Accelerated AI Algorithms for Data-Driven Discovery

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.

Our Research

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 Co-development

Developing AI methods to encode non-lattice-structured data is one main challenge in current AI systems.

High Energy Physics

Build tools to process LHC collisions occurring 40 million times per second data in real-time using AI.

Systems Neuroscience

Discover the computations that brain-wide neural networks perform to process sensory and motor information during behavior by using high-throughput and low-latency AI algorithms to process.

Heterogenous systems

Study a mixture of hardware resources like CPU, GPU and FPGA required for ML science pipelines.

Multi-messenger Astrophysics

Process the data from telescopes, neutrino detectors, and gravitational-wave detectors to identify astronomical events corresponding to the most violent phenomena in the Cosmos.

Targeted systems

Develop common tools for deploying ML algorithms in dedicated science experiment systems implemented in FPGAs and ASICs.

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Team

We lead the paradigm shift of AI

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.