously, fixing an error meant spending hours searching through endless forums and technical blogs. Now, comfortably settled at your workstation, you can simply ask a chatbot, and it will offer a solution—quickly and in a friendly manner. Of course, not everything is perfect, and sometimes ChatGPT makes mistakes, which can cause quite a bit of trouble and even irritation, especially when comments like "nothing works, stupid chat with an old database" start to sound more frequent. But if approached wisely, the benefits of such innovations are undeniable. For those with extensive experience in programming and adept at finding solutions to code-related issues, these new tools significantly simplify the job. Programmers who remember the times when StackOverflow was indispensable will probably smile, recalling the memes about how they "asked" for solutions from this resource before it was "parsed" by new technologies. ChatGPT, StackOverflow was an essential tool for developers, a true beacon in the tumultuous sea of coding. I not only searched for solutions there but also actively participated in the community life: posing questions, responding to them, and even spending some time in the top 5% of its users—an achievement that, though it seemed not so difficult, was indeed significant. But StackOverflow was not the only island of knowledge. We, developers, also delved into the depths of GitHub, Reddit, and other resources in search of those precious answers. And while using StackOverflow might have seemed simple, in reality, to truly benefit from it required substantial expertise and the ability to articulate one's thoughts and questions clearly. Significant Academic Insights In my search for additional arguments, I stumbled upon a scientific study by "British scientists" that reveals the profound impact of AI on the work of programmers. According to this study, published on the arXiv platform, future software engineers must not only master coding but also possess important "soft" skills such as problem-solving and interpersonal communication. https://arxiv.org/abs/2302.13229 https://arxiv.org/abs/2302.13229 The research emphasizes that AI is capable of automating many tasks currently performed by programmers, leading to significant changes in their professional roles. Now, as software development increasingly incorporates the use of AI, programmers face increasingly complex challenges. Clearly, the profession of a software engineer must adapt to new realities and changes in the technological landscape to remain relevant and effective in the ever-changing world of the future. In addition to the first study, my attention was drawn to another analysis published in the "World Journal of Advanced Research and Reviews," which examines the impact of artificial intelligence on employability. This study confirms that AI affects nearly all workers, causing qualitative changes in work processes. https://wjarr.com/content/artificial-intelligence-its-impact-employability https://wjarr.com/content/artificial-intelligence-its-impact-employability The authors note that currently, it is not so much the automation of positions as it is the automation of individual tasks. Routine tasks, as known, are the first candidates for automation, and as many processes become routine over time, the trend toward automation only strengthens. This means that professions dominated by routine tasks undergo the greatest changes and require workers to develop new skills and competencies to adapt to the new work reality. Such changes underscore the importance of flexibility and the ability to learn as key qualities in the modern technological world. The Future and AI's Expanding Role Leading figures from tech giants such as OpenAI, Stability AI, Nvidia, and others unanimously claim that in five years, the role of human programmers will become a thing of the history. Already today, a staggering 41% of the code on GitHub is not born of human intellect but is generated by artificial intelligence. At the same time, many companies find themselves at a crossroads: they are unsure how to adapt to the rapidly changing realities, where to move next, and how to adjust their processes. Although programmers' productivity has increased thanks to automation, the overall business productivity often remains at the same level, creating a paradox: many programmers face a lack of tasks. This situation opens up a vast field for work on optimizing business processes. The role of AI is set to only increase in the future, and this unstoppable process poses the question: How will events develop further in this tense alliance between man and machine? In today's world, many companies find themselves in a state of confusion, facing uncertainty about what steps to take next and how to adapt their processes to new realities. Paradoxically, even though the productivity of programmers has increased due to automation, the overall business productivity often remains at the same level. This creates a unique situation where highly skilled programmers sometimes find no use for their abilities, opening the door to the necessity for optimizing work processes. Artificial intelligence continues to gain momentum, and its role in the future will only grow. This prospect raises questions about how companies can use AI to enhance their operations, not just as a tool for reducing the workforce. The complex becomes simple Research and practical experience confirm that employers and clients are willing to pay a high price for complex tasks, while compensation for routine work always remains low. Complex tasks from the past gradually become simple due to technological progress. For instance, in the 90s, a person who could reinstall Windows or connect a printer was worth their weight in gold. What previously required significant effort, such as creating a simple Django application to manage warehouse inventory and handle payment transactions, is now greatly simplified thanks to the availability of template solutions from services like ChatGPT. Adding a new endpoint for an API or processing data from JSON, which might have seemed challenging before, are now accessible even to those with limited programming knowledge. These changes highlight how rapidly the technological world is evolving, turning yesterday's challenges into today's routines. What is the future for programmers? In a world where technology evolves at an astonishing pace, many wonder whether it's worth learning to program and delve into the technological depths. The answer is as dynamic as the industry itself—absolutely, yes. Programming is not just about writing code; it's the art of solving business problems and translating them into a language understandable by machines. Knowing a programming language opens not just doors to the IT world but also enhances abstract thinking, improving the ability to tackle complex problems in any field. It's important not just to keep up with changes in trends but to actively participate in the evolution of technology. Striving to solve complex problems, expanding knowledge areas, exploring under-researched fields, and applying creative approaches to changing business processes are keys to success. Exploring the possibilities of AI creation and engaging in this process can be not just a professional challenge but also a profitable investment, considering the expected growth in the industry's capitalization. Thus, those ready to take on unsolved problems and contribute to the development of new ideas and solutions will find their place in this rapidly evolving world. Programming is much more than just coding; it's an opportunity to be at the forefront of modern scientific and technological progress. What should we do? What should we do? No one knows what's gonna happen. But there's a piece of wisdom that says: Always learn and try to solve difficult problems! Always learn and try to solve difficult problems! Always learn and try to solve difficult problems! When, after reading this article, you're trying to concentrate and solve complex problems When, after reading this article, you're trying to concentrate and solve complex problems

