We cultivate a deeper understanding of the science and potential impact of rapidly evolving technologies, such as large language models and generative AI, while developing practical tools for their ethical and responsible application in a variety of domains — from biomedical research and disaster response, to autonomous vehicles and urban ...

Her research investigates a wide variety problems across NLP and AI including fundamental limits and capabilities of large language models, alternative training recipes for small language models, neuro-symbolic fusion, commonsense knowledge and reasoning, moral norms and values, pluralistic alignment, and AI safety.

Welcome to the UW CSE AI Web site! We are active in all major areas of AI, including machine learning, natural language processing, planning, reasoning, robotics, and vision. We are ranked in the Top Five departments in AI by U.S. News & World Report.

The Reasoning, AI, and VisioN (RAIVN) Lab in the Allen School at the University of Washington is directed by Prof. Ali Farhadi and Prof. Ranjay Krishna. Our research is at the intersection of Computer Vision, Machine Learning, Natural Language Processing and Robotics and is targetted towards helping computers improve their perception and reasoning.

We are the Lab for Human-AI Interaction in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Our research is positioned at the intersection of artificial intelligence, natural language processing, and human-computer interaction.

Feb 24, 2016 · As a research scientist at the Allen Institute for AI (AI2), Ashish Sabharwal investigates scalable and robust methods for probabilistic and combinatorial inference, graphical models, and discrete optimization, especially as they apply to assessing machine intelligence through standardized exams in science and math.

Explainable AI principles & techniques. AI transparency & model auditing. Alzheimer's disease therapeutic target discovery. Biology of aging. Early disease driver detection. Cancer precision medicine. Clinical AI (dermatology, emergency medicine)

The University of Washington’s, Taskar Center for Accessible Technology invites students from traditionally underrepresented groups to join us for a free, 20-week data science introductory workshop. To be eligible for the program, students must be rising high school juniors, high school seniors, or college freshmen.

Nov 8, 2024 · While the Allen School’s annual Research Showcase and Open House highlights both the breadth and depth of computing innovation at the state’s flagship university, the 2024 event at the University of Washington last week had a decidedly AI flavor.

Dec 17, 2024 · The headphones use an AI algorithm that allows the wearer to hear others speaking inside the bubble, while sounds outside of it are quieted. Gollakota said that the award money from the InfoSys Prize will go toward commercializing the technology.