Layer-1 data network Flare teams up with Google Cloud for AI hackathon
Flare and Google Cloud are betting on decentralized AI as they launch a hackathon with a $100,000 prize pool at UC Berkeley.
The information-focused community Flare (FLR) and Google Cloud are teaming up for the Verifiable AI Hackathon at UC Berkeley, the place builders will compete to construct AI purposes that mix off-chain processing and blockchain know-how, crypto.information can completely verify.
The occasion, happening from March 7-9, will characteristic a complete prize pool of $100,000, with $60,000 allotted for in-person individuals at California Memorial Stadium and $40,000 for digital individuals on DoraHacks.
The hackathon will concentrate on Trusted Execution Environments, which allow advanced AI duties to be processed off-chain whereas sustaining Flare’s blockchain stack. Google Cloud’s Confidential Compute can be out there to assist builders experiment with integrating AI and decentralized techniques.
“This hackathon represents a groundbreaking initiative as we mix Google Cloud’s Confidential Compute know-how with blockchain for the primary time. It’s an thrilling alternative to discover how verifiable AI can reshape industries and drive innovation.”
Google Cloud
4 tracks to discover AI and blockchain integration
Individuals can select from 4 tracks, every targeted on totally different AI and blockchain purposes. Social AI Brokers explores AI that mimics human interplay, whereas RAG Information Programs offers with AI working with structured information. DeFAI (DeFi x AI) combines AI with decentralized finance, and Consensus Studying focuses on AI fashions skilled in decentralized networks.
For Flare, this initiative is the results of a multi-month partnership with Google Cloud, which started in January 2024 when Google Cloud turned a validator and information supplier for Flare. Flare CEO Hugo Philion commented on the hackathon, saying the collaboration is setting “new requirements within the intersection of blockchain and confidential computing.”