Will AI Be the End of Programmers? What Happens to the IT Industry?

Mastering the Craft of Transforming Data into Engaging Visual Narratives in User Interfaces

Virtual reality (VR) may soon replace pictures as the standard visualization tool for online property listings. How will this technology impact buyers and sellers while reshaping the real estate market? The Emerging Trend of VR Home Tours in Real Estate VR technology enables you to tour every room in a property and speak face-to-face with the rental agent without leaving the comfort of your living room couch. This might be why its global market value in the real estate sector will increase to $2.6 billion in 2025, up from $800 million in 2020. One of the biggest advantages of virtual home tours is accessibility. It doesn’t matter if a property is under construction or occupied by the owners — with VR, you can walk through it anyway. You can even schedule an assisted walkthrough with a rental or listing agent to get insider information on the property, even if you’re both on opposite ends of the country. If you plan on moving into a fixer-upper, you can use VR technology to visualize the property’s potential by overlaying renovations or design changes onto the real-world model. These features make this type of tour one of the most personal and immersive — which is why it’s catching on so quickly. With interest rates rising — the interest rate on 30-year mortgages increased from an average of 3.02% in 2020 to 5.8%-6.1% in 2024 — real estate demand is slowing. This is where VR comes in. It has the unique opportunity to benefit buyers and sellers by making touring more efficient and getting properties off the market faster. The Technical Advancements Making It All Possible While VR technology is fundamental to a virtual home tour, a handful of other innovations make it possible. The first is high-resolution 3D imaging, where a 360-degree camera scans the property. The seller then stitches the images together with specialized software to make a realistic virtual replica for tours. The second innovation making VR home tours possible is the Internet of Things (IoT). Sellers can use interconnected sensors to feed real-time data into the virtual world to make it more dynamic. Alternatively, they can use internet-connected edge devices to reduce the computational and bandwidth-related strain on end users. Advances in controllers and motion sensors have made interactivity possible. Instead of sitting through a prerecorded guided tour, you can move through the property at your own pace. Also, you can trigger animations — like lowering the blinds or opening the cabinets — with a flick of your wrist. Considering consumer applications makeup 53% of the VR market, the number of technological advancements directed toward real estate shouldn’t surprise you. There’s a lot of money in researching and developing software, design, and hosting platforms for these applications. The Implications of VR-Driven Real Estate Showings VR technology makes home tours more accessible, broadening the pool of interested parties. According to experts, they reach more potential buyers than the standard approach. They don’t just attract more people — they’re also more engaging. Usually, you only can see a property’s layout when looking at its listing online. If you’re lucky, you’ll also get many high-quality pictures. However, even those don’t give you a good idea of how it feels to be in the house. VR engages you more because it places you in an immersive, lifelike replica where you have agency and control. While the buyer-side implications of virtual home tours might be more noticeable, the seller-side ones are more impactful. Properties using VR real estate showings have selling prices 7.25% higher than the benchmark. Heightened buyer engagement and broadened accessibility lead to a competitive advantage. The process moves more quickly since virtual tours don’t require in-person assistance or scheduling. Some experts claim properties using VR real estate showings spend 20%-30% fewer days on the market. As a result, agents can take on more listings at once. Potential Challenges Buyers and Sellers Face Using VR Although VR home tours benefit buyers and sellers, they also often come with challenges — with the lack of VR headset accessibility being one of the most significant. While virtual viewings are still possible without one, immersive experiences are only possible with mid- or high-end equipment. Properties in low-income locations are more likely to be impacted by this issue. Another challenge buyers and sellers face is agent accessibility. While virtual home tours don’t need an assistant, many serious buyers want one so they can ask questions. However, the increased attention VR listings get can complicate scheduling. The last potential challenge revolves around the accuracy of virtual property replicas. Even though developing one costs less than $300 on average, some sellers might be unable to afford to redo theirs every time they renovate or change something. As a result, the tour might not resemble its real-life counterpart — making buyers feel misled. The Future Outlook of VR Home Tours in Real Estate Sellers can use VR to track eye movement, location data, and interaction information to see where buyers come from and which properties they’re most interested in. This way, they can optimize their marketing, demand forecasting, pricing, and risk assessment strategies. At the same time, buyers can remotely walk through properties regardless of location and conditions. VR technology’s impact on accessibility and engagement will likely transform what the standard property sale looks like. VR technology has the potential to permanently transform the real estate market, becoming the go-to choice for sellers and prospective buyers. As its popularity increases, it might become standard to include it alongside layout and property pictures and come to be something people expect to see. Virtual reality (VR) may soon replace pictures as the standard visualization tool for online property listings. How will this technology impact