Hidden Capabilities and Counterintuitive Limits in Large Language Models
Designing Timing Predictable and High-Performance Compute Systems for Cyber-Physical Systems
Designing Adaptable Interfaces that Support Scientific Communication
Quantum functional programming: A new paradigm for quantum computing with implications for machine learning and materials science
Internet-Scale Consensus in the Blockchain Era
Human-centered Natural Language Processing
Algorithms, complexity, and quantum many-body physics
Machine learning for science: tackling climate and health challenges
Safe and Responsible AI Development Via Climate Applications
Understanding and Aligning Large Scale Deep Learning
