AI x Crypto: Build AI Model with On-chain Data.

​Intro:

​We’ll explore using graph deep machine learning to analyze on-chain data. This aims to boost on-chain transparency and security by improving detection of insider trading, hacking, and other threats, and enhancing liquidity efficiencies for AI-powered DeFi.

​We’ll cover graph machine learning basics, its differences from traditional neural networks and data analytics, and its unique benefits for blockchain technology.

​Agenda:

​Attendees will be provided with drinks and dinner during the workshop.

​• 13:30 - 14:00: Check-in, registration, and networking with ML developers and the Pond team

​• 14:00 - 14:10: Graph Machine Learning in the On-Chain World - Dylan, Co-founder of Pond

​• 14:10 - 17:00: AI Model Workshop: Sybil Report On-Chain Model (Participants can utilize machine learning, deep learning, GNN, etc.)

​• 17:00 - 18:00: Discussion of outcomes

​Developer Requirement:

1. ​Please bring your laptop to the event.

2. ​Familiarity with Python and some experience in machine learning is sufficient.

​About Pond:

​Pond is building blockchain’s foundational model using graph deep learning to predict on-chain behaviors and streamline the development of AI-powered crypto-native applications in DeFi, social, trading, MEV and security sectors.

​Website: https://cryptopond.xyz/
Twitter: https://x.com/PondGNN

​Pond’s link prediction base model:
https://x.com/PondGNN/status/1821165698938261634

​Pond’s security model:
https://x.com/PondGNN/status/1824092202152174071

​Support Communities:

​Antalpha Labs:
https://x.com/Antalpha_Labs
Non-Profit Web3 dev community advocates spreading Hacker culture and promoting global Hacker collaboration.