buyers and sellers while reshaping the real estate market? The Emerging Trend of VR Home Tours in Real Estate The Emerging Trend of VR Home Tours in Real Estate VR technology enables you to tour every room in a property and speak face-to-face with the rental agent without leaving the comfort of your living room couch. This might be why its global market value in the real estate sector will increase to $2.6 billion in 2025, up from $800 million in 2020. will increase to $2.6 billion will increase to $2.6 billion One of the biggest advantages of virtual home tours is accessibility. It doesn’t matter if a property is under construction or occupied by the owners — with VR, you can walk through it anyway. You can even schedule an assisted walkthrough with a rental or listing agent to get insider information on the property, even if you’re both on opposite ends of the country. If you plan on moving into a fixer-upper, you can use VR technology to visualize the property’s potential by overlaying renovations or design changes onto the real-world model. These features make this type of tour one of the most personal and immersive — which is why it’s catching on so quickly. With interest rates rising — the interest rate on 30-year mortgages increased from an average of 3.02% in 2020 to 5.8%-6.1% in 2024 — real estate demand is slowing. This is where VR comes in. It has the unique opportunity to benefit buyers and sellers by making touring more efficient and getting properties off the market faster. increased from an average of 3.02% increased from an average of 3.02% The Technical Advancements Making It All Possible While VR technology is fundamental to a virtual home tour, a handful of other innovations make it possible. The first is high-resolution 3D imaging, where a 360-degree camera scans the property. The seller then stitches the images together with specialized software to make a realistic virtual replica for tours. The second innovation making VR home tours possible is the Internet of Things (IoT). Sellers can use interconnected sensors to feed real-time data into the virtual world to make it more dynamic. Alternatively, they can use internet-connected edge devices to reduce the computational and bandwidth-related strain on end users. Advances in controllers and motion sensors have made interactivity possible. Instead of sitting through a prerecorded guided tour, you can move through the property at your own pace. Also, you can trigger animations — like lowering the blinds or opening the cabinets — with a flick of your wrist. Considering consumer applications makeup 53% of the VR market , the number of technological advancements directed toward real estate shouldn’t surprise you. There’s a lot of money in researching and developing software, design, and hosting platforms for these applications. makeup 53% of the VR market makeup 53% of the VR market The Implications of VR-Driven Real Estate Showings VR technology makes home tours more accessible, broadening the pool of interested parties. According to experts, they reach more potential buyers than the standard approach. They don’t just attract more people — they’re also more engaging. reach more potential buyers reach more potential buyers Usually, you only can see a property’s layout when looking at its listing online. If you’re lucky, you’ll also get many high-quality pictures. However, even those don’t give you a good idea of how it feels to be in the house. VR engages you more because it places you in an immersive, lifelike replica where you have agency and control. While the buyer-side implications of virtual home tours might be more noticeable, the seller-side ones are more impactful. Properties using VR real estate showings have selling prices 7.25% higher than the benchmark. Heightened buyer engagement and broadened accessibility lead to a competitive advantage. have selling prices 7.25% higher have selling prices 7.25% higher The process moves more quickly since virtual tours don’t require in-person assistance or scheduling. Some experts claim properties using VR real estate showings spend 20%-30% fewer days on the market. As a result, agents can take on more listings at once. spend 20%-30% fewer days spend 20%-30% fewer days Potential Challenges Buyers and Sellers Face Using VR Although VR home tours benefit buyers and sellers, they also often come with challenges — with the lack of VR headset accessibility being one of the most significant. While virtual viewings are still possible without one, immersive experiences are only possible with mid- or high-end equipment. Properties in low-income locations are more likely to be impacted by this issue. Another challenge buyers and sellers face is agent accessibility. While virtual home tours don’t need an assistant, many serious buyers want one so they can ask questions. However, the increased attention VR listings get can complicate scheduling. The last potential challenge revolves around the accuracy of virtual property replicas. Even though developing one costs less than $300 on average, some sellers might be unable to afford to redo theirs every time they renovate or change something. As a result, the tour might not resemble its real-life counterpart — making buyers feel misled. costs less than $300 costs less than $300 The Future Outlook of VR Home Tours in Real Estate Sellers can use VR to track eye movement, location data, and interaction information to see where buyers come from and which properties they’re most interested in. This way, they can optimize their marketing, demand forecasting, pricing, and risk assessment strategies. At the same time, buyers can remotely walk through properties regardless of location and conditions. VR technology’s impact on accessibility and engagement will likely transform what the standard property sale looks like. VR technology has the potential to permanently transform the real estate market, becoming the go-to choice for sellers and prospective buyers. As its popularity increases, it might become standard to include it alongside layout and property pictures and come to be something people expect to see.

