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
![group-lab-weird-lab Dexterous robotic hand reaching to lift rectangular brick](https://www.cs.washington.edu/wp-content/uploads/2024/06/group-lab-weird-lab.jpg)
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.
![group-lab-grail-ar-vr People wearing AR-VR headsets pointing into the air](https://www.cs.washington.edu/wp-content/uploads/2024/06/group-lab-grail-ar-vr.jpg)
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.
Faculty Members
Centers & Initiatives
![center-uw-memc-logo UW MEM-C logo](https://www.cs.washington.edu/wp-content/uploads/2024/12/center-uw-memc-logo.jpg)
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.
![taskar-center-logo Taskar Center for Accessible Technology logo with TCAT in block letters and a row of silhouettes depicting 8 people of diverse presumptive ages and abilities, including a person with a guide dog, a person in a wheelchair, a person with a cane, and a trio of people of different heights holding hands](https://www.cs.washington.edu/wp-content/uploads/2024/09/taskar-center-logo.jpg)
Taskar Center for Accessible Technology (TCAT)
TCAT harnesses the power of open-source technology to develop, translate, and deploy accessible technologies, and then sustain them in the hands of communities. Housed by the Paul G. Allen School for Computer Science & Engineering, TCAT centers the experience of people with disabilities as a lens for improving design & engineering, through participatory design practices, tooling and capacity building.
Highlights
UW News
![Sheng Wang speaking at a podium](https://www.cs.washington.edu/wp-content/uploads/elementor/thumbs/news-wang-biomedparse-uw-qa-qynnmsani7hwibngnltxnwr4o0p8k25a3uvz1t0jfk.jpg)
In this Q&A, Allen School professor Sheng Wang talks about his work on a new medical AI model, BiomedParse, that works across nine different types of medical images to better predict systemic diseases. Clinicians can load images into the system and ask questions in plain English.
GeekWire
![news-item-luis-ceze Portrait of Luis Ceze](https://www.cs.washington.edu/wp-content/uploads/elementor/thumbs/news-item-luis-ceze-qup3uycr4p4adodhvkh4xvefppj646xv6seeewjae8.jpg)
OctoAI, a UW startup that sells tools to help build and run generative AI models more efficiently, has been acquired by chip giant Nvidia. Allen School professor and OctoAI co-founder Luis Ceze joined Nvidia following the deal, which is the latest AI-related acquisition for the chipmaker.
UW News
![news-chatgpt-reasoning-saad-ahmad-BQLw0OrA6F4-unsplash-scaled Silhouette of a table and chairs in front of a bright window that cases light on a frosted glass pane carved with math equations](https://www.cs.washington.edu/wp-content/uploads/elementor/thumbs/news-chatgpt-reasoning-saad-ahmad-BQLw0OrA6F4-unsplash-scaled-1-qubb1307hepknmllsswc1t51f8po369ufy4d1i3eqo.jpg)
Allen School postdoc Niloofar Mireshghallah discusses why math and reasoning have so challenged artificial intelligence models and what the public should know about OpenAI’s new release.