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In this office hours session, Ryan from World and Zhenfei from Polyhedra delve into zkML (Zero-Knowledge Machine Learning) opportunities and practical applications. They address questions from bootcamp participants on various zkML scenarios, such as on-chain credit score systems, client-side proving, and data privacy. The discussion also touches on tools like zkPyTorch and their potential applications in DeFi, AI safety, and robustness, offering valuable insights for developers and researchers. About the Explore Expander Bootcamp: The Explore Expander Bootcamp is a six-week program designed to teach participants about zero-knowledge proofs, the Expander compiler, and Generalized Knowledge Representations (GKR). Participants will have the opportunity to build projects contributing to Ethereum's future, receive a certificate upon completion, and compete for grants from a $250,000 prize pool. ___________ Timestamps: 00:00 Introduction and Session Overview 01:03 Welcoming Ryan and Zhenfei 01:44 Understanding zkML Applications 07:07 Privacy in zkML 14:30 zkPyTorch and Tooling 20:36 Hackathon Ideas and Recommendations 24:37 Q&A and Closing Remarks ___________ Join the Community 🐥 Encode Twitter: https://x.com/encodeclub 🗣 Encode Discord: / discord About Polyhedra Polyhedra is building foundational infrastructure for trust and scalability in AI and blockchain systems enabling secure, verifiable and high-performance applications. Read more: https://www.polyhedra.network/ About Encode Club Encode Club is a global community of top developers, professionals and talented students in Emerging Tech. Through leading educational programmes such as hackathons, bootcamps and accelerators we help you advance your career and work with transformative companies. Read more here: https://www.encode.club/