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Accelerated AI Algorithms for Data-Driven Discovery Institute (A3D3)
Past Events
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Accelerating Discovery in Particle Physics with Anomaly Detection: Gregor Kasieczka, Universität Hamburg -
June 10, 2024
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The Real AI Revolution in Astronomy Hasn't Happened Yet: Joshua Bloom, University of California, Berkeley -
May 13, 2024
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Enabling big neuroscience through computational advances: Adam Charles, Johns Hopkins University -
April 8, 2024
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Is machine learning good or bad for astrophysics? : David Hogg, New York University -
March 11, 2024
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AI models of population dynamics precisely link state space trajectories with behavior in the mammalian spinal cord: Chethan Pandarinath, Emory University & Georgia Tech -
February 12, 2024
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Fast in Slow: AI in Rare Event Search: Aobo Li, UCSD -
December 11, 2023
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Polymathic AI: Foundation Models for Science: Miles Cranmer, University of Cambridge -
November 13, 2023
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A3D3 High-Throughput AI Methods and Infrastructure Workshop -
July 10, 2023 to July 14, 2023
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Next-Generation Event Filtering at LHC: Leveraging Real-Time ML for Handling Massive LHC Data Streams: Thea Aarrestad, ETH Zürich -
June 12, 2023
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Real-time modeling with active interventions: Anne Draelos, University of Michigan -
May 15, 2023
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Challenges and Opportunities for Optical Neural Network: Arka Majumdar, University of Washington -
May 1, 2023
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Closing the Virtuous Cycle of AI for IC and IC for AI: David Z. Pan, University of Texas at Austin -
November 7, 2022
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Distributed coding of vision, action, and cognition in the mouse brain: Nick Steinmetz, University of Washington & International Brain Lab -
October 24, 2022
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Machine Learning in IceCube -
September 12, 2022
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Towards Online Anomaly Detection for Particle Physics: Ben Nachman, LBNL -
August 8, 2022
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Rapid and robust parameter estimation for gravitational wave observations: Jonathan Gair, Max Planck Institute for Gravitational Physics -
July 11, 2022
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Machine Learning for Fundamental Physics Discovery with High Resolution Particle Imaging Detectors: Georgia Karagiorgi, Columbia University -
June 6, 2022
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A Pursuit of Efficient and Accurate Binary Neural Networks: Zhiru Zhang, Cornell University -
May 2, 2022
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Understand The Brain Using Interpretable Machine Learning Models: Anqi Wu, Georgia Institute of Technology -
April 4, 2022
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Time-domain Astrophysics in the Era of Big Data : Ashley Villar, Pennsylvania State University -
March 7, 2022
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A3D3: Accelerating Simulation-based Inference : Kyle Cranmer (New York University) -
February 7, 2022