Isn't that so? A professor from Nanjing University has come to test Web3 again! Sahara's performance after TGE was very impressive. I introduced the founder Sean Ren, who became a USC professor at a young age. Not only is his technology impressive, but his academic foundation is also solid. Now, another USC Dean Professor Salman Avestimehr and his student Dr. Aiden He have also come to take the exam. Let's sneak in! ⬇️ If there are still some reckless people who are engaged in blockchain, to be honest, there are almost no ordinary people who are engaged in AI. There's no other way, the industry needs scientific research to drive it, and transforming academic achievements into commercially viable products is the shortest path for technological innovation, especially prevalent in the Bay Area. When it comes to Salman Avestimehr and Aiden He, not many people in the Web3 circle know about them, but in the AI circle, even if you don't know, you have probably heard of and used FedML. FedML is almost the most widely used open-source machine learning framework, focusing on federated learning, distributed training, and model deployment. On Github, FedML has 3900+Stars, 755 forks, and 66 contributors. FedML is widely used in academia and industry, with over 50 related papers and winning the NeurIPS 2020 Best Paper Award. The founder of this framework, Chaoyanghe, is Dr. Aiden He, who holds a Ph.D. in computer science from the University of Southern California and has worked as a researcher at Meta, Google, and Amazon, participating in machine learning related projects. Aiden He's mentor Salman Avestimehr is also an industry expert. He is the Dean Professor of USC, with over 18000 paper citations and winning the President Obama PECASE Award. He is also the founding director of the USC Amazon Trustworthy AI Center, leading the Information Theory and Machine Learning Research Laboratory. From FedML to TensorOpera to today's @ ChainApera-AI, the master and apprentice have been working together to start a business, dedicated to providing AI Agent and GenAI infrastructure services for enterprises and developers. So far, they have completed $17 million in financing. What is ChainApera Simply put, it is a decentralized AI operating system built on top of super AI applications and full stack AI infrastructure, including: A creator economy system for the development, distribution, and monetization of AI intelligent agents Model training and inference architecture based on distributed GPU as the core Support AI native blockchain with verifiable ownership and token based incentives ChainApera aims to organically integrate users, developers, and infrastructure providers through a sharing economy model, and rebuild the way artificial intelligence is created and shared, which is open, collaborative, and tokenizable. How is the ChainApera system constructed ChainApera is probably one of the most complex projects I have ever seen, mainly because there are too many products. Upon initial counting, there are actually over 10 products, all of which are flywheels composed of AI production and consumption. AI terminal application layer: This is the user layer, with over 150000 paid daily active users, ranking among the top four DApps in the BNB ecosystem. It can provide users with a unified entrance to access hundreds of AI intelligent agents covering encrypted transactions, payments, productivity, and other scenarios Intelligent agent development platform layer: provides end-to-end solutions through modular tools and APIs, supporting developers to quickly create, deploy, and commercialize AI intelligent agents Federated AI infrastructure layer: a decentralized backend system that integrates federated learning, distributed computing, and on chain verification technologies to provide power and implement incentives for the operation of AI agents Does ChainApera also have a flywheel Yes, it's another flywheel. ChainApera's goal is to make it easy for everyone to build decentralized super AI agents, so its flywheel is a product matrix designed around ecological roles. Ordinary users can use cryptocurrency to consume AI services on demand, and if data can be provided, they can easily receive incentives or trade directly in the trading market; Creators can pledge tokens to complete the registration and deployment of agents, and users can directly receive a share if they consume; At the bottom level, GPU miners and token stakers need to work together to maintain the normal operation and security of the system. / ChainOpera has a strong academic and technical background, as well as long-term accumulation in FedML and TensorOpera. Its products have been launched and have real users, customers, and revenue. IDG, Amber, Finals, and Modular Capital have also provided capital support and have deep roots in the industry with Babylon, EigenLayer, and Sahara AI. Overall, it can be considered an excellent student, which also conforms to the mainstream narrative and the favorite elements of the university, and is worth paying attention to. This is a soft core science popularization article, through which you can have a partial understanding of the following knowledge: What is FedML How ChainApera builds a decentralized AI OS Collaborating with master and apprentice, the benefits are cut off by gold (not gold) Author: Anymose | A Soft Core Science Popularization Writer <End of Full Text> *This article is for educational purposes only and does not constitute any investment advice. Always remember DYOR!