TPC26 Agenda Plenaries - The Trillion Parameter Consortium

Plenaries Agenda

Monday, June 1

12:30

Lunch

14:00

Opening Plenary Session

TPC Vision

Reshaping Discovery: AI, the Genesis Mission, and a New Era for Science

Dario Gil, Under Secretary for Science, Department of Energy

Accelerating Discovery and Innovation through the National AI Research Resource (NAIRR)

Katie Antypas, Senior Advisor for Cyberinfrastructure, US National Science Foundation

Strategies for International Collaboration Among National and Regional Initiatives

Moderator: Debra Goldfarb, Amazon Web Services

Dario Gil, Department of Energy
Katie Antypas, US National Science Foundation
Rick Stevens, Argonne National Laboratory
Satoshi Matsuoka, RIKEN R-CCS
Per Öster, CSC – IT Center for Science

16:00

Break

16:30

Plenary Session 2

Industry / Lab / Academia

Agentic Science and the DOE Genesis Mission

Rick Stevens, Associate Laboratory Director – CELS and Argonne Distinguished Fellow, Argonne National Laboratory | Professor of Computer Science, The University of Chicago

The Game-Changing Aspects of AI for Science Onto HPC

Satoshi Matsuoka, Director, RIKEN R-CCS

The Next HPC: Supercompute, Learn, Entangle – Scientific Discovery Without Boundaries

Thierry Pellegrino, Global Head of Advanced Computing, Amazon Web Services

From Exascale to Genesis Mission: Building the Systems That Will Shape Scientific Discovery

Thomas Zacharia, Senior Vice President, Strategic Technical Partnership and Public Policy, AMD

Tuesday, June 2

8:30

Plenary Session 3

Frontier Models and Systems

Olmo, Molmo, and Open Multimodal AI Infrastructure to Accelerate Science

Noah A. Smith, Vice Provost for AI, Charles and Lisa Simonyi Endowed Chair for Artificial Intelligence and Emerging Technologies, and Professor, Paul G. Allen School of Computer Science & Engineering, University of Washington

The Blue Swan AI Gigafactory: Challenges and Potential

Dieter Kranzlmüller, Chairman of the Board of the Leibniz Supercomputing Centre (LRZ) | Full professor, Ludwig-Maximilians-University Munich (LMU)

Scaling from Parameters to Processes: Why Agents Matter for Trillion-Parameter AI

Ian Foster, Data Science and Learning Division Director, Argonne National Laboratory

Building Open Japanese LLMs: From Language-Specific Foundations to Compute-Efficient Reasoning

Rio Yokota, Professor, Institute of Science Tokyo | Team Principal, RIKEN Center for Computational Science

10:30

Break

11:00

Plenary Session 4

Workforce and Emerging Leaders

Emerging Scientific Drivers for Frontier AI

Valerie Taylor, Director, Mathematics and Computer Science Division, Argonne National Laboratory

Educating the Next Generation of Scientists in the Age of AI

Karthik Duraisamy, Professor of Aerospace Engineering, and Director, Michigan Institute for Computational Discovery and Engineering, University of Michigan

Foundation Models for Discovery and Exploration in Chemical Space

Anoushka Bhutani, PhD Student, Mechanical Engineering and Scientific Computing, University of Michigan

Artificial Hivemind: The Open-Ended Homogeneity of Language Models and Beyond

Liwei Jiang, PhD Student, Paul G. Allen School of Computer Science & Engineering, University of Washington

12:30

Lunch and Panel Discussion

Industry and Government AI Collaboration: Successful Approaches and Pitfalls to Avoid

Moderator: Earl Joseph, CEO, Hyperion Research

Hal Finkel, U.S. Department of Energy
William Magro, Google Cloud
Molly Presley, Hammerspace
Samantika Sury, HPE

14:00

Breakout Sessions

15:30

Break

16:00

Breakout Sessions

Wednesday, June 3

8:30

Breakout Sessions

10:30

Break

11:00

Breakout Sessions

12:30

Lunch and Panel Discussion

Scientific Advancement Through TPC Collaboration

Moderator: Addison Snell, Co-Founder & Chief Executive Officer, Intersect360 Research

Nicholas Chia, Computational Biologist, Argonne National LaboratoryLaboratory
Eliott Jacopen, RIKEN R-CCS
Christine Sweeny, Los Alamos National Laboratory
Rio Yokota, Institute of Science Tokyo

14:00

Breakout Sessions

15:30

Break

16:00

Plenary Session 5

TPC Collaborative Initiatives

AI-Based Scientific Hypothesis Generation

Franck Cappello, R&D Lead, Senior Computer Scientist, Argonne National Laboratory

Inference Services at the NSF Leadership Class Computing Facility

Dan Stanzione, Executive Director, Texas Advanced Computing Center (TACC) | Associate Vice President for Research, UT-Austin

TPC26 Wrap-Up and Roadmap

Charlie Catlett, Executive Director, Trillion Parameter Consortium

Plenaries and Breakouts

are open to all conference attendees.

Tutorials

are open to all conference attendees, for an additional fee.

Hackathons

are open to TPC members and invited guests.

Exhibition Area

is open to all, June 1-2. For information on getting a table,

Plenaries Agenda

Monday, June 1

12:30

Lunch

14:00

Opening Plenary Session

TPC Vision

Reshaping Discovery: AI, the Genesis Mission, and a New Era for Science

Accelerating Discovery and Innovation through the National AI Research Resource (NAIRR)

Strategies for International Collaboration Among National and Regional Initiatives

16:00

Break

16:30

Plenary Session 2

Industry / Lab / Academia

Agentic Science and the DOE Genesis Mission

The Game-Changing Aspects of AI for Science Onto HPC

The Next HPC: Supercompute, Learn, Entangle – Scientific Discovery Without Boundaries

From Exascale to Genesis Mission: Building the Systems That Will Shape Scientific Discovery

Tuesday, June 2

8:30

Plenary Session 3

Frontier Models and Systems

Olmo, Molmo, and Open Multimodal AI Infrastructure to Accelerate Science

The Blue Swan AI Gigafactory: Challenges and Potential

Scaling from Parameters to Processes: Why Agents Matter for Trillion-Parameter AI

Building Open Japanese LLMs: From Language-Specific Foundations to Compute-Efficient Reasoning

10:30

Break

11:00

Plenary Session 4

Workforce and Emerging Leaders

Emerging Scientific Drivers for Frontier AI

Educating the Next Generation of Scientists in the Age of AI

Foundation Models for Discovery and Exploration in Chemical Space

Artificial Hivemind: The Open-Ended Homogeneity of Language Models and Beyond

12:30

Lunch and Panel Discussion

Industry and Government AI Collaboration: Successful Approaches and Pitfalls to Avoid

14:00

Breakout Sessions

15:30

Break

16:00

Breakout Sessions

Wednesday, June 3

8:30

Breakout Sessions

10:30

Break

11:00

Breakout Sessions

12:30

Lunch and Panel Discussion

Scientific Advancement Through TPC Collaboration

14:00

Breakout Sessions

15:30

Break

16:00

Plenary Session 5

TPC Collaborative Initiatives

AI-Based Scientific Hypothesis Generation

Inference Services at the NSF Leadership Class Computing Facility

TPC26 Wrap-Up and Roadmap

Plenaries and Breakouts

Tutorials

Hackathons

Exhibition Area

Countdown to

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