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
Robot Learning Lab
The Robot Learning Lab works on foundational research in machine learning, AI and robotics to develop intelligent robotic systems that can perceive, plan and act in complex environments and improve performance with experience.
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.
Faculty Members
Centers & Initiatives
Molecular Engineering Materials Center (UW-MEMC)
MEM-C is a NSF Materials Research Science and Engineering Center that integrates materials innovations with theory and computation to advance spin-photonic nanostructures and elastic layered quantum materials, aided by an “AI Core” that integrates artificial intelligence-driven materials discovery.
Tech Policy Lab
The Tech Policy Lab is a unique, interdisciplinary collaboration at the University of Washington that aims to enhance technology policy through research, education, and thought leadership. Founded in 2013 by faculty from the Paul G. Allen School of Computer Science & Engineering, Information School, and School of Law, the Lab aims to bridge the gap between technologists and policymakers and to help generate wiser, more inclusive tech policy.
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.