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
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.
UW NLP Group
The University of Washington Natural Language Processing Group comprises diverse researchers across campus collaborating in the study of all aspects of NLP from computational, engineering, linguistic, social, statistical, and other perspectives.
Allen School Faculty
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Centers & Initiatives
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.
The Institute for Medical Data Science (IMDS) is a joint effort among the Schools of Medicine and Public Health and the College of Engineering, including the Allen School to lead the development and implementation of cutting-edge AI and data science methods in medical data science. By harnessing the power of AI across diverse health determinants, IMDS aims to improve patient health, provider satisfaction, and healthcare operations, particularly in the Pacific Northwest region.
Highlights
UW News
Researchers in the Allen School’s Mobile Intelligence Lab developed VueBuds, the first system that incorporates tiny cameras in off-the-shelf wireless earbuds as a less-intrusive, more privacy-preserving alternative to smart glasses.
Allen School News
The ACM Special Interest Group on Computer-Human Interaction (SIGCHI) recently honored Froehlich (Ph.D., ‘11) for his work to improve pedestrian infrastructure across the globe and tackle a range of other accessibility challenges using AI and HCI.
NBC News
In a paper appearing at ICLR, Allen School professor Natasha Jaques and colleagues explore how AI models used for writing and editing may be doing a lot more than a simple grammar check — even going so far as to override a human writer’s voice, style and meaning.