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…
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.
Allen School Faculty
Assistant Professor
Assistant Professor
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Associate Professor
Centers & Initiatives
The NSF AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION) seeks to change the way mission-critical systems are protected against sophisticated, ever-changing security threats. In cooperation with (and learning from) security operations experts, intelligent agents will use complex knowledge representation, logic reasoning, and learning to identify flaws, detect attacks, perform attribution, and respond to breaches in a timely and scalable fashion.
Society + Technology is a cross-campus, cross-disciplinary initiative and community at the University of Washington that is dedicated to research, teaching and learning focused on the social, societal and justice dimensions of technology.
Highlights
GeekWire
At the Allen School’s Research Showcase & Open House, students were recognized for projects that shrink AI models to run on small devices, evaluate the performance of video-language models, secure benchtop DNA synthesizers, and customize systems design using AI.
UW News
AI models with trillions of parameters are too large to run on many smart devices, but accessing them in the cloud leads to multi-second delays. Micro language models developed by researchers in the Mobile Intelligence Lab bridge the gap and provide instant responses to users.
Allen School News
In the latest installment of a Q&A series exploring grand challenges in computing, professors Franziska Roesner and Sewoong Oh discuss how they and their colleagues aim to develop a safer, more secure and privacy-preserving future through technologies that better serve people and society.