Responsible Machine Learning Summit 2024

2024 Responsible Machine Learning Summit: AI and Materials

The 2024 CRML Summit on AI and Materials will unite researchers, industry experts, and practitioners at the intersection of artificial intelligence (AI) and materials science. This one-day in-person summit will explore the latest advancements, responsible innovation, and future directions of AI applications in materials science. The summit aims to facilitate meaningful discussions, encourage collaborations, and showcase cutting-edge research and applications that enhance material design, discovery, and manufacturing through AI.

AGENDA

8 am — Registration & Breakfast

8:30 am — Welcome and Opening Remarks

• Welcome Address by Umesh Mishra, Dean of the College of Engineering
• Introduction to the Summit's Goals (William Wang and Stephen Wilson)

9 am — Opening Keynote

• Speaker: Eric Toberer (Colorado School of Mines)
• Session Chair: Stephen Wilson
• Title: TBD

10:15–11:30 am — Panel Discussion

• Topic: "Integrating AI into Material Discovery and Design"
• Panel Chair: Tresa Pollock
• Panelists: Eun-Ah Kim, Sam Daly, Anton Van der Ven, Ambuj Singh, Frederic Gibou, Murphy Niu
• Q&A session

11:30 am — Lunch Reception

12:30–1:30 pm — Afternoon Keynote 1: "AI-Assisted Advancement in Industrial Secondary Battery Materials"

• Speaker: Woosang Lim (POSCO)
• Session Chair: William Wang
• Title: TBD  

1:30–2:30 pm — Afternoon Keynote 2: "Scaling Up Simulations and Deep Learning for Materials Discovery"

• Speaker: Ekin Dogus Cubuk (Google)
• Session Chair: Stephen Wilson

2:30–4 pm — UCSB Research Highlights

• Speakers: Bolin Liao, Sam Daly, Mengyang Gu, Anton Van der Ven
• A showcase of the latest research and developments from UCSB faculty

4–5 pm — Closing Keynote: Title TBD

• Speaker: Eun-Ah Kim (Cornell)
• Session Chair: Stephen Wilson

5 pm — Closing Remarks

• Summary of the day’s discussions and insights

Sponsored by the Center for Responsible Machine Learning, Quantum Foundry, the Mellichamp Initiative on Mind and Machine Intelligence, and Megagon Labs.