deAI

KIP Protocol signed a memorandum of cooperation with TISTR, Thailand's largest government research institution, to promote the development of DeAI+ regenerative medicine

ChainCatcher news, recently, KIP Protocol announced on its official Twitter that its AI deployment solution provider Kipley.ai has officially signed a Memorandum of Understanding (MOU) with the Thailand Institute of Scientific and Technological Research (TISTR). TISTR is the largest government research institution in Thailand, directly under the Ministry of Higher Education, Science, Research and Innovation of Thailand.The strategic cooperation between KIP Protocol and TISTR will utilize the AI tools of Kipley.ai to analyze stem cell samples with the utmost precision, promoting faster and more reliable breakthroughs in regenerative medicine.It is reported that the AI technology architecture of Kipley.ai has been applied in key fields such as life sciences, agriculture, and biotechnology by more than 200 universities, government agencies, and non-governmental organizations. This cooperation aims to address significant challenges in the biotechnology and medical fields, benefiting millions of patients worldwide.KIP Protocol is a decentralized underlying protocol focused on AI and is the world's first decentralized RAG network. Over the past year, KIP has continuously expanded its customer base in the education, entertainment, and government cooperation sectors, partnering with leading Web2 and Web3 companies, and consistently promoting real use cases of DeAI while achieving sustainable user growth.

Web3Caff Research releases DeAI research report: What explosive possibilities are emerging at the intersection of AI and Web3 and its subfields

ChainCatcher news, the Web3 industry research and analysis platform Web3 Caff Research recently released an in-depth report on DeAI. The report points out that the intersection of artificial intelligence and Web3 is attracting widespread attention. The decentralized nature of Web3 technology helps alleviate pain points in AI development, such as data shortages, algorithm breakthroughs, and computing power demands, while advancements in generative AI bring new opportunities and challenges to the Web3 ecosystem. The report further analyzes the development prospects and market potential of the DeAI track, emphasizing that Web3's empowerment of AI is mainly reflected in external influences such as incentive mechanisms, digital assetization, and the establishment of free trading markets.The report further notes that although Web3 introduces economic incentive mechanisms and attempts to establish an open trading market through data or model assetization, its actual effectiveness is limited due to the limited number of crypto users and the significant mismatch between the massive data and computing power requirements for AI model training. Additionally, the report emphasizes that while zero-knowledge proof technology helps achieve model verifiability, challenges remain significant in areas such as quantitative processing, RAM consumption, proof generation time, and responding to adversarial attacks.At the same time, the efficiency and cost issues of the combination of AI and cryptography, deep fakes in AI, and communication bottlenecks in model training also pose severe challenges to the integration of the two. However, the report optimistically envisions that with technological advancements, the intersection of AI and Web3 will continue to strengthen, finding new ways to efficiently serve the digital world through the interaction of AI Agents and smart contracts.
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