The National Science Foundation (NSF), under the Harnessing the Data Revolution (HDR) program, is providing funding to establish the Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute, a multi-disciplinary and geographically distributed entity with the primary mission to lead a paradigm shift in the application of real-time artificial intelligence (AI) at scale to advance scientific knowledge and accelerate discovery. The Institute team reflects a collaborative effort of Principal Investigators from Caltech, Duke University, MIT, Purdue University, UC San Diego, University of Illinois at Urbana-Champaign, University of Minnesota, University of Washington, and University of Wisconsin-Madison.
A3D3 aims to construct the knowledge essential for real-time applications of artificial intelligence in three fields of science: high energy physics, multi-messenger astrophysics and systems neuroscience. The institute aims to develop customized AI solutions to process large datasets in real time, significantly enhancing the potential for discovery.
Hardware and Algorithm Codevelopment
Domain scientists will work closely with AI and hardware experts to create and apply ecient algorithms that are the most e↵ective in exploiting structured scientific data and hardware-AI co-design.
Our ultimate goal is to deploy a fully functional heterogeneous AI accelerated High Level Ttrigger systems for the LHC experiments.
We aim on engaging community to work with the low-latency infrastructures in order to enable the study of objects previously inaccessible to AI-based studies.
We aim to develop, test, and disseminate AI methods that are high-throughput and low-latency to enable significant advances in our understanding of brain function.
This project is supported by the National Science Foundation under Cooperative Agreement" OAC-2117997. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.