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
RAIVN Lab
The Reasoning, AI, and VisioN (RAIVN) Lab directed by Prof. Ali Farhadi and Prof. Ranjay Krishna focuses at the intersection of computer vision, machine learning, natural language processing and robotics and is targeted towards helping computers…
SAMPL
SAMPL is an interdisciplinary machine learning research group exploring problems across the system stack, including deep learning frameworks, specialized hardware for training and inference, new intermediate representations and more.
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Centers & Initiatives
AI@UW aims to push the boundaries of AI technology in service to the public good by advancing ethical, interdisciplinary AI research while fostering practical innovation to benefit society at large.
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.
Highlights
UW News
Allen School Ph.D. student Yael Eiger and professor Franziska Roesner discuss their research examining people’s experiences with technology during and after incarceration and the broader impacts of technology used for policing and post-release monitoring.
Allen School News
Professors Andrea Coladangelo, Matthew Golub, Ranjay Krishna, Chinmay Nirkhe, and Stephanie Wang are shaping the future of computing through projects spanning AI, systems, computational neuroscience, cryptography and quantum computing.
UW News
To help shed light over safety and security concerns with current AI systems, UW News spoke with researchers including professors Franziska Roesner and Noah A. Smith.