Edge

As the decentralized physical infrastructure networks (DePIN) landscape evolves in 2024, Roam has emerged as a frontrunner, boasting over one million self-built nodes and more than 1.72 million user registrations globally. This significant growth positions Roam at the top of DePINScan's hardware node rankings. The company's success is largely attributed to its innovative OpenRoaming™ technology, which facilitates seamless connectivity across over four million WiFi hotspots in 190 countries. This technological edge not only enhances user experience but also underscores the potential for widespread adoption of Web3 applications in everyday life, validating Roam's user-friendly business model in the decentralized wireless network sector. In October 2024, Roam announced the development of a global Telecom Data Layer alongside the launch of Roam eSIM, aimed at rapidly expanding its user base through a cost-effective and secure approach. The introduction of Roam Growth, a key module of the Telecom Data Layer, is set to revolutionize income generation for network participants. This initiative will enable users to transform their network devices, such as Roam routers, into economic assets through automated service integration, thereby facilitating multi-mining capabilities. The collaboration with Huma for router purchase plans further lowers entry barriers, encouraging broader participation in Roam's ecosystem. Roam's strategic focus on community engagement and innovation is evident in its ecosystem, which comprises four essential modules: Roam Network, Roam Growth, Roam Discovery, and Roam Community. Each module plays a vital role in fostering collaboration, incentivizing participation, and enhancing user experience. As Roam continues to expand its offerings and optimize its incentive mechanisms, it is poised to attract more developers and users, solidifying its position as a leader in the decentralized telecom data network space. The integration of AI into Roam's operations promises to unlock new opportunities for intelligent network management and user engagement, paving the way for a robust and sustainable future in the DePIN ecosystem.

Network3, a pioneering technology platform, has made significant strides in the realm of AI Layer2 solutions, enabling developers globally to efficiently infer, train, and validate models. Recent analysis by Depinscan, an extensive DePIN intelligence platform powered by IoTex, has revealed that Network3 miners have achieved a remarkable milestone with a payback period of just 71 days. This achievement positions Network3 at the forefront of the industry in terms of both payback period and daily revenue, underscoring its investment potential. A shorter payback period is crucial for investors as it indicates a quicker return on investment, making Network3 an attractive option for those looking to capitalize on emerging technologies. The success of Network3 can be attributed to its robust infrastructural network, which boasts over 555,000 nodes and has delivered 2 Petabytes of network service across more than 185 countries. This extensive reach has resulted in 97,000 active sessions daily and monthly revenues exceeding $100,000. By supporting the evolution of AI, Network3 empowers developers with tools for model optimization, federated learning, edge computing, and confidential computing. This dual focus on enhancing decentralized node efficiency while providing essential services for AI development positions Network3 as a leader in both technology and market viability. In addition to its technological advancements, Network3 has successfully secured $5.5 million in seed funding from prominent investors, including Borderless, EV3 Labs, and the IoTeX Eco Fund. With a growing community of over 252,000 followers on X, the platform is set to gain even more traction. As it continues to demonstrate its value in making AI more beneficial and efficient, Network3 is poised for rapid growth and increased investor interest in the future.

Network3: Revolutionizing Edge AI Infrastructure On November 26, CZ(Binance founder) tweeted, 'I am not against memes, but meme coins are getting 'a little' weird now. Let's build real applications using blockchain.' The market's obsession with meme coins has overshadowed utility-driven blockchain projects like Network3, a decentralized Edge AI infrastructure project poised for significant growth. Network3 integrates blockchain tokenomics, decentralized physical infrastructure networks (DePIN), federated learning, and Edge AI to challenge big tech's AI monopoly. With over 543,010 nodes across 185 countries, Network3's decentralized federated learning framework ensures privacy and data security while incentivizing node participation. The project's rapid growth, surpassing Helium in node count, signifies its potential to democratize computing power and data. Market Potential and Tokenomics The DePIN and Edge AI combination presents a trillion-dollar opportunity. DePIN incentivizes users to contribute physical resources, projecting a market size of $3.5 trillion by 2028. Currently undervalued at $1.33 billion, the DePIN sector is poised for exponential growth. Edge AI, with a projected market size of $269.82 billion by 2032, excels in data privacy and efficiency, attracting tech giants like NVIDIA and Google. Network3's tokenomics model, with a total token supply of 1 billion, ensures sustainable mining rewards through staking and mining. Investing in Network3 Investing in Network3 offers a gateway to the future of AI infrastructure, combining DePIN's physical world integration and Edge AI's decentralized computing power. With a clear economic model and exponential market potential, Network3 stands out as a pioneer in revolutionizing the AI sector.

