When the Trillion Parameter Consortium holds its 2025 all‑palms convention and exhibition, TPC25, in San Jose on July 28–31, computational scientists, system architects, coverage leaders, and AI stakeholders from analysis, business, and authorities will deal with one query: how can trillion‑parameter frontier fashions be constructed, shared, and ruled for on a regular basis science?
Over three days, TPC25 attendees will dive into tutorials on constructing brokers and a palms‑on hackathon. Plenary audio system comparable to Argonne’s Rick Stevens and RIKEN’s Satoshi Matsuoka will define scientific AI priorities, whereas 30 breakout periods will vary from LLMs for most cancers analysis to enhancing power effectivity in supercomputing. The consequence guarantees to be half workshop, half technique summit, and an early take a look at how open, frontier‑scale AI could reshape science within the subsequent decade.
Agentic Tutorials and Hackathon
Organizers have framed this system round three easy targets: increase the contributor neighborhood by means of tutorials and a hackathon, provide a wider view in a collection of plenary talks, and preview and create initiatives throughout a slate of breakout periods.
For the primary day and a half, there shall be tutorials and hackathons to convey extra palms on deck within the pursuits of constructing frontier AI extra accessible for researchers. Operating in parallel with the tutorials, the hackathon will pair newcomers with skilled builders in groups of three. Every group will construct a easy agent inside an agentic framework, comparable to a DOI lookup bot or a light-weight internet search helper. This setup will guarantee a wholesome mixture of talent ranges that organizers hope will spark peer studying.
The deal with brokers displays how agentic workflows have gotten commonplace in science by means of platforms comparable to Microsoft Uncover, OpenAI’s Deep Analysis, and Google DeepMind’s AI co-scientist. By the top of the session, members ought to depart with sensible expertise they will apply to their very own analysis.
Plenary Highlights: Leaders Map the Highway Forward
The plenary periods will provide a bigger view of the priorities of the worldwide analysis computing neighborhood. Rick Stevens, affiliate laboratory director at Argonne and an AIwire Particular person to Watch, will open the plenary collection with “Reinventing Discovery: Accelerating Science within the Age of Synthetic Tremendous‑Intelligence.” Stevens will focus on how frontier‑scale fashions have moved past present as activity‑particular AI instruments to serving to form scientific questions and strategies. In his opening discuss, he’ll hint how fast positive aspects in speculation era, simulation, and information interpretation now conflict with slower steps comparable to chemistry, fabrication, and area work. Borrowing from Amdahl’s Regulation, he’ll define the problem as a rethink of the complete analysis workflow somewhat than a single leap in compute. Stevens may also deal with sensible questions: how you can set targets that mirror human priorities, preserve outcomes reliable when artificial information is used, and resolve which duties nonetheless require human experience. He plans to shut with concrete actions the neighborhood can take to navigate this new panorama collectively.
AI researchers like Rick Stevens, Satoshi Matsuoka, and Charlie Catlett shall be collaborating in TPC25. (Supply: TPC25)
Thierry Pellegrino of AWS will make the case for hybrid HPC, or linking on‑premises programs with cloud capability, as the sensible path ahead. His discuss will present how AI instruments, classical simulations, and early quantum sources can share one workflow, drawing transient examples from climate prediction, computational fluid dynamics, and molecular modeling which have sped up compute jobs with out extra spending.
Satoshi Matsuoka, director of RIKEN’s Middle for Computational Science, will define what nonetheless stands between giant language fashions and on a regular basis scientific work. Drawing on RIKEN’s AI4Science program and up to date runs on the Fugaku and Frontier supercomputers, he’ll focus on strategies for dealing with multi‑terabyte information, pairing neural surrogates with physics solvers, and spreading workflows throughout CPU, GPU, and early quantum {hardware}. Early ends in local weather modeling, 3‑D imaging, and supplies discovery present as much as 6.9x velocity‑ups, and Matsuoka will shut by flagging open questions round provenance and human oversight for petascale-and-beyond ML stacks.
Different plenaries will look at technical and moral issues as AI strikes deeper into science. Ian Foster of Argonne will define an “AI‑native discovery platform” that marries trillion‑parameter fashions to simulations, information graphs, and autonomous labs. Ricardo Baeza‑Yates of the Barcelona Supercomputing Middle will provide a survey of irresponsible AI within the type of bias and disinformation earlier than mapping the governance and regulatory instruments meant to curb it. Microsoft’s Preeth Chengappa will ask who holds company when AI brokers turn into ubiquitous, and what meaning for possession and management of outcomes. Karthik Duraisamy (College of Michigan) will define a proposed “energetic inference” structure, a layered system that pairs fashions able to counterfactual reasoning with steady actual‑world validation, to shut three cussed divides in analysis AI: the abstraction hole, the reasoning hole, and the truth hole.
Collectively, plenary periods like these and the many others deliberate for TPC will assist attendees consider the successes and challenges of frontier‑scale AI in scientific follow.
Breakout Tracks: Turning Concepts into Working Teams in BoF Classes and Lightning Talks
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The third aim of TPC25 is to drive targeted collaboration by means of afternoon breakout periods. There are 30 breakout slots unfold throughout six rooms and 5 time blocks. Most periods will observe a working‑group format: 90‑minute blocks that open with 4 to 6 lightning talks and depart time for targeted dialogue. Some tracks span a number of blocks, giving observe‑up periods room to refine concepts.
Birds‑of‑a‑Feather meetups will run in parallel. Subject tracks cowl each instant analysis wants and long-term infrastructure questions. Area science goes deep within the Life Sciences lane, the place three periods look at AI for most cancers, agentic bio workflows, and basis fashions for biology. Lightning talks will focus on matters like peptide‑binder design, genome‑scale language fashions, and precision‑well being pipelines. Different periods will deal with power effectivity for AI at supercomputing websites and plans for a basis mannequin that represents {the electrical}‑grid distribution system. Organizers anticipate a number of of those casual meetups to mature into full TPC working teams as soon as the assembly concludes.
Why TPC25 Issues for AI‑Pushed Science
With sensible periods, plenary talks, and breakouts that would flip concepts into prototypes, TPC25 will present a transparent take a look at frontier AI for science and the folks guiding its future. Tutorials and the hackathon will assist attendees achieve new abilities, whereas plenary talks will define AI’s affect on analysis. Birds of a Feather conferences and lightning talks will give initiatives the momentum they should advance. For researchers, system builders, and anybody following AI’s impression on science, the San Jose gathering shouldn’t be missed.
To see an agenda and study extra in regards to the Trillion Parameter Consortium and TPC25, go to https://tpc25.org and register at https://tpc25.org/register.
