Argonne: Driving the Future of AI in Science at TPC26
Argonne researchers lead engagement in how AI is reshaping scientific discovery at Trillion Parameter Consortium conference.
June 1, 2026 — The U.S. Department of Energy’s (DOE) Argonne National Laboratory will play a leading role in this year’s meeting of the Trillion Parameter Consortium (TPC), to be held in Baltimore, Maryland, from May 31 to June 3. This community-driven, open initiative will bring together several hundred researchers, practitioners, educators and vendors to share expertise, tools and workflows in AI and high-performance computing — with the aim of encouraging collaborations, establishing best practices and harnessing AI potential for transforming scientific discovery and engineering. Argonne is participating in this year’s events through plenary addresses, panel discussions and tutorials.
Collaborating Across Institutions
Currently, TPC has more than 100 participating member organizations representing over800 active participants. These organizations span national laboratories, tech companies and universities globally. Members work together to build and optimize massive-scale AI models for critical fields. Rick Stevens, associate laboratory director for Computing, Environment and Life Sciences at Argonne, will open the TPC26 plenary sessions by moderating a panel on “Strategies for International Collaboration Among National and Regional Initiatives.” Joining the panel discussion will be leaders from the U.S. Department of Energy, the National Science Foundation and RIKEN. Later in the week Arvind Ramanathan, a computational biologist in Argonne’s Data Science and Learning division,will participate in another panel discussion with leaders from industry and RIKEN on “Reports from the Field: TPC Collaborations.”
Building Autonomous Agents
Autonomous AI agents are transforming how scientists work. While generative AI can answer queries and respond to human prompts, agentic AI is proactive, offering the potential to carry out tasks autonomously. Rick Stevens will present a keynote address on “Agentic Science and the Genesis Mission” — a major initiative by DOE to transform American science and innovation through the power of AI. Ian Foster, director of Argonne’s Data Science and Learning division, will give a presentation on “Scaling from Parameters to Processes: Why Agents Matter for Trillion-Parameter AI.” And Franck Cappello, Argonne senior computer Scientist in Argonne’s Mathematics and Computer Science division, will discuss “AI-Based Scientific Hypothesis Generation.”
Exploring the Frontier
Frontier models mark the extreme cutting edge of AI research. Trained on massive amounts of data, they serve as testing ground for advanced reasoning. Agentic systems use frontier models to handle complex reasoning and planning tasks. Valerie Taylor, director of the Mathematics and Computer Science division at Argonne, will discuss“Emerging Scientific Drivers for Frontier AI.” These drivers come from diverse disciplines — for example, materials science, Earth systems and cosmology — and require that the frontier models follow constraints specific to their individual fields.
Putting Skills into Practice
TPC emphasizes designing, building and — ultimately — utilizing AI. Argonne staff will lead two hands-on tutorials at TPC26 intended to bridge the gap between theory and practice. Four MCS scientists — Franck Cappello, Sandeep Madireddy, Neil Getty and Robert Underwood — will focus on best practices for evaluating AI model reasoning skills for science applications. Ian Foster will co-present a tutorial introducing participants to the design, deployment, and management of scalable agentic systems for scientific discovery. The tutorial will include a presentation of Academy, a Python-based middleware platform built to support agentic workflows across heterogeneous research environments.
Want to learn more? See all of Argonne’s TPC26 talks here.
About Argonne National Laboratory
Argonne National Laboratory seeks solutions to pressing national problems in science and technology by conducting leading-edge basic and applied research in virtually every scientific discipline. Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.
Source: ANL
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