AI Expo for National Competitiveness

Conference
ALCF AI EXPO GRAPHIC

On May 7-8, 2024, the first-ever AI Expo for National Competitiveness will provide a forum for industry, government, and academic research entities to exhibit some of the latest technological breakthroughs — in AI, biotech, energy, networks, compute, microelectronics, manufacturing, augmented reality, and beyond — and discuss their implications for U.S. and allied competitiveness. 

Join us at the U.S. Department of Energy's booth (#213) to learn how Argonne and our fellow national laboratories are advancing the use of AI for scientific research. 

Catch Argonne's Valerie Taylor and Venkat Vishwanath at the following talks and demos at the DOE booth: 

  • May 7, 1:30 - 2:10 pm: Advancing Frontiers in AI for Science (Talk)
  • May 7, 4:00 - 5:00 pm: Scaling Large Language Models to Understand Protein-Protein Interactions (Demo) 
  • May 8, 3:00 - 4:00 pm: Quantum Many-Body Physics using AI (Demo)
     

Full agenda of DOE activities below.

Agenda

 Times on the agenda are in ET. 

                                     Speakers/Demos – Tuesday, May 7

Time 

Topics

Speakers

10:15-10:55 am Accelerating Scientific Discoveries with Real-Time Intelligent Sensing (Talk) Nhan Tran, FNAL
12:45 - 1:25 pm AI Applications for Nuclear Energy (Talk) Chris Ritter, INL
1:30 - 2:10 pm Advancing Frontiers in AI for Science (Talk) Valerie Taylor and Venkat Vishwanath, ANL
2:15 - 2:55 pm The National Scientific AI Landscape: Transforming National Science and Security with AI (Talk) Brian Spears, LLNL
3:00 - 3:40 pm Evaluating a Credibility Technical Basis Towards Trusted AI for High Consequence Applications (Talk) Erin Acquesta, SNL
3:45 - 4:25 pm Using the Wafer Scale Engine for High-Performance Scientific Computing (Talk) Dirk Van Essendelf, NETL
4:30 - 5:10 pm Advancing Secure, Trustworthy, and Energy-Efficient AI for Science and National Security (Talk) Prasana Balaprakash, ORNL
5:15 - 5:55 pm Advancing Secure, Trustworthy, and Energy-Efficient AI for Science and National Security (Talk) Yihui Ren, BNL
10:00 am - 2:00 pm Sidekick System: A Self-Driving Laboratory Development Environment (Demo) Abhik Sarkar, LLNL
2:00-3:00 pm  Generative AI to Improve Environmental Review and Permitting Outcomes and Efficiency (Demo) Robert Rallo, PNNL
3:00 - 4:00 pm  HydraGNN: A Scalable Graph Neural Network Architecture for Accelerated Material Discovery and Design (Demo) Max Lupo Pasini, ORNL
4:00 - 5:00 pm  Scaling Large Language Models to understand Protein-Protein Interactions (Demo) Valerie Taylor and Venkat Vishwanath, ANL
5:00 - 6:00 pm  AI and Microelectronics in Extreme Environments (Demo) Javier Campos, FNAL

                                      Speakers/Demos – Wednesday, May 8

12:00 - 12:40 pm High-Performance Computing Energy Efficiency (Talk) Wes Brewer and Woong Shin, ORNL
12:45 - 1:25 pm AI-Driven Breakthroughs in Energy Systems from Vision to Design (Talk) Justin Weber, NETL
1:30 - 2:10 pm Research at the Frontiers of AI for Science, Security, and Technology (Talk) Court Corley, PNNL
2:15 - 2:55 pm Exascale Computing, AI, and Achieving the Floating Offshore Wind Energy EarthShot (Talk) Mike Sprague, NREL
3:00 -3:40 pm Foundation AI Models for Biosecurity Research (Talk) Bin Hu, LANL
3:45 - 4:25 pm Using AI to Improve Infrastructure Permitting and Environmental Reviews (Talk) Keith Benes, DOE Office of Policy
4:30 - 5:10 pm AI for Scientific Discovery, Synthesis, and Manufacturing (Talk) Jamie Morris, AMES
5:15 - 5:55 pm  AI for High Energy Physics (Talk) Ben Nachman, LBNL
10:00 am - 1:00 pm
Sidekick System: A Self-Driving Laboratory Development Environment (Demo)
Abhik Sarkar, LLNL
1:00 - 2:00 pm  Interconnected Science Ecosystem (INTERSECT) for Scientific Workflows that Connect AI/ML, M&S, and Experimental Instruments (Demo) Ben Mintz, ORNL
2:00 - 3:00 pm Energy Data eXchange® (EDX): A Data Curation and Collaboration Test Bed for Carbon Management R&D (Demo) Kelly Rose, NETL
3:00 - 4:00 pm Quantum Many Body Physics using AI (Demo) Valerie Taylor and Venkat Vishwanath, ANL
4:00 - 5:00 pm Try to fool the AI System: Machine Assisted Anomaly Detection System (MAADS) (Demo) Anthony Garland and Kevin Potter, SNL
5:00 - 6:00 pm  Nuclear Reactor Digital Twin: Real-time Proliferation Detection with AI/ML (Demo) Kolton Heaps, INL

                                      Virtual Reality – Tuesday, May 7 and Wednesday, May 8

12:00 -6:00 pm JARVIS: Interacting with LLMs in VR Danny Gomez, SNL
12:00 -6:00 pm A Collaborative Environment for Analysis of Digital Twins in Additive Manufacturing Haichao Miao, LLNL

                                      Panel Discussions  –  Wednesday, May 8

10:00 am - 12:00 pm Why does DOE need to build AI capabilities for its mission in science, energy technology, and national security? How has “big science” delivered valuable solutions for the public good?  Ceren Susut-Bennett, DOE ASCR; Thuc Hoang, DOE NNSA; Ian Foster, ANL; Brian Spears, LLNL; Jason Pruet, LANL; Tanya Das, Bipartisan Policy Center (moderator) 
10:00 am - 12:00 pm How will the public good benefit from private-public collaboration on science? What are examples of impactful public-private technology collaboration in the DOE mission space for the broad benefit of the public? Mark Guiton, HPE; Jack Wells, NVIDIA; Lane Dilg, OpenAI; Andy Hock, Cerebras Systems; Helena Fu, DOE (moderator)