The University of Washington and Meta are launching a new partnership today that will support graduate student research while providing opportunities to collaborate with industry-leading scientists and engineers. The Meta AI Mentorship Program is designed to enable Allen School Ph.D. students who are interested in artificial intelligence, machine learning or natural language processing to advance… Read more
Eight years ago, Allen School professor Jennifer Mankoff and a group of like-minded researchers who cared about, or needed, accessibility put their heads together after coming to a realization about SIGCHI, the Association for Computing Machinery’s Special Interest Group on Computer-Human Interaction. While a growing swath of researchers in the community had begun to focus… Read more
One is defying traditional gender-based norms through her choice of career path while making it easier for her peers to do the same. Another was motivated to turn tragedy into triumph and dedicate his research to making the world more accessible to people with disabilities. And still others are working to unlock the mysteries of… Read more
“Nothing about us without us.” That statement has become a rallying cry for people with disabilities to ensure they have a direct voice in shaping the policies and conditions that, in turn, shape their access to employment, education, and lately, technology. With the growing proliferation of human-centered applications powered by artificial intelligence, it has become… Read more
When Sewon Min first arrived at the University of Washington as an exchange student in the fall of 2016, little did she know how those three months would change the course of her academic career. After completing a brief stint as an undergraduate research assistant under the guidance of Allen School professors Hannaneh Hajishirzi and… Read more
When he was a student in high school, computer science major Alex Mallen had what he describes as a “rough” introduction to research. Fortunately, the Bellevue, Washington, native didn’t let that experience deter him at the University of Washington, where as a freshman he decided to try again as a step toward pursuing a Ph.D…. Read more
Artificial intelligence tools have the potential to become as essential to medical research and patient care as centrifuges and x-ray machines. Advances in high-accuracy predictive modeling can enable providers to analyze a range of patient risk factors to facilitate better health care outcomes — from preventing the onset of complications during surgery, to assessing the… Read more
Less than a year after her arrival at the University of Washington, professor Yulia Tsvetkov is making her mark as the newest member of the Allen School’s Natural Language Processing group. As head of the Tsvetshop — a clever play on words that would likely stymie your typical natural language model — Tsvetkov draws upon… Read more
Recent advances in open-ended text generation could enable machines to produce text that approaches or even mimics that generated by humans. However, evaluating the quality and accuracy of these large-scale models has remained a significant computational challenge. Recently, researchers at the Allen School and Allen Institute for AI (AI2) offered a solution in the form… Read more
Luke Zettlemoyer, a professor in the Allen School’s Natural Language Processing group and a research director at Meta AI, was recently elected a Fellow of the Association for Computational Linguistics (ACL) for “significant contributions to grounded semantics, semantic parsing, and representation learning for natural language processing.” Since he arrived at the University of Washington in… Read more