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Original author: Advait (Leo) Jayant Compilation: LlamaC "Recommended message: Fully Homomorphic Encryption (FHE) is often hailed as the holy grail of cryptography. This article explores the prospects of FHE in the field of artificial intelligence, pointing out the current limitations. It also lists some projects dedicated to using fully homomorphic encryption (FHE) in the field of encryption for AI applications. For Crypto enthusiasts, this article provides an in-depth understanding of Fully Homomorphic Encryption. Enjoy!" Main text👇 A wants highly personalized recommendations on Netflix and Amazon. B doesn't want Netflix or Amazon to know their preferences. In today's digital age, we enjoy Amazon and Netflix.

Written by: Davide

AI + web3, worth looking forward to?

AI+Web3: Towers and Squares Introduction In the past two years, the development of AI has been accelerated, and the wave initiated by ChatGPT has not only opened a new world of generative artificial intelligence but has also brought about significant changes in the Web3 field. With the support of AI concepts, the Web3 market financing has clearly been boosted. In just the first half of 2024, 64 Web3+AI projects completed financing, among which Zyber365 achieved a maximum financing amount of 100 million dollars in Series A. The secondary market is more prosperous, with the total market value of the AI sector reaching $48.5 billion and a 24-hour trading volume approaching $8.6 billion. After the release of OpenAI's Sora, the average price in the AI sector increased by 151%. The AI effect has also radiated to Meme.

The Integration of AI and DePIN: Exploring Decentralization GPU Computing Networks Since 2023, AI and DePIN have gained significant attention in the Web3 space, with market capitalizations of 30 billion USD and 23 billion USD, respectively. This article aims to explore the intersection of AI and DePIN and examine the development of relevant protocols. In the AI technology stack, the DePIN network empowers AI by providing computing resources. The demand for GPUs by large tech companies has led to a shortage, making it difficult for other developers to obtain sufficient GPUs for computation. This often forces developers to choose centralized cloud services, but long-term high-performance hardware contracts often lack flexibility and are inefficient. DePIN provides a more flexible and cost-effective alternative, encouraging resource contributions through token incentives. In the field of AI,