VR Home Tours: The Future of Real Estate Showings

As we start the New Year 2024, here is a letter to future Crypto CEOs. The temptation to pre-mine coins may be great, but unless they really know what they are doing, they better put the currency out of their crypto project. Satoshi was the first and last of his name I know you have been pondering the mystery of Satoshi at his laptop, mining that entire Genesis block by himself. The cojones on that guy, right? Mr. Nakamoto also pre-mined about 1,100,000 coins, locked them up and there they are. You can look at them for free, they are still there. Mr. Craig Wright has also looked at them. You might be thinking you can also just premine like Satoshi and a few lucky CEOs that came after him like Vitalik (Ethereum) and Shibetoshi (Dogecoin),  but the world has dramatically changed since 2008, 2009, 2010, …, 2023. The problem is there came a herd of CEOs who premine and “airdrop” their premined (garbage) coins to their loyal fanbase. Their projects were soon tunnelling into the ground, with billions of dollars of other people’s money up in smoke. Examples include Do Kwon, Su Zhu and Kyle Davies, and Sam Bankman Fried who will be tried this year in March. The reality is, if you can just premine on your laptop just like Satoshi, you are not going to be trusted nor followed to victory, you will be arrested. Don’t piss off the SEC Regulator Before I tell you about your arrest warrant, I’ll tell you why you shouldn’t get on the SEC regulator’s nerves. The SEC regulator might now have the most hectic job in the financial industry. Gone are the days of a banker, living by the simple 3-6-3 rule; Put 3% interest on deposits, charge 6% on loans and be at the golf course by 3 p.m. Now Mr. Gary Gensler has a lot on his plate. Like trying to decide if altcoins are securities or commodities. Something that IMO will not be decided one way or another for decades to come. Security means it is like a stock. With a simplistic analogy, somebody can create a lot of it and therefore they should be subject to the laws that govern the creation and disbursement of stocks to the public. Because a company could create stocks, sell them to the public, then pull the rug with an “ ”. oops, our business model wasn’t perfect. Our bad, but shit happens Jail time. Commodity means it is like maize. With another simplistic analogy, somebody can farm a lot of maize and therefore they should be subject to the laws that govern the growth and disbursement of maize to the public. A company can sell their maize to the public and if they say “ ”, that is okay. Everybody knows maize is sometimes not very good. You should DYOR next time before buying. oops, our business model wasn’t perfect. Our bad, but shit happens Seriously, no jail time. I’ll put it this way. You are hustled a little if you deal in commodities, and you are hustled a great deal if you deal in securities. All this trouble for the SEC Chairman was started back in 2009 when the SEC realized BTC could not be stopped. Not even temporarily so that it, the SEC, can have a closer look. Since then, a lot of cryptocurrencies cannot be stopped and a lot of money is tied up in the hairy complexities of the cryptocurrency market. Even the anti-Bitcoin banker Jamie Dimon has engineered a cryptocurrency project. But Mr. Gensler shall not suffer fools. He has successfully slapped cryptocurrency CEOs with a litany of laws and regulations, one of them deeming altcoins securities. The thing with securities, it is illegal to pre-mine a ton in your basement and keep them secret from the SEC.  A breach of Rule 105(B) of the Securities Exchange Act, which requires that you disclose all your financials truthfully and without fail. So Mr. Crypto CEO, if you want to start a cryptocurrency project, do not premine unless you know what you are doing. If you ever premine keep the coins to yourself. Stop airdropping them all over Twitter or Mr Gensler might get word. Don’t print money, build community . In Web2.5, community, not currency or content, is King One way I see to get around the illegal but sinfully alluring idea of premining, is synchronized mining with the mining done by a multi-partite arrangement. I am speculating here. This would be like mining a Genesis block in bits and pieces through a multipartite protocol. Hence, The Genesis block won’t be something in one laptop/server like Satoshi did, to be shared with all. It will be something that exists in multiple pieces working in tandem. One part fails, everything fails. If it works, this encourages community building via what I could call proof-of-decentralization. For example, imagine mining coins for community use e.g. as a reward for voluntary public works cleaning, garbage collection, and novel recycling innovations. To verify it is in different devices within the same community, time stamps are coded-in that synchronize with GPS coordinates and people’s SIM cards. This discourages the hoarding of coins and further encourages the spreading of them far and wide. After all, if you are building a community you believe in, why not start with a foundation of equal opportunity for all? And nothing could be more equal opportunity than equal mining rewards for all. Finally, a supply cap should be put in (coded via proof-of-decentralization as well) because we really should be allergic to inflationary currencies. I still wonder why new altcoins must still be inflationary. Even Worldcoin. Mr. Sam Altman is an AI-building genius but with economics, I’m not so sure. All it takes is the equivalent of a stock split / turning a gold bar into gold dust, if the coins going around aren’t enough. It does take a certain attitude towards sharing with all, but if you do build a great thing, they will come. With all their different currencies. P.S. >> Proof-of-decentralization is cheaper in terms of energy consumption than proof-of-work. The former is a community-adhesive while the latter is a meritocratic way to guarantee fair market competition. Community building is not a competitive process, for it is unethical to compete against the wise elders, or even the younger people in that community that look up to you.

