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Computer scientist and University of Washington alumnus Christopher Ré is one of 24 recipients of “genius” grants this year from the John D. and Catherine T. MacArthur Foundation, the organization announced Sept. 28. Ré, an assistant professor of computer science at Stanford University, pursues new approaches to help computers analyze large, complex datasets. The diverse array of applications for Ré’s approach range from discovering new drugs to fighting human trafficking. “He has taken the area of database research to a…

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.

University of Washington researchers who conducted the first academic review of nine mhealth iPhone apps on the market in March 2014 found none met all the criteria that would make them accessible to blind customers. Accessibility shortcomings ranged from improperly labeled buttons to layouts that confuse built-in screen readers that assist low-vision smartphone users.

The gold standard for diagnosing sleep apnea — a disease which affects roughly 1 in 13 Americans — requires an overnight hospital stay and costs thousands of dollars. A new smartphone app developed at the University of Washington can wirelessly test for sleep apnea events in a person’s own bedroom without needing special sensors attached to the body.

University of Washington researchers have developed visual tools to help self-trackers understand their daily activity patterns over a longer period and in more detail. They found people had an easier time meeting personal fitness and activity goals when they could see their data presented in a broader, more visual way.

University of Washington computer scientists have built a low-cost gesture recognition system that runs without batteries and lets users control their electronic devices hidden from sight with simple hand movements. The prototype, called “AllSee,” uses existing TV signals as both a power source and the means for detecting a user’s gesture command.

University of Washington researchers have demonstrated that when humans use brain-computer interfaces, the brain behaves much like it does when completing simple motor skills such as kicking a ball or waving. Learning to control a robotic arm or a prosthetic limb could become second nature for people who are paralyzed.