Argonne’s AI Distinguished Lecture Series feature pioneers and innovators from around the world conducting research in foundational and applied AI. The lectures cover a wide variety of topics in academia, industry, finance and technology.
Past Speakers
2023
Dr. Cora Dvorkin
Associate Professor in the Department of Physics at Harvard
Presented on February 23, 2023
2022
Professor Rafael Gomez-Bombarelli
Jeffrey Cheah Career Development Professor at MIT’s Department of Materials Science and Engineering
Presented on November 10, 2022
Professor Dan Negrut
Bernard A. and Frances M. Weideman Professor of Mechanical Engineering, University of Wisconsin-Madison
Presented on October 13, 2022
Professor Dorsa Sadigh
Assistant Professor in Computer Science and Electrical Engineering, Stanford University
Presented on October 6, 2022
Dr. Mikel Rodriguez
Director of The Artificial Intelligence and Autonomy Innovation Center at MITRE Labs
Presented on August 18, 2022
Professor Julia Stoyanovich
Institute Associate Professor of Computer Science & Engineering at the Tandon School of Engineering, Associate Professor of Data Science at the Center for Data Science, and Director of the Center for Responsible AI at New York University (NYU)
Presented on July 21, 2022
Professor Virginia Smith
Assistant Professor in the Machine Learning Department at Carnegie Mellon University
Presented on June 23, 2022
Professor Catherine (Katie) Schuman
Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee
Presented on June 9, 2022
Professor Shaowen Wang
Professor and Department Head, Department of Geography and Geographic Information Science
Director, NSF Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE)
Presented on April 28, 2022
Professor Bo Li
Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign
Presented on April 14, 2022
Jack Hidary, Technology Researcher and Entrepreneur
Sandbox @ Alphabet – AI and Physics; Hidary Foundation
Presented on March 31, 2022
Professor Martin Wattenberg
Gordon McKay Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences
Presented on March 10, 2022
Professor Kaushik Roy
Edward G. Tiedemann, Jr., Distinguished Professor of Electrical and Computer Engineering at Purdue University
Presented on February 10, 2022
Professor Rohit Bhargava
Founder Professor in Bioengineering at University of Illinois at Urbana-Champaign
Presented on January 27, 2022
Professor Dan Roth
Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania
Presented on January 13, 2022
2021
Professor Risi Kondor
Associate Professor in the Department of Computer Science at the University of Chicago
Presented on December 9, 2021
Professor Anima Anandkumar
Bren Professor at Caltech and Director of ML Research at NVIDIA
Presented on November 4, 2021
Professor Michael Carbin
Associate Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology
Presented on October 14, 2021
Dr. Zhizhen (Jane) Zhao
University of Illinois at Urbana-Champaign
Presented on September 30, 2021
Professor Jonathan Rowe
DPVC and Professor of Natural Computation, The University of Birmingham Programme Director, “Data Science for Science and Humanities”, The Alan Turing Institute
Presented on August 26, 2021
Dr. Javier Duarte
Assistant Professor, Physics, University of California San Diego
Presented on August 12, 2021
Professor Alex Schwing
Assistant Professor, University of Illinois at Urbana-Champaign
Presented on July 29, 2021
Dr. Jinjun Xiong
Senior Researcher and Program Director for AI and Hybrid Clouds Systems at the IBM Thomas J. Watson Research Center
Presented on July 1, 2021
SEMINAR SCHEDULE
Past
2023
23 February 2023
Mining Cosmological Data: Looking for Physics Beyond the Standard Model
Speaker: Dr. Cora Dvorkin, Associate Professor in the Department of Physics at Harvard
2022
10 November 2022
Active Learning of Neural Network Interatomic Potentials with Differentiable Uncertainty
Speaker: Professor Rafael Gomez-Bombarelli is the Jeffrey Cheah Career Development Professor at MIT’s Department of Materials Science and Engineering
