Michigan Engineering | University of Michigan The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
New research teaches AI how people move with internet videos
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Alumnus Yi-Jun Chang Wins PODC Dissertation Award
His work is in complexity theory of distributed computing.
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Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award
The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.
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NIST finalists for post-quantum security standards include research results developed by Prof. Chris Peikert
A new secure code is needed to protect private information from the power of quantum computing.
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“Hiding” network latency for fast memory in data centers
A new system called Leap earned a Best Paper award at USENIX ATC ‘20 for producing remote memory access speed on par with local machines over data center networks.
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Baris Kasikci earns CAREER Award to automatically improve software quality with data from everyday program use
Kasikci will sift through the byproducts of hundreds of millions of common program executions to determine how this data can automate some key steps in bug finding and fixing.
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New collaboration promises greater innovation in medical device security
The two organizations will connect their membership and partner networks to work on advancing security for life-saving devices.
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Enabling fairer data clusters for machine learning
Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.
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Jason Flinn earns Test of Time award for 1999 invention of adaptable battery use in mobile apps
The approaches to energy adaptation he proposed are now commonplace, and the applications he analyzed (web browsers, voice recognition, video players, and maps) are still ubiquitous.
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The Wolverines Behind the Next Generation of Autonomous Vehicles
The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.