Research
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
Northwest Database Society Annual Meeting Session 2: Urban Data Systems, Democratize Data Preparation for AI, CutTheTail, Integrity Constraints Revisited: From Exact to Approximate Implication, Automating Machine Learning Model Building with Big Clinical Data and more.…
Modern machine learning models can accurately predict patient progress and outcomes, however, they are not interpretable in the sense that they do not explain why selected features make sense or why a particular prediction result…
In classic supervised machine learning, a learning agent behaves as a passive observer: it receives examples from some external environment which it has no control over and then makes predictions. Reinforcement Learning (RL), on the…
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
