ML4Sci

A Philanthropic Agenda for Accelerating Autonomous Labs

Supporting Talent, Public Infrastructure, and Policymaking

Oct 22 • 

Charles Yang

4

Venture Capital is Subsidizing U.S. Material Science Research

Venture-backed autonomous labs for now rival NSF’s annual budget for materials and chemistry

Oct 15 • 

Charles Yang

16

4

September 2025

The Lab Automation Startup Ecosystem

A Market Map and What's Missing

Sep 18 • 

Charles Yang

11

7

Inside Argonne's Aurora Supercomputer with Robert Underwood

The role of supercomputers in advancing scientific research with AI

Sep 10 • 

Charles Yang

1

37:56

July 2025

Professor Ken Ono on Working with AI in Mathematics

Ken Ono on how AI is already reshaping math research, and where it still falls short.

Jul 15 • 

Charles Yang

 and 

Maxwell Stern

1

1:06:37

Autonomous Science Lightning Talks

Taking in-Silico on the road to Boston

Jul 8 • 

Charles Yang

Five Months of AI for Science in the UK

What Britain is doing—and what the U.S. isn’t

Jul 1 • 

Charles Yang

8

June 2025

Professor Keith Brown on Automating Materials Discovery

How 3D printing and automation are accelerating materials research

Jun 24 • 

Charles Yang

 and 

Maxwell Stern

4

1

48:02

Building an AI-Powered Grid with Kyri Baker

How AI can optimize power flow, cut emissions, and make the grid more stable and efficient

Jun 11 • 

Charles Yang

 and 

Maxwell Stern

4

25:29

Request for Papers

Research Topics in Compute History & Policy

Published on Rough Drafts • Jun 3

May 2025

Shantenu Jha on Why Fusion Is a Computational Problem

How AI is reshaping fusion research through smarter simulations, small model ensembles, and community-driven benchmarks.

May 27 • 

Charles Yang

 and 

Maxwell Stern

6

32:28

The First Compute Arms Race

The Early History of Numerical Weather Prediction

May 20 • 

Charles Yang

12

3