Coinbase Logo
ML and BC Summit Hero Image 2024

Explore the future of blockchain and machine learning

Thursday May 2, 2024 (Virtual)

Thank you for your interest in the Coinbase Machine Learning and Blockchain Research Summit 2024.

Click 'Watch Event' below to view a recording of this year's summit.

We look forward to another exciting event in 2025.

Keynote with Vitalik Buterin

Watch Fireside Chat with Vitalik Buterin, co-founder of Ethereum, and Rajarshi Gupta, Head of ML at Coinbase. They explored the intersection of AI with Blockchain - how each of these groundbreaking technologies can augment each other.

Vitalik Buterin

Summit Agenda

Time (PST)TopicSpeaker(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

Watch Fireside Chat with Vitalik Buterin, co-founder of Ethereum, and Rajarshi Gupta, Head of ML at Coinbase. They explored the intersection of AI with Blockchain - how each of these groundbreaking technologies can augment each other.

Recorded Session

10:00 AM - 10:30 AM

Building a Decentralized Cloud for Generative AI

Salman Avestimehr at USC examined 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.

Recorded Session

10:30 AM - 11:00 AM

Recorded Session

Web3 and the Art of Fine Tuning Models for Advanced Users

Alberto Martin Google Cloud

Alberto Martin, Web3 Director of PM at Google Cloud, explored the intersection of Web3 technologies and LLM fine-tuning. He discussed the challenges of mitigating hallucinations in LLMs and how Web3's unique characteristics can be leveraged to enhance model accuracy for users in the blockchain ecosystem.

Recorded Session

11:00 AM - 11:30 AM

Bitcoin Staking

David Tse Stanford; BabylonChain

David Tse from Stanford described 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 also discussed how the ecosystem enabled by Babylon can impact AI/ML.

Recorded Session

11:30 AM - 12:00 AM

Crypto x Agent Coprocessors

Sam Green Semiotic Labs

Sam Green from Semiotic Labs drew from basic economics and robotics to introduce an "agent coprocessor" framework. He explained how compute solutions like decentralized oracle networks, zk/AI/TEE coprocessors, zkVMs, opML, and zkML fit within the framework. He also discussed 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 highlighted the importance of verifiable data.

Recorded Session

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

David Duong Coinbase

This panel explored the complementary strengths of AI and blockchain technologies and how their integration can drive innovation. It was discussed how AI's data processing and analytics capabilities can be augmented by blockchain's decentralized, transparent, and immutable nature. Insights were gained into the challenges and solutions where this convergence can enhance data integrity and facilitate collaborative AI development across decentralized networks.

Recorded Session

1:00 PM - 1:30 PM

Zero-knowledge Proofs for Machine Learning: Progress and Challenges

Yupeng Zhang from UIUC discussed 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 explored 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.

Recorded Session

1:30 PM - 2:00 PM

Accelerating AI Innovations Using Blockchains

Vijay Dialani from Coinbase discussed how blockchain technology could be leveraged by AI developers to improve data provenance, traceability, audibility, and decentralized decision making.

Recorded Session

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 presented on the development of a retrieval-augmented-generation engine using GPT-4, integrated with their extensive collection of user-generated content. The session covered 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 discussed the technical infrastructure underpinning Dune's AI product and the broader strategy of leveraging AI to enhance features on dune.com.

Recorded Session

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,' explored the transformative role of Artificial Intelligence, particularly Large Language Models, in advancing blockchain technology. It examined how AI can refine smart contracts, bolster security measures, and enrich user experiences. Panelists discussed the integration of AI capabilities in streamlining blockchain operations, foreseeing potential challenges, and shaping the future of decentralized technologies.

Recorded Session

3:30 PM - 3:45 PM

Concluding Remarks

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.

Frequently Asked Questions

When will the event take place?

The event is scheduled for May 2nd, 2024 (Thursday), Pacific Standard Time (PST).

Is the event being held in person or virtually?

The event will be held virtually, allowing attendees to participate from the comfort of their own homes or offices.

How can I register for the event?

Registration for the 2024 event is now open via this link. We will confirm your registration within a few days following your submitted registration form and provide you with the latest updates regarding our list of featured speakers and agenda topics.

Is there a fee to attend the event?

There is no fee to attend the Coinbase ML and Blockchain Research Summit 2024.

What topics will be covered during the event?

We are in the process of confirming the agenda and speakers for our 2024 event and will share more details on the topics soon.

Who can I contact if I have more questions?

If you have any questions or require additional information about the Coinbase Machine Learning and Blockchain Research Summit 2024, please fill out this contact form. Our team will review your inquiry and get back to you as soon as possible. This form is the quickest and most efficient way to address your queries and concerns about the event.