News & Events

Marc Raibert (The AI Institute) November 21, 2024

Dynamic Robots Today and Tomorrow

Larry Zitnick (Meta, Inc.) November 14, 2024

The Frontiers of Modeling Atoms with AI

Jason Ansel (Meta AI) November 7, 2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation

Persi Diaconis (Stanford University) November 1, 2024

The Value (and Pitfalls) of Proof

Jitendra Malik (UC Berkeley + Meta Inc.) October 31, 2024

Robot Learning, with inspiration from child development

Ryan Williams (MIT CSAIL) October 24, 2024

A Dogged Pursuit For Satisfaction

Andrew Owens (University of Michigan) October 18, 2024

Generating Multi-View Visual Illusions

Emily Mower Provost (University of Michigan) October 10, 2024

From Speech to Emotion to Mood: Mental Health Modeling in Natural Environments

Noam Brown (OpenAI) May 23, 2024

Parables on the Power of Planning in AI: From Poker to Diplomacy

Richard Ladner (Paul G. Allen School of Computer Science & Engineering) May 9, 2024

The Impact of AccessComputing

Banghua Zhu (UC Berkeley) April 9, 2024

Towards Principled Post-Training of Large Language Models

Lianmin Zheng (UC Berkeley) April 8, 2024

Scalable and Efficient Systems for Large Language Models

Emily Aiken (UC Berkeley) April 2, 2024

Targeting humanitarian aid with machine learning and digital data

Zhijian Liu (MIT) April 1, 2024

Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications

Emma Dauterman (UC Berkeley) March 28, 2024

Secure systems from insecure components

Rachit Nigam (Cornell University) March 25, 2024

Modular Abstractions for Hardware Design

Yilun Du (MIT) March 14, 2024

Generalizing Outside the Training Distribution through Compositional Generation

Manoel Ribeiro (EPFL) March 7, 2024

Content Curation in Online Platforms

Xupeng Miao (Carnegie Mellon University) March 5, 2024

Architecture-Tailored Parallelization for Accessible Large Model Era

Andres Erbsen (MIT) March 4, 2024

Proof-driven Development of Production-quality Cryptographic Software

Sagar Karandikar (UC Berkeley) February 27, 2024

Catch M(oor)e If You Can: Agile Hardware/Software Co-Design for Hyperscale Cloud Systems

Will Chapman () February 20, 2024

Advancing Weather and Climate Prediction with Data Driven Methods

Makoto Kelp (Stanford University) February 15, 2024

A Data-Driven Future for Atmospheric Chemistry, Wildfires, Climate, and Society

Serina Chang (Stanford University) February 13, 2024

Computational methods for human networks and high-stakes decisions

Kyunghyun Cho (New York University | Genentech) February 8, 2024

Beyond Test Accuracies for Studying Deep Neural Networks

Qindan Zhu (MIT) February 7, 2024

The Radical Solution: Machine Learning and the Hydroxyl Radical for Air Quality and Climate

Emily Gordon (Stanford University) February 5, 2024

Interpretable machine learning approaches for identifying and understanding predictable multi-year climate variability

Joshua Miele (Amazon Lab126 | UC Berkeley) February 1, 2024

Accessibility in the Open – Driving global disability equity through open source

Drago Anguelov (Waymo) January 25, 2024

Toward Total Scene Understanding for Autonomous Driving

Fei-Fei Li (Stanford University) January 18, 2024

What we see and what we value: AI with a human perspective

Various Presenters (Allen School) January 11, 2024

NLP Research Lab

Martin Tompa (Emeritus, Allen School) January 4, 2024

Valedictory: Who Am I?

