Upcoming Events

In-SRAM Computing for Neural Network Acceleration

Automating the Verification of Distributed Systems

Bringing Practical Security to Vehicles

A Cognitive Architecture Realization of Event Cognition Capabilities

Efficient utilization of heterogeneous compute and memory systems

Towards Human Action Understanding in Social Media Videos using Multimodal Models

Sample-Efficient Algorithms for Hard-Exploration Problems in Reinforcement Learning

Learning General and Correct Procedural Knowledge in a Cognitive Architecture

Friday Night AI | “Language is everywhere — and AI models of language are not far behind“

Integrating visualization grammars with the task language of data analysts

Toward Practical Application-Aware Big Data Systems

Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning

EECS Juneteenth Celebration

Advances in Deep Reinforcement Learning: Intrinsic Rewards, Temporal Credit Assignment, State Representations, and Value-equivalent Models

Improving Application Connectivity with Network-conscious Systems

Assessment of Privacy Risks in Mobile and Web Applications

Haotian Jiang: Minimizing Convex Functions with Integral/Rational Minimizers

Application-Aware Scheduling in Deep Learning Software Stacks

Dynamic Connectivity, Hopsets, and Byzantine Agreement

Faster, smarter, and greener systems for data-center scale AI

Advancing Digital Safety for High-Risk Communities

The Value Equivalence Principle for Model-Based Reinforcement Learning

Learning Mid-Level Vision from Natural Data

Mitali Bafna: Playing Unique Games on Certifiable Small-Set Expanders and High-Dimensional Expanders

Parth Mittal: Brooks’ Theorem in Graph Streams

Scalable and Provably Robust Algorithms for Machine Learning