Scalable SoC Architectures for Domain-Specific Computing: From Algorithms to Silicon

Architecting Quantum Systems for the Scaling Era: A Systems Approach to Practical Quantum Computing

CANCELLED: Beyond Scaling: Frontiers of Retrieval-Augmented Language Models

Developing Responsible AI Monitoring Technologies for Chronic Care

Aligning AI Agents with an Ideal

From Language to Silicon: Programming Systems for Sparse Accelerators

Self-Learning Principles of Large-Scale Foundation Models

Security & Privacy through Programmable Cryptography, Compilers, and Verification

Neural Operator for Scientific Computing

Sublinear Algorithms and Quantum Computing

Performance Interfaces for Systems Software and Hardware

Multisensory Dexterity for Robotics

Privacy, Copyright, and Data Integrity: The Cascading Implications of Generative AI

Building the Tools to Program a Quantum Computer

From Agents to Optimization: User Interface Understanding and Generation

Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines

Understanding and Enhancing Deep Neural Networks with Automated Interpretability

Teaching Demonstration: What Should I Test? How to Think About and Select Test Inputs

Learning to Perceive the 4D World

Where can quantum computers outperform classical computers?

Generative Computer Vision for the Physical World

Adventures in Feature Space: Vector Similarity Measures for Machine Learning

Steering Machine Learning Ecosystems of Interacting Agents

Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI