Director, Northwestern University / Argonne Lab Institute for Science and Engineering at Argonne National Laboratory. US.
“Honey, I shrunk the AI“
Abstract
The world is excited about conversational AI, hallucinations, and deep fakes. It seems we are all AI curious. While most of our attention has been focused on capable multimodal large language models that include text, image, and audio data, there are scientists exploring the small… the AI that can be squeezed, shrunk, and crammed into ever smaller scientific instruments and devices. As companies continue to spend hundreds of millions of dollars training the largest models, how will scientists explore the tiny, AI models that can fit in a microscope, an audio recorder, or a cloud camera? While the largest supercomputers on the planet are exciting, like the All Blacks beating Australia, it is the other end of the computing continuum that might transform how we instrument and study the impacts of climate change on our planet. The National Science Foundation (NSF) has funded several projects to build national cyberinfrastructure, open for all scientists, to explore the AI-enabled computing continuum. The Sage (sagecontinuum.org) infrastructure allows scientists to deploy AI algorithms to the edge (AI@Edge). The infrastructure allows computer scientists to explore AI approaches such as federated learning and self supervised learning as well as bi-directional interactions between instruments and computation. The Sage cyberinfrastructure is now part of the NSF pilot program building a National AI Research Resource (NAIRR) for scientists across the nation. Sage testbeds have been deployed in California, Montana, Colorado, and Kansas, in the National Ecological Observatory Network, and in urban environments in Illinois and Texas. These resources provide opportunities for scientists (both in computer science and other domains) to explore the computing continuum, from the smallest of AI to the largest. This talk will explore AI in the small connected to AI in the large — the computing continuum for scientific discovery.
Bio
Pete Beckman is a recognized global expert in high-end computing systems and an Argonne Distinguished Fellow. He co-directs the Northwestern University / Argonne Institute for Science and Engineering, and coordinates the collaborative technical research activities in extreme-scale computing between the U.S. Department of Energy and Japan’s ministry of education, science, and technology. Beckman’s expertise encompasses software and architectures for large-scale parallel and distributed computing systems. Beckman leads the Argo project focused on low-level resource management for the operating system and runtime, he is a co-founder of Argonne’s Waggle project for artificial intelligence (AI) and edge computing, and leads the Sage project and a NAIRR Pilot funded by the National Science Foundation to build a nationwide infrastructure for AI at the edge.
Video 2024
Speaker Experience Interview Video 2024
Pete is a returning speaker. Please refer to his 2023 talk “A Disturbance in the Continuum”.
BONUS – 2024 Panel 1 Slides on Data Sovereignty/Open Data.
multicore.world 