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
Robotics Group
Doing ground-breaking work in mechanism design, sensors, computer vision, robot learning, Bayesian state estimation, control theory, numerical optimization, biomechanics, neural control of movement, computational neuroscience, brain-machine interfaces, natural language…
Bespoke Silicon Group
The Bespoke Silicon Group aims to bring hardware design to its highest art and rapidly conceive of, design and implement entirely new kinds of hardware faster than has ever been done before.
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Centers & Initiatives
The Institute for Medical Data Science (IMDS) is a joint effort among the Schools of Medicine and Public Health and the College of Engineering, including the Allen School to lead the development and implementation of cutting-edge AI and data science methods in medical data science. By harnessing the power of AI across diverse health determinants, IMDS aims to improve patient health, provider satisfaction, and healthcare operations, particularly in the Pacific Northwest region.
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.
Highlights
Allen School News
The ACM Special Interest Group on Computer-Human Interaction (SIGCHI) recently honored Froehlich (Ph.D., ‘11) for his work to improve pedestrian infrastructure across the globe and tackle a range of other accessibility challenges using AI and HCI.
NBC News
In a paper appearing at ICLR, Allen School professor Natasha Jaques and colleagues explore how AI models used for writing and editing may be doing a lot more than a simple grammar check — even going so far as to override a human writer’s voice, style and meaning.
GeekWire
At an event in the Paul G. Allen Center for Computer Science & Engineering, UW President Robert J. Jones and Microsoft Vice Chair and President Brad Smith announced they are deepening their partnership with a new effort aimed at preparing Washington state residents for an AI-driven economy.