Decentralized Dashcam for Tesla Vehicles Modern cars are now considered advanced computers on wheels, equipped with sophisticated camera systems that provide a 360° view of their surroundings. These systems are crucial for navigation, safety, and the development of autonomous driving technology. However, the full potential of these camera systems is often underutilized. NATIX Network has introduced VX360, a decentralized physical infrastructure network (DePIN) gadget designed to enhance the capabilities of Tesla's existing camera system. VX360 transforms the camera setup into a 360° dashcam that not only improves safety for autonomous vehicles but also offers opportunities for real-time mapping, property appraisal, insurance assessments, and more. This innovative device aims to capture unpredictable real-world driving scenarios, known as 'edge cases,' to better train autonomous vehicle AI.

375ai Revolutionizing Data Processing at the Edge As the world becomes increasingly interconnected through millions of smart devices, the demand for rapid data processing at the edge—right where the data is generated—is greater than ever. Edge AI enables intelligence where data is generated, on highways, bustling streets, in hospitals, and retail stores. It operates at the network's edge, making sense of the unstructured, real-time data that represents our world. 375ai has been at the forefront of Edge AI innovation, leveraging cutting edge proprietary hardware and strategic partnerships to pioneer the world’s first decentralized edge data intelligence network. After years of development, we’re thrilled to announce the launch of the 375go Discovery Testnet. Why Edge AI and Why Now? Edge AI deploys artificial intelligence on devices throughout the physical world, bypassing the need for centralized cloud processing. Recent advancements in AI, Internet of Things (IoT) devices, and computing infrastructure make edge AI not just possible but essential. The benefits include: Real-time Decision-Making, Increased Privacy, Reduced Costs, Adaptability, and Resilience. The explosive growth of IoT devices has resulted in a deluge of data—from a wide variety of sensors to mobile phones and traffic cameras. Instead of sending all this data back to centralized servers for analysis, edge AI makes it possible to process and act on that data locally. This results in lower costs, faster response times, enhanced privacy, and even autonomy in the absence of internet connectivity.

The landscape of artificial intelligence (AI) is undergoing a significant transformation with the emergence of Decentralized EdgeAI, which aims to democratize access to AI technologies. Currently, a handful of major tech companies, including OpenAI, IBM, Amazon, and Google, dominate the AI infrastructure layer, creating barriers for smaller entities and limiting access for millions of users and enterprises worldwide. This centralized control not only raises costs but also restricts innovation. Decentralized EdgeAI, exemplified by initiatives like Network3, seeks to address these challenges by integrating Decentralized Physical Infrastructure (DePIN) and EdgeAI, allowing AI systems to run on various devices while ensuring privacy and community involvement. One of the critical advantages of EdgeAI is its ability to reduce reliance on large data centers owned by tech giants. Traditional AI models, particularly large language models (LLMs) such as GPT-3, require substantial resources for training, often costing between $500,000 to $4.6 million. This financial barrier further entrenches the monopoly of Big Tech. In contrast, EdgeAI enables developers to train and deploy models on smaller devices, from smartphones to IoT appliances, broadening accessibility and fostering innovation. However, for EdgeAI to reach its full potential, devices must be able to communicate and share resources effectively, overcoming limitations in computation and storage. Network3's innovative Decentralized Federated Learning framework represents a significant leap forward in collaborative AI training. By allowing multiple devices or 'nodes' to pool their resources, this framework enhances the efficiency and growth of AI systems. The integration of strong encryption methods, such as Anonymous Certificateless Signcryption (CLSC), ensures secure data sharing while maintaining privacy. Furthermore, the use of Reed-Solomon coding optimizes data accuracy. As a result, Edge devices within the Network3 ecosystem can perform local analyses, leading to low latency and real-time responses. This decentralized approach not only mitigates the centralized monopoly but also opens up new revenue streams for developers and users, ultimately making AI more accessible and beneficial for all.