Dear Future Crypto CEO, Do Not Pre-mine

প্রিয় ভবিষ্যত ক্রিপ্টো সিইও, প্রি-মাইন করবেন না

Sehr geehrter zukünftiger CEO von Crypto, führen Sie kein Pre-Mining durch

Estimado futuro CEO de Crypto, no realice minas previas

Cher futur PDG de Crypto, ne pré-minez pas

प्रिय फ्यूचर क्रिप्टो सीईओ, पहले से खनन न करें

Future Crypto CEO の皆様、プレマイニングはしないでください

친애하는 Future Crypto CEO님, 미리 채굴하지 마세요

Caro futuro CEO da Crypto, não pré-minere

Уважаемый будущий генеральный директор Crypto, не занимайтесь премайном!

Sevgili Geleceğin Kripto CEO'su, Ön Madencilik Yapmayın

Kính gửi Giám đốc điều hành tiền điện tử tương lai, Đừng khai thác trước

亲爱的未来加密首席执行官，请勿预挖

If governments had been orange-pilled first instead of citizens, it would have been the end of finance as we know it. A Brief History before UN Bitcoin My idea of Bitcoin starting in the hands of multiple governments and not a handful of individuals is one I find too good to leave to only one blog article. Two days ago, I introduced you to this idea with the article ‘ ’. To recap, I mentioned how it would have been genius beyond Da Vinci, Gauss and Einstein combined, if the great Satoshi Nakamoto had, on that fateful day when he published the Bitcoin white paper online, taken a major step back and stopped his finger from pressing the send key. The Big Boy train that Bitcoin missed “If I do this, Bitcoin will likely become a global phenomenon. But governments will have been left behind so they will play to sabotage the technology. They won’t be glad to play catch up. But if I get them in the lead, they will gladly play lead while citizens gladly play catch up. Citizens have unlimited energy for playing catch up to such great power - the power to own money. Satoshi’s personal notes (Timeline - UN Bitcoin). Moreover, the power is now decentralized and decentralization is by definition the foray of the individual”- I lack the philosophical and other devices of knowledge to properly capture what this means. But I think we would have gotten something to rival the very power of the internet itself. Something to rival any emerging AI technology. and surpass Something powerful enough to finance continuous human space exploration. So that we would have had humans on the moon this year, and humans on Mars 2 years later. The thing is, this would be a financial revolution as momentous as the invention of money. Maybe more. When money was invented, the economic energy for trade was finally captured in a singular good, which dramatically improved the efficiency of our markets. For example, prices were cut from an exponential number that increases with the number of market goods to prices only as many as the number of goods – all priced in the good we now call ‘money’. However, the invention of money was challenged by the fact that the power to own money was still vested, apriori, in the hands of Lords, Chiefs, Kings and Presidents of our time. These political rulers could control the money because the supply was centralized. Some gold mine somewhere, some cowrie shells beach somewhere. They could impose exorbitant taxes, they could inflate the currency, they could loot it. To invent a currency immune to all 3 would be magic. Because it would mean the power to control money would now be something everybody and every organization have to earn. Even Kingdoms and Empires. There has to be proof-of-work. Wanna loot someone’s coins? you might be utterly disappointed, embarrassed, and jobless faster than the time it takes a rocket to get into the exosphere. After all, even a King is an individual. This is what UN Bitcoin would have given us. Bitcoin gave us a diluted version of this, so no wonder it is snailing to global victory. Wall Street in the era of UN Bitcoin As I mentioned before, our collective greed would likely push the UN Bitcoin mining hash rate to 500 zetta hashes / second. Let’s go with a modest 50 zetta hashes per second, 100 times the hash rate of Bitcoin in our timeline. The market cap would likely 100x as well to make UN Bitcoin worth 80 trillion US Dollars circa. 2023. Let that sink in. This is almost the current (our timeline) world’s money supply, which is only $83 trillion and almost , so the world’s GDP would have doubled in 14 years! To move from one to 80 trillion dollars in 14 years would have broken Wall Street’s speedometer, with an average yearly return of 400%, ~40 times the growth rate of the S&P 500. the GDP of all countries combined As I mentioned before, this is not wealth replacing our other assets like energy resources, gold, silver, housing, technology companies. It is wealth adding on and boosting them. From hitherto unimagined sources prior to the 2008 market crash. Unlike CDOs, UN Bitcoin would actually be adding valuable things to the world economy. It would also be the greatest story of money to ever tell. The first thing is dramatic expansion of the electricity energy grid. UN Bitcoin would be using stranded energy from nuclear power, volcanoes and renewables to inch us closer to a Type 1 civilization on the Kardashev scale, and away from carbon-pollutant fossil fuels. With such a big market cap, billions of dollars of UN Bitcoin would be changing hands every day around the world, a lot of it going towards carbon capture and storage technologies. This would make many people excited about the future while they earn very handsome salary packages. Me too. The next thing is Wall Street itself. The invention of lecherous instruments like CDOs and Ponzi ‘crypto tokens’ would be banned and canceled because there would be really few people gullible enough to invest in derivative assets that do not provide more value. The idea of ballooning the global debt would be put somewhere in the FED’s not-to-do list and quickly forgotten, with the idea of sustaining the hash rate for the US government put front and centre. The FED would get an honest day job. UN Bitcoin money flows would be huge (billions) and asymmetric. Spread out to all corners of this planet. While the world’s governments would be leading on the mining front, hence collecting those pretty fees before most private enterprises, innovations like the lightning network would be mostly in the private domain. In Africa, it would greatly help sustain livelihoods for the disadvantaged, while growing the middle class in developing countries on the speedy growth of UN Bitcoin. Good housing would be ubiquitous even in slums, using 3D printers of plastic materials. Cheap electricity would be abundant as Bitcoin’s growth takes the electric grid wherever it goes. Cheap electricity would bring piped utilities like fresh water closer to everybody, hence bring cleanliness and disease-free environs even in our slums. World politics, music, fashion, social media, everything would be transformed in wonderful ways. It cannot be, because it is only a fairy tale. But as Walt Disney has shown us, fairy tales should be told. To give us hope and an ideal to look up to. ******************* P.S. >>  Who wants a comic strip?

