Explore the future of blockchain and machine learning
Thursday May 2, 2024 (Virtual)
We look forward to welcoming you to the Coinbase Machine Learning and Blockchain Research Summit 2024.
Click 'Register' below to sign up for the event and stay informed as we finalize our featured speakers and agenda.
2024 Featured Speakers
Connect with leading experts, researchers, and contributors from the blockchain and AI industries at the ML & Blockchain Research Summit. Discover valuable insights and innovations from the sector's foremost voices.
Summit Agenda
Please note: The agenda is currently being finalized. Stay tuned for further updates as we finalize an exciting and informative agenda for all participants.
| Time (PST) | Topic | Speaker(s) | Abstract |
9:00 AM - 9:15 AM | Opening Remarks | ||
9:15 AM - 10:00 AM | Fireside Chat with Vitalik Buterin | Vitalik Buterin Co-founder of Ethereum Rajarshi Gupta Coinbase | In this fireside chat, Vitalik Buterin, co-founder of Ethereum, alongside Rajarshi Gupta from Coinbase, will delve into the themes of Vitalik's recent blog post 'The promise and challenges of crypto + AI applications.' |
10:00 AM - 10:30 AM | Building a Decentralized Cloud for Generative AI | Salman Avestimehr USC; FEDML | Salman Avestimehr at USC will examine developing a decentralized cloud for generative AI to tackle GPU demand and scalability, showcasing FEDML's work on distributed machine learning networks and future research directions. |
10:30 AM - 11:00 AM | Web3 and the Art of Fine Tuning Models for Advanced Users | Alberto Martin Google Cloud | Alberto Martin, Web3 Director of PM at Google Cloud, will delve into the intersection of Web3 technologies and LLM fine-tuning. He will discuss the challenges of mitigating hallucinations in LLMs and discuss how Web3's unique characteristics can be leveraged to enhance model accuracy for users in the blockchain ecosystem. |
11:00 AM - 11:30 AM | Bitcoin Staking | David Tse Stanford; BabylonChain | David Tse from Stanford will describe Babylon, a protocol designed to improve the security of Proof-of-Stake blockchains through integration with Bitcoin for checkpointing. The protocol aims to address inherent security vulnerabilities within PoS systems, offering a method to decrease stake withdrawal times while maintaining low annual transaction costs for checkpoint postings. He will also discuss how the ecosystem enabled by Babylon can impact AI/ML. |
11:30 AM - 12:00 AM | Crypto x Agent Coprocessors | Sam Green Semiotic Labs | Sam Green from Semiotic Labs will draw from basic economics and robotics to introduce an "agent coprocessor" framework. He will explain how compute solutions like decentralized oracle networks, zk/AI/TEE coprocessors, zkVMs, opML, and zkML fit within the framework. He will also discuss the trade-offs that each agent coprocessor solution makes for its method of verifiability and its ability to handle a spectrum of AI/ML workloads in real-time. Finally, he will highlight the importance of verifiable data. |
12:00 PM - 1:00 PM | Panel 1: Harnessing the Innovation of AI and Blockchain | Moderator: John Liu AWS Panelists: Sam Green Semiotic Labs Daniel Shorr Modulus Labs Salman Avestimehr USC; FEDML | This panel will explore the complementary strengths of AI and blockchain technologies and how their integration can drive innovation. Discover how AI's data processing and analytics capabilities can be augmented by blockchain's decentralized, transparent, and immutable nature. Gain insights into the challenges and solutions where this convergence can enhance data integrity and facilitate collaborative AI development across decentralized networks. |
1:00 PM - 1:30 PM | Zero-knowledge Proofs for Machine Learning: Progress and Challenges | Yupeng Zhang UIUC | Yupeng Zhang from UIUC will discuss the integration of zero-knowledge proofs (ZKPs) with machine learning, highlighting how ZKPs can verify the correctness of machine learning computations without compromising data privacy. He will explore the potential of zkML to facilitate secure and efficient machine learning on blockchain platforms, addressing the progress in this field and the challenges that remain. |
1:30 PM - 2:00 PM | Accelerating AI Innovations Using Blockchains | Vijay Dialani Coinbase | Vijay Dialani from Coinbase will discuss how the blockchain technology could be leveraged by AI developers to improve data provenance, traceability, audibility and decentralized decision making. |
2:00 PM - 2:30 PM | Dune’s Journey in Using Large Language Models for Text to SQL | Mats Olsen Dune Analytics | Mats Olsen from Dune Analytics will present on the development of a retrieval-augmented-generation engine using GPT-4, integrated with their extensive collection of user-generated content. The session will cover the evolution of Dune's engine, examining the outcomes of various iterations and the current status, with a forward-looking perspective on future developments. Additionally, Mats will discuss the technical infrastructure underpinning Dune's AI product and the broader strategy of leveraging AI to enhance features on dune.com. |
2:30 PM - 3:30 PM | Panel 2: AI (LLMs) for Blockchain | Moderator: Jonathan King Coinbase Panelists: Jason Gelman GCP Mats Olsen Dune Analytics Kostas Kryptos Mysten Labs Varsha Mahadevan Coinbase | This panel , titled 'AI (LLMs) for Blockchain,' will explore the transformative role of Artificial Intelligence, particularly Large Language Models, in advancing blockchain technology. We will examine how AI can refine smart contracts, bolster security measures, and enrich user experiences. Panelists will discuss the integration of AI capabilities in streamlining blockchain operations, foreseeing potential challenges, and shaping the future of decentralized technologies. |
3:30 PM - 3:45 PM | Concluding Remarks | Rajarshi Gupta Coinbase |
2023 Machine Learning and Blockchain Research Summit Highlights
Our 2023 event attracted the attention of 850+ registrants, a diverse mix of students, researchers, professors, and industry professionals from startups to Fortune 500 companies.
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