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
Graphics & Imaging Lab (GRAIL)
The work of the Graphics & Imaging Laboratory spans computer graphics, computer vision, generative AI, computational photography, virtual reality, animation and games.
WEIRD Lab
The Washington Embodied Intelligence and Robotics Development lab is interested in robotics problems, and currently we are thinking deeply about reinforcement learning algorithms to enable real-world robotic manipulation tasks in the home.
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.
Change
Change is a cross-campus collaboration that explores the challenges of developing technology in the context of positive social change. It seeks to make connections between researchers, outside organizations, and the public to inspire the development of new capabilities aligned with the interests of those most in need.
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.