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SciFM Library

Conference Essays, Publications & Panels

Recordings 
Watch Recorded Panels
SciFM26 Panel 4 - Physics-Informed AI: When Should Models Learn Physics vs. Be Told It?
01:33:01
Lav Varshney (UIUC) - Scientific Creativity: Limits, Approaching Limits, and Breaking Limits
32:14
Surya Ganguly (Stanford /Andreessen Horowitz): Theories of Creativity and Reasoning in Generative AI
29:14
Sean Welleck: Test Time Scaling for Mathematical Reasoning tutorial
01:27:46
Kaustubh Tangsali: Al for Spatio Temporal Physics using NVIDIA PhysicsNeMo
01:40:40
Carmelo Gonzales & Kristopher Keipert (NVIDIA): Domain Adapted LLMs for Science
01:22:09
SciFM25 Panel Discussion: Creativity / Novelty / Emergence
56:55
Private video
30:09
03. SciFM24 Arvind Ramanathan: Foundation Models for Enabling Rational Design of Biological Systems
19:01
05. SciFM24 Karthik Duraisamy: Charting the course for SciFMs: Themes & Questions
32:56
08. SciFM24 Payel Das: Next-generation Frameworks for AI and Science, and Trust
26:05
04. SciFM24 Venkat Viswanathan: Scaling up Materials Foundation Models
01:09:35
09. SciFM24 Panel Discussion: Big Questions for SciFM
33:25
10. SciFM24 Ian T. Foster: Trillion Parameter Foundation Models as Discovery Accelerators
39:35
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