32:01

Valeria Bertacco: Hardware accelerators for next-generation AI models

35:26

Brendan Kochunas: Performance Aware Program Synthesis for Scientific Computing

45:27

Panel: Algorithms, AI, and advanced computer architectures for efficient scientific applications

30:11

Venkat Raman: Towards “Persistent Computing”: Next Generation of Computational Science

10:01

Karthik Duraisamy: SciFM24 Summer School Opening Remarks

12:55

Venkat Viswanathan: SciFM24 Summer School Goals

01:44:55

Ian Foster: Foundation Models for Science

47:57

Jan Janssen: Foundation Models for Materials Discovery

30:11

Bharath Ramasundar: Chemical Foundation Models for Drug Discovery

40:10

Aditya Grover: Foundation Models for a Sustainable Planet

22:40

Erica Briscoe: Scientific Feasibility (ScFy)

01:03:04

Philippe Schwaller: Learning the Language of Chemistry

26:20

Lav Varshney: Modeling and Measuring Scientific Creativity

28:49

Boyuan Chen: Robot Scientist

26:28

Jia Deng: Foundation Models for Materials Synthesis

24:20

Wei Wang: Graph Neural Networks for Learning System Dynamics

21:27

Rose Yu: GENIE: Generative Foundation Models for Automated Climate Science

02:03:46

Paris Perdikaris: Aurora: A Foundation Model of the Atmosphere (Tutorial 1)

01:05:22

Maximilian Herde: Poseidon: Efficient Foundation Models for PDEs (Tutorial 1)

44:10

Alex Brace: Introduction to Tokenizing Scientific Data - Omics (Tutorial 2)

26:14

Archit Vasan: Introduction to Chemical Data (Tutorial 2)

34:48

Alex Wadell: Introduction to Tokenizing Scientific Data - Training Tokenizers (Tutorial 2)

31:02

Alex Brace: Introduction to Tokenizing Scientific Data - Byte Pair Encoding Tokenization

54:32

Gautham Dharuman: GenSLM- Infrastructure and Downstream Utilization (Tutorial 3)

50:34

Zongyi Li: Tutorial on Neural Operators (Tutorial 3)

48:49

Bharath Ramsundar & Amal Sebastian: Tutorial on Vision Transformers (Tutorial 3)

01:10:53

Tony Zhuang: Diffusion Models for Solving Forward and Inverse Problems in PDEs (Tutorial 3)

01:04:37

Alex Wadell: Neural Scaling Laws - Fitting Scaling Laws for SciFMs (Tutorial 3)

01:06:55

Ozan Gokdemir: Retrieval Augmented Generation - RAG (Tutorial 4)

01:10:25

Nicholas Chia: AI Agents for Autonomous Labs (Tutorial 4)

01:23:39

Gautham Dharuman: Protein Design Workflows Employing RL and Preference Optimization (Tutorial 4)

01:09:43

Chris Collison: Large Language Models and Autonomous Agents in Chemistry (Tutorial 4)

08:49

Murali Emani: Artificial Intelligence Testbed at Argonne National Laboratory (Tutorial 5)

35:29

Sylvia Howland: Cerebras Systems (Tutorial 5)

31:14

Vijay Tatkar: SambaNova DataScale SN30 & Platform Architecture (Tutorial 5)

28:09

Chad Martin: Graphcore Hardware and Software (Tutorial 5)

30:27

Sanjif Shan & Hatice Ozen: Groq (Tutorial 5)

31:30

Sam Foreman: LLMs on Polaris (Tutorial 5)

56:37

Varuni Sastry: Programming Novel AI Accelerators for Scientific Computing Part 1 (Tutorial 5)

38:06

Sid Raskar: Programming Novel AI Accelerators for Scientific Computing Part 2 (Tutorial 5)

59:25

Zilinghan Li: Federated Learning Tutorial: Concepts, Applications, Challenges, and Framework

01:14:34

Pedram Hassanzadeh: AI & the 2nd Revolution in Weather and Climate Prediction (Hackathon PDE Group)

59:44

AIM/MICDE Seminar - Boyce Griffith: Immersed methods for fluid-structure interaction

43:42

06. SciFM24 M. Mahoney: Foundational Methods for Foundation Models for Scientific Machine Learning

10:01

15. Award Ceremony and Closing Remarks

55:24

14. SciFM24 Panel Discussion: Funding and Venture Ecosystem

30:15

13. SciFM24 Jason Pruet: Talk title: University Laboratory Partnerships in the AI Era

39:35

12. SciFM24 Petros Koumoutsakos: Fundamental Physics and Foundational Models for the Forecasting ...

35:07

11. SciFM24 Animashree Anandkumar: Neural Operators: AI Accelerating Scientific Understanding

33:25

10. SciFM24 Ian T. Foster: Trillion Parameter Foundation Models as Discovery Accelerators

01:09:35

09. SciFM24 Panel Discussion: Big Questions for SciFM

32:56

08. SciFM24 Payel Das: Next-generation Frameworks for AI and Science, and Trust

27:55

07. SciFM24 Sean Welleck: Scaling Laws of Formal Reasoning

19:01

05. SciFM24 Karthik Duraisamy: Charting the course for SciFMs: Themes & Questions

26:05

04. SciFM24 Venkat Viswanathan: Scaling up Materials Foundation Models

30:09

03. SciFM24 Arvind Ramanathan: Foundation Models for Enabling Rational Design of Biological Systems

01:03:14

Shy Genel: Cosmological Hydrodynamical Simulations and Machine Learning...

57:27

Michael Shields: UQ for ML and ML for UQ

46:15

MICDE DISCOVER Mini-symposium 2023 - Panel discussion

58:47

MICDE DISCOVER Mini-symposium 2023 - Dr. Katrin Heitmann