On Friday, June 9, more than 4,000 family and friends from near and far gathered on the University of Washington campus to celebrate the Allen School’s 2023 graduates. The celebration commenced with a casual open house and meet-and-greet with faculty and staff in the Paul G. Allen Center and Bill & Melinda Gates Center. It culminated in a formal event in the Hec Edmundson Pavilion at the Alaskan Airlines Arena, where graduates made the brief journey across the stage to mark the start of a new journey as Allen School alumni. Read more →
Six Allen School students were recently named to the 2023 class of the Husky 100, an honor recognizing undergraduate and graduate students who are making the most of their time at the University of Washington. Husky 100 students make connections in and out of the classroom, making a positive impact on campus and in their communities. This year’s Allen School inductees are living those values, proving Huskies are stronger when in a pack. Read more →
Yejin Choi (John D. and Catherine T. MacArthur Foundation)Yejin Choi, a professor in the Allen School’s Natural Language Processing group, was selected as a 2022 MacArthur Fellow by the John D. and Catherine T. MacArthur Foundation to advance her work “using natural language processing to develop artificial intelligence systems that can understand language and make inferences about the world.” The MacArthur Fellowship — also known as the “genius grant” — celebrates and invests in talented and creative individuals… 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 elements of linguistics, economics, and the social and political sciences to develop technologies that not only represent the leading edge of artificial intelligence and natural… Read more →
Is that a superstorm over Sydney, or fake news?
We’ve all seen the images scrolling through our social media feeds — the improbably large pet that dwarfs the human sitting beside it; the monstrous stormcloud ominously bearing down on a city full of people; the elected official who says or does something outrageous (and outrageously out of character). We might stop mid-scroll and do a double-take, occasionally hit “like” or “share,” or dismiss the content as fake news. But how… Read more →
Marco Verch/Flickr
Genetic genealogy websites enable people to upload their results from consumer DNA testing services like Ancestry.com and 23andMe to explore their genetic makeup, familial relationships, and even discover new relatives they didn’t know they had. But how can you be sure that the person who emails you claiming to be your Uncle Phil really is a long-lost relation?
Based on what a team of Allen School researchers discovered when interacting with the largest third-party genetic genealogy service, you… Read more →
The Allen School is preparing to welcome five faculty hires in 2019-2020 who will enhance the University of Washington’s leadership at the forefront of computing innovation, including robot learning for real-world systems, machine learning and its implications for society, online discussion systems that empower users and communities, and more. Meet Byron Boots, Kevin Lin, Jamie Morgenstern, Alex Ratner, and Amy Zhang — the outstanding scholars set to expand the school’s research and teaching in exciting new directions while building on… Read more →
What makes Grover so effective at spotting fake news is the fact that it was trained to generate fake news itself.
When we hear the term “fake news,” more often than not it refers to false narratives written by people to distort the truth and poison the public discourse. But new developments in natural language generation have raised the prospect of a new potential threat: neural fake news. Generated by artificial intelligence and capable of adopting the particular language and… Read more →
Yejin Choi, a professor in the Allen School’s Natural Language Processing research group, has earned a 2018 Borg Early Career Award from the Computing Research Association’s Committee on the Status of Women in Computing Research (CRA-W). The annual award, which is named in honor of pioneering computer scientist Anita Borg, recognizes women in computing who have made significant contributions to the field through their research and activities that promote diversity.
When Choi joined the Allen… Read more →