Credits: Image: Lillie Paquette/MIT School of Engineering
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Not so long ago, watching a movie on a smartphone seemed impossible. Vivienne Sze was a graduate student at MIT at the time, in the mid 2000s, and she was drawn to the challenge of compressing video to keep image quality high without draining the phone’s battery. The solution she hit upon called for co-designing energy-efficient circuits with energy-efficient algorithms.
Sze would go on to be part of the team that won an Engineering Emmy Award for developing the video compression standards still in use today. Now an associate professor in MIT’s Department of Electrical Engineering and Computer Science, Sze has set her sights on a new milestone: bringing artificial intelligence applications to smartphones and tiny robots.
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence | MIT News
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Driving on cutting edge of autonomous vehicle tech
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February 25, 2021 Caption: Kylie Ying (left) works on path planning and controls for MIT Driverless, while Jorge Castillo serves as team captain. Credits: Photo: David Sella
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In October, a modified Dallara-15 Indy Lights race car programmed by MIT Driverless will hit the famed Indianapolis Motor Speedway at speeds of up to 120 miles per hour. The Indy Autonomous Challenge (IAC) is the world’s first head-to-head, high-speed autonomous race. It offers MIT Driverless a chance to grab a piece of the $1.5 million purse while outmaneuvering fellow university innovators on what is arguably the most iconic racecourse.
But the IAC has implications beyond the track. Stakeholders for the event include Sebastian Thrun, a former winner of the DARPA Grand Challenge for autonomous vehicles, and Reilly Brennan, a lecturer at Stanford University’s Center for Automotive Research an