Various Presenters (Allen School) December 7, 2023

MISL Research Lab

Liang Huang (Oregon State University | Coderna.ai) November 30, 2023

Language AI for RNA Virus and RNA Vaccine

Bill Dally (NVIDIA) November 9, 2023

Trends in Deep Learning Hardware

Various Presenters (Allen School) November 2, 2023

Accessibility Research Lab

Various Presenters (Allen School) October 26, 2023

GRAIL Research Lab

Byron Cook (Amazon | AWS) October 12, 2023

On making mathematic proof a business

Dan Weld (Emeritus, Allen School | Allen Institute for Artificial Intelligence) October 5, 2023

Intelligence Augmentation: Effective Human-AI Interaction to Supercharge Scientific Research

Roy Want (Google) July 18, 2023

Next Generation Wi-Fi Positioning: An overview of the IEEE 802.11az protocol

Pat Hanrahan (Stanford University) May 16, 2023

Shading Languages and the Emergence of Programmable Graphics Systems

Sébastien Bubeck (Microsoft Research) April 25, 2023

First Contact

Alexander Rives (Meta) April 20, 2023

Evolutionary scale language models

Kawin Ethayarajh (Stanford University) April 18, 2023

From In Vitro to In Vivo AI Evaluation

Danijar Hafner (University of Toronto) April 17, 2023

Embodied Intelligence Through World Models

Stephanie Wang (UC Berkeley) April 13, 2023

The Design of a General-Purpose Distributed Execution System

Ben Eysenbach (Carnegie Mellon University) April 11, 2023

Self-Supervised Reinforcement Learning

Pavel Izmailov (New York University) April 4, 2023

Deconstructing models and methods in deep learning

Mitchell Gordon (Stanford University) April 3, 2023

Human-AI Interaction Under Societal Disagreement

Thierry Tambe (Harvard University) March 30, 2023

Architecting High Performance Silicon Systems for Accurate and Efficient On-Chip Deep Learning

Sunoo Park (Columbia University) March 30, 2023

Cryptography, Security, and Law

Peter Lee (Microsoft Research & Incubations) March 28, 2023

The Emergence of General AI for Medicine

Eugene Bagdasaryan (Cornell University) March 27, 2023

(Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy

Kelsey Allen (Deep Mind) March 16, 2023

Flexible physical problem-solving in minds and machines

Emily Wenger (University of Chicago) March 9, 2023

Towards Secure and Regulated Machine Learning Systems

Nirvan Tyagi (Cornell University) March 6, 2023

Privacy-Preserving Accountability Online

Chinmay Nirkhe (UC Berkeley (IBM Quantum)) March 2, 2023

Why can’t we classically describe quantum systems?

Hoon Cho (Broad Institute and MIT) February 28, 2023

Secure and Federated Genomics

Yang Liu (Stanford University) February 27, 2023

Graphs, Optimization, Geometry, and Fast Algorithms

Lydia Liu (Cornell University) February 16, 2023

Towards Responsible Machine Learning in Societal Systems

Ion Stoica (UC Berkeley) January 27, 2023

Sky Computing

Telle Whitney (Co-Founder, GHC and NCWIT) January 19, 2023

Technology Innovation and Inclusion: the five Cs – an entrepreneurial journey toward an inclusive future

Amin Vahdat (Google) January 12, 2023

Reinventing Computing: How necessity will transform next-generation infrastructure

Amit Levy (Princeton) January 11, 2023

Towards User-Centric Cloud Computing

Various Presenters (Allen School) December 1, 2022

Robotics Research Group

Various Presenters (Allen School) November 17, 2022

CREATE and Accessibility Research

Jenny Lay-Flurrie (Chief Accessibility Officer, Microsoft) November 10, 2022

Accessibility at Microsoft

Various Presenters (Allen School) November 3, 2022

Social Futures Lab

Oren Etzioni (Emeritus, University of Washington / AI2 Incubator) October 27, 2022

What I learned: stories and lessons from an academic lifetime

Pedro Domingos (Emeritus - University of Washington) October 20, 2022

Machine Learning: The Last 20 Years and the Next

Pengyu Zhang (Alibaba Cloud) October 12, 2022

Experiences in building and deploying RFID and 5G systems in Alibaba's logistics networks and Alibaba cloud

Various Presenters (Allen School) October 6, 2022

PLSE Research Group