ML4Sci

Antitrust & the Science Instrument Industry

And the Opportunity for an "Anduril for Science Instruments"

Dec 8 • 

Charles Yang

13

1

3

AI for Science: The Next Geopolitical Battleground

How the U.S., U.K., and China are orienting national AI policy toward AI for Science

Dec 1 • 

Charles Yang

11

1

1

November 2025

Science Advances One Instrument at a Time

A new perspective on how Science advances

Nov 23 • 

Charles Yang

20

6

4

October 2025

A Philanthropic Agenda for Accelerating Autonomous Labs

Supporting Talent, Public Infrastructure, and Policymaking

Oct 22 • 

Charles Yang

6

3

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

24

5

3

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

1:06:37

Autonomous Science Lightning Talks

Taking in-Silico on the road to Boston

Jul 8 • 

Charles Yang

3

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

3

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

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

2

25:29