Bitcoin Is Snailing to Global Victory

বিটকয়েন বিশ্বব্যাপী বিজয়ের দিকে ধাবিত হচ্ছে

Bitcoin ist auf dem Weg zum globalen Sieg

Bitcoin está avanzando hacia la victoria global

Bitcoin se dirige vers la victoire mondiale

बिटकॉइन वैश्विक विजय की ओर बढ़ रहा है

ビットコインは世界的な勝利に向けて順調に進んでいる

비트코인은 글로벌 승리를 향해 달려가고 있습니다

Bitcoin está caminhando para a vitória global

Биткойн движется к глобальной победе

Bitcoin Küresel Zafere Sürülüyor

Bitcoin đang tiến tới chiến thắng toàn cầu

比特币正在走向全球胜利

AutoGPT — LangChain — Deep Lake — MetaGPT: Building the Ultimate LLM App

Several kinds of research and implementations have led to the discovery of numerous best-performing artificial intelligence systems in the past years. The idea behind deep learning was to amplify and replicate the brain’s structure and a function called artificial neural networks. Nowadays, every other individual is familiar with artificial intelligence, but few know that deep learning is basically a new name for Neural networks. Neural networks are older than most people think, and the idea was first Warren McCullough and Walter Pitts in 1944. Since then, the technology has been constantly tested and improved for now. proposed by 77 years Both of the Neural networks’ inventors were students of the and moved to in 1952 as the founding members of the first-ever “Cognitive Science Department.” University of Chicago MIT At first glance, Neural networks were being considered a very innovative and viable idea, and major researches in the neuroscience and computer science field were observed until 1969. When MIT mathematicians and became the co-director of the new MIT Artificial intelligence lab, the research was stopped. Hence, the technology was in a resting state until the 1980s when Neural networks were reborn. However, the technology then again fell into eclipse. Marvin Minsky Seymour Papert It was the dawn of computers that helped bring the technology back again, and this time it was fueled by the processing power of graphic chips. After its resurgence, Neural networks became the talk of the town. Liquid Neural Network Technology is Born After constant improvements and testing, This technology is capable of adapting its underlying behavior the training phase. a new type of Neural network technology was born. during The new term given to this technology was “Liquid” Neural networking technology devised by MIT Computer science and artificial intelligence Lab’s and his team. Ramin Hasani Ramin Hasani’s team’s efforts had turned the tides and bought us several revolutionary technologies like autonomous driving, robot control, and enhanced medical diagnostics. This new technology became the leading cause of several innovations due to its sophisticated analytical algorithms and innovative analytical abilities. After the technology training phase, the Neural network algorithms are provided with a large volume of relevant data that they analyze, understand, and store to hone their inference capabilities and optimize these devices’ performance. However, the “Liquid” Neural network could analyze and adapt to the success metrics over time and constantly harness new information to increase performance. The small number of neurons within the technology made it easier to understand and communicate information, which led to better decision making and performance. The main difference in the methodology introduced by Hasani and his team was that it focused on time-series adaptability. This means that rather than analyzing and understanding data based on a few numbers of images or static moments, the “Liquid” Neural technology could consider time-series data or sequences of images to better cultivate the information. The system’s design also enables researchers to further study and observe the network compared to traditional Neural networks. This kind of AI was generally called the “Black box.” The term “Black box” was given because researchers who were developing the algorithm knew the best way to input information and the criteria for determining a successful outcome. However, they could not identify the patterns within the Neural network to determine what was leading it to success. The “Liquid” Neural network model, on the other hand, gave the researchers more transparency, and it was also affordable when it came to implementing computing because it relied on fewer but more sophisticated computing nodes. There were literally many reasons why this “Liquid” Neural network technology was being considered viable in the future. The performance results derived from the technology also indicated that the “Liquid” Neural network offered better accuracy than its alternatives, and it could be used to more efficiently predict the future values of known data sets. How Neural Networks Work Today Let’s analyze how Neural networks or neural nets work today after being