Allen School researchers are at the forefront of exciting developments in AI spanning machine learning, computer vision, natural language processing, robotics and more.
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 planning.
Groups & Labs
Tsvetshop
Tsvetshop researchers aim to develop practical solutions to natural language processing problems that combine sophisticated learning and modeling methods with insights into human languages and the people who speak them.
Systems Neuroscience & AI Lab (SNAIL)
SNAIL develops computational models and algorithms for understanding how single-trial neural population activity drives our abilities to generate movements, make decisions, and learn from experience.
Faculty Members
Centers & Initiatives
Taskar Center for Accessible Technology (TCAT)
TCAT harnesses the power of open-source technology to develop, translate, and deploy accessible technologies, and then sustain them in the hands of communities. Housed by the Paul G. Allen School for Computer Science & Engineering, TCAT centers the experience of people with disabilities as a lens for improving design & engineering, through participatory design practices, tooling and capacity building.
Center for AI & Culture
The Center for AI & Culture advances research to better understand and design AI systems for people with diverse cultural backgrounds.
Highlights
Allen School News
Asai, a Ph.D. student in the Allen School’s H2Lab, was recognized for her pioneering work tackling the major limitations of large language models, making them increasingly useful to more people. The IU35 Japan award honors young innovators who are “working to solve global problems.”
UW News
In this Q&A, Allen School professor Natasha Jaques explains how a new training method called variational preference learning, or VPL, can enable AI systems from ChatGPT to robots to better reflect users’ diverse values.
Allen School News
Professor Gollakota, who leads the Allen School’s Mobile Intelligence Lab, received the 2024 Infosys Prize in Engineering and Computer Science for his research that uses artificial intelligence to change the way we think about speech and audio.