13 October 2022
Using Simulation to Design Robots and Autonomous Vehicles
Speaker: Professor Dan Negrut, Bernard A. and Frances M. Weideman Professor of Mechanical Engineering at the University of Wisconsin-Madison
6 October 2022
Learning and Influencing for Interactive Robotics
Speaker: Professor Dorsa Sadigh, Assistant Professor in Computer Science and Electrical Engineering at Stanford University
18 August 2022
AI Assurance: Challenges and Opportunities
Speaker: Dr. Mikel Rodriguez, Director of The Artificial Intelligence and Autonomy Innovation Center at MITRE Labs
21 July 2022
Building Data Equity Systems
Speaker: Professor Julia Stoyanovich, Institute Associate Professor of Computer Science & Engineering at the Tandon School of Engineering, Associate Professor of Data Science at the Center for Data Science, and Director of the Center for Responsible AI at New York University (NYU)
23 June 2022
Privacy Meets Heterogeneity
Speaker: Professor Virginia Smith, Assistant Professor in the Machine Learning Department at Carnegie Mellon University
9 June 2022
Evolutionary Optimization for Neuromorphic Systems
Speaker: Professor Catherine (Katie) Schuman, Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee
28 Apr 2022
CyberGIS and Geospatial Artificial Intelligence
Speaker: Professor and Department Head, Department of Geography and Geographic Information Science; Director, NSF Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE)
14 Apr 2022
Trustworthy Machine Learning via Logic Inference
Speaker: Professor Bo Li, Assistant Professor, Department of Computer Science, University of Illinois at Urbana-Champaign
31 Mar 2022
AQ – the exponential power of AI + Quantum
Speaker: Jack Hidary, Technology Researcher and Entrepreneur, Sandbox @ Alphabet – AI and Physics; Hidary Foundation
10 Mar 2022
Different Ways of Knowing AI
Speaker: Professor Martin Wattenberg, Gordon McKay Professor of Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences
10 Feb 2022
Re-engineering computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices
Speaker: Professor Kaushik Roy, Edward G. Tiedemann, Jr., Distinguished Professor of Electrical and Computer Engineering at Purdue University
27 Jan 2022
Chemical Imaging: Microscopy, without Labels, Powered by AI
Speaker: Professor Rohit Bhargava, Founder Professor in Bioengineering at University of Illinois at Urbana-Champaign
13 Jan 2022
It’s Time for Reasoning
Speaker: Professor Dan Roth, Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania
2021
9 Dec 2021
Equivariant Neural Networks for Modeling Physical Interactions: Curve Fitting or a New Way of Understanding Nature?
Speaker: Professor Risi Kondor, Associate Professor in the Department of Computer Science at the University of Chicago
4 Nov 2021
Convergence of AI, Simulations and HPC
Speaker: Professor Anima Anandkumar, Bren Professor at Caltech and Director of ML Research at NVIDIA
14 Oct 2021
Engineering Uncertain Computations
Speaker: Professor Michael Carbin, Associate Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology
30 Sept 2021
Machine learning and inverse problems in scientific imaging
Speaker: Dr. Zhizhen (Jane) Zhao, University of Illinois at Urbana-Champaign
26 Aug 2021
AI for Science and Humanities research at The Alan Turing Institute
Speaker: Professor Jon Rowe, DPVC and Professor of Natural Computation, The University of Birmingham Programme Director, “Data Science for Science and Humanities”, The Alan Turing Institute
12 Aug 2021
AI at the Edge of Particle Physics
Speaker: Dr. Javier Duarte, University of California San Diego
29 July 2021
Beyond Present-day Personalization: Learning to Anticipate
Speaker: Professor Alex Schwing, University of Illinois at Urbana-Champaign
1 July 2021
A Statistical Distribution-based Deep Neural Network Model – a new perspective on effective learning
Speaker: Dr. Jinjun Xiong, IBM Thomas J. Watson Research Center