modernized for so many years. The Neural nets are basically computer programs that are assembled from millions of units. These units were designed to work as an artificial neuron. Above, we spoke about “Training a Neural network.” This training is linked to data integration. When a Neural network is being trained, it is actually fed information. This feeding allows it to recognize structures and patterns. Some examples of these recognitions can be spotting a familiar face in photos or identifying how to hit a ball. Moreover, with feedback and a constant interchanging of information, neural networks further modify their performance and information processing. This network actually learns over time and improves its performance. When training is complete, the Neural sets are all set to solve numerous problems instantly and effectively. They can notice deviations in historical patterns and automatically recognize trigger points in patterns, which generally means that they can identify, analyze and solve complex problems. The Key Strengths Of “Liquid” Neural Networks It is usually easy for a machine to follow a strict set of rules and regulations to solve a problem or even decipher a code. Instant Problem Identification & Solving However, when speech patterns and medical diagnostics need identification or solving, more variables are required to do the job. The machines need to understand what they’re looking for and how they can distinguish from other similar results that can alter the final outcome. And this part is exactly where “Liquid” Neural Networks come into play. This network is amazingly good at solving big problems, and nowadays, they’ve surpassed even humans in some aspects. The Feature Engineering Advantage Feature engineering is the process of Neural networks to analyze and create more possibilities, categories, and considerations that allow the user to understand what more needs to be done to ensure success. For example, if you’re training or teaching a machine to learn how to play Flappy Bird, you might have to teach it an algorithm so that it could learn how to play it. However, there is generally very little to no chance of ensuring that every tap on the phone by a machine would ensure successful passage through the given spaces. To better understand and cope with such conditions, the “Liquid” Neural networking technology gives you more categories that you need to focus on to program the machine to win at all costs. The Power of Flexibility The power of flexibility is that neural networks can be applied to almost every technology today. The seamless integration of this technology enables people to leverage it in any way they deem necessary. Whether you want this technology to solve a Rubik’s cube or you want it to recognize patterns or improve air traffic patterns to efficiently manage air traffic control – Neural nets can seamlessly recognize and identify patterns in almost any domain. What is the Future of Neural Networks? The “liquid” Neural network has an extremely promising future. What seemed like a dream has now become a reality. This technology has become one of the most important programming paradigms ever invented. Gone are the times when programmers used to tell the computers about the problems. The conventional approach of precisely defining a task to the computer so that it could solve it has been minimized by “Liquid” Neural Network. We’re constantly driving towards a future where a computer does not require precise information to solve our problems. Instead, it learns from training and observing the data and figures out the solution to the problem all by itself without human intervention. The number of highly expressive neurons in a Neural network makes it more feasible and easier for humans to interpret decisions and solve problems through technology. Hasani said, “Just changing the representation of neurons can enable you to explore new categories and solve extremely sophisticated problems that otherwise would’ve not been possible.” Moreover, experts say that we’ll have a more sophisticated and complex network inspired by nature in the future. The current model of the network is just the beginning of technological advancements. One of the most remarkable feats of the “Liquid” Neural network is its ability to work with insufficient knowledge. In a world where you have to program/feed every little piece of information into the machine to ensure maximum efficiency and performance, neural networks surpass every other technology. Its ability to work with insufficient knowledge, parallel processing, distributed memory, and fault detection and fixing. This seamless integration of information through the “Liquid” Neural network is making machines more robust and smarter. With improved resilience to unwanted or noisy data – “Liquid” neural networks are making machines more accurate.

