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
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.
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.
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.
NSF AI ACTION Institute
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.
Highlights
UW Aeronautics & Astronautics
Department of Aeronautics & Astronautics researchers teamed up with Taskar Center Director Anat Caspi and computer engineering major Marc Alwan to explore how eye-tracking can help autonomous systems adapt their interactions to individual users’ comfort and safety preferences.
UW News
Researchers in the Allen School’s Personal Robotics Lab invited people with motor impairments to help them test the Assistive Dexterous Arm in real-world scenarios — including community researcher Jonathan Ko, who spent five days with ADA in his home.
Allen School News
Feng envisions the work of LLMs as a collaborative endeavor, while Pang is interested in advancing the conversation around unintended consequences of these and other emerging technologies. Both were recently honored among the 2024 class of IBM Ph.D. Fellows for their innovative research.