Pedro Domingos
November 24, 2020
Four UW faculty members named AAAS fellows for 2020
The American Association for the Advancement of Science has named four University of Washington faculty members as AAAS Fellows, according to a Nov. 24 announcement from the organization. The four are part of a cohort of 489 new fellows for 2020, which were chosen by their peers for “their scientifically or socially distinguished efforts to advance science or its applications.”
March 10, 2020
‘Age of A.I.’ documentary on YouTube features UW experts
A documentary series produced and released this winter by YouTube features UW computer scientist Pedro Domingos and members of the UW-based Pacific Northwest Seismic Network.
December 19, 2017
UW-authored books and more for the Dawg on your holiday shopping list
Here’s a quick look at some gift-worthy books and music created by UW talents in the last year or so — and a reminder of some perennial favorites.
May 19, 2016
UW to host first of four White House public workshops on artificial intelligence
From self-driving vehicles to social robots, artificial intelligence is evolving at a rapid pace, creating vast opportunities as well as complex challenges. Recognizing that, the White House Office of Science and Technology Policy is co-hosting four public workshops on artificial intelligence — the first of them May 24 at the University of Washington. Subsequent events…
September 17, 2015
A Q & A with Pedro Domingos: Author of ‘The Master Algorithm’
UW CSE professor Pedro Domingos’ book “The Master Algorithm” is an essential primer on machine learning, and a popular science romp through one of today’s hottest scientific topics.. It unveils the deep ideas behind the algorithms that increasingly pick our books, find our dates, manage investments and run our lives — and what informed consumers ought to know about them.
August 13, 2015
From protein design to self-driving cars: UW researchers win AI prize for new optimization approach
UW machine learning researchers have developed a new approach to optimization – a key step in predicting everything from election results to how proteins will fold – that won a top paper prize at the world’s largest artificial intelligence conference.