An Introduction to “Liquid” Neural Networks

Photo Credit, Jeremy Weate envisions a smart city as you would expect it. Drone deliveries, everything is IoT and automation wherever possible. Buzzwords include sustainability, Artificial Intelligence and the usual 2017 onward Blockchain shebang. The idea is that Society 1.0 were the hunter-gatherers followed by agriculture (2), industrialization (3), information (4), and now the "super-smart-society" (5) or how some may call it: I-sure-hope-robots-do-not-take-over. Society 5.0 Beyond power-point presentations and fund raisers, the concepts around smart cities sound like a lofty vision with no clear prospect of how or when it would actually unfold - but fair enough, . we are getting there Been there, done that Electric cars have been around since the , but it took centuries and to change this (left) to this (right). 1800s one man from South Africa Fair enough, we had a few decent models, but electric cars never had the hype and dominance they have today. Smart cities aren't all that different. Virtually all of the key components needed to build them have been around for quite a while, yet we barely see any drones in the city skies, cars have drivers and there is no bar code on our wrists yet either. Ultimately, it all comes down to outstanding individuals and regulations. "Like all innovations that pose a risk to life and property, drone technology has several problems to solve before it can be incorporated into the global economy and airspace of nations around the world" write Anthony DiNota, Steve Douglas, and Dave Marcontell on . Forbes The smart city vision goes something like this. "The refrigerator orders itself full and tractors make the food on the field autonomously. Also: Robots" Technology and innovation policies have now become a mainstream political agenda. Let's look at Japan, a country infamous for it's love for tech and robots. Japan’s regular budget for science and technology stayed pretty much the same for decades (e.g. to ) at around 3.6 trillion yen (US$33 billion ). It suddenly shot up to 3.8 trillion yen (US$35 billion) in 2018 then to 4.2 trillion yen (US$38 billion) in 2019 . 2002 2017 or in other words: a lot, but always the same (or in other words: increasingly more 'lots') Technology is the new word for magic Tech has become the . Especially artificial intelligence. From healing diseases to becoming , new scientific discoveries and advancements have sheer limitless potential. But there is something else drawing us in: money. If we google up the we find investors, oil people and tech. Lots and lots of tech. From Bill Gates, to Mark Zuckerberg, to Jeff Bezos. They are infamous, their companies become huge and everyone wants to be in early (keyword: ). Investments follow the same 3-step-plan that Blockchain start-ups, dot.com bubble or ICO investors did. new snake oil immortal richest people on earth unicorns 1. Invest in [tech] start-up. Much AI. Very Blockchain. 2. Value goes wow 3. Cash out (bro down) Governments are committed: Smart Cities it is Developed countries follow a pattern. They rise, they grow and then they experience prolonged economic stagnation. The recipe is consistent: ever-intensifying competition on a global scale, changing structure of value creation, depopulation and ageing, and growing fiscal pressure from rising government on social security and justice. expenditure The answer: technology. The problem: the lack of it Dear Hackers: How many more times will we find ourselves at a supposedly futuristic state-of-the-art tech expo just to be presented with the same ol' recognition presentation? We need competition When companies are looking for talent they increasingly more ask for one thing: experience. But not CVs. Winners of (Pro tip below)* Software portfolios. Former senior employees of tech giants or to sum it up: results. data science competitions You could have been a Kindergarten dropout but if you also happened to build the next big thing after Blockchain, you're the man (or woman). The key to the city: functioning tech It's not about reinventing the wheel, but change doesn't happen in tiny increments either. Remember the steam engine? Electricity? The internet? These were the game changers that moved the world. Another example? 7-eleven. 7-eleven was suddenly everywhere. We didn't see it coming. There was no hype. The convenience store chain just slipped into our lives subtly and now it's a billion dollar company. Why? A good product. Simple. Another example is . It's nothing flashy, the page clearly wasn't written by a native speaker, yet it has an edge: it works. It's a chatbot that works and doesn't cost a penny. Now I'm not going to list my top 20 tool recommendations here, but I wanted to include this example for a good reason: it's overlooked. Many are. Uni Me Stop the funding Make fun of it all you want, but a google site is up lightening fast, costs literally nothing, has a 5 minute learning curve and, done right, outperforms any word-press or hard-coded web-page on most verticals. It's 80/20 once again. Start with templates and drafts and start hiring a qualified well audited pro later. Enough of the cheap-labor-MVP's that are never up. The Beta releases that never turn into something that has legs. Conclusion The desired smart city, the Society 5.0, isn't going to pop up anywhere anytime soon - but it's coming and tech companies that we won't have on our radar until 4-X years later but that are already out there will be on the forefront. Let's hope artistic gifs like this one from will take shape and bring upon these awesome green cities before we destroyeour environment so much that have to build them on Mars. Uni World *Pro-tip: There is a lot of noise on Kaggle nowadays, so it can be hard to stand out. That's why good courses such as LinkedIn learning (they have a free trial) and smaller platforms such as bitgrit (not nearly as many competitors) can be a great place to boost your value as 'the tech guy'.

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