August 2018

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Fake news detector algorithm works better than a human

Fake news

An algorithm-based system that identifies telltale linguistic cues in fake news stories could provide news aggregator and social media sites like Google News with a new weapon in the fight against misinformation.

 

RECENT NEWS

New Darpa project

Using software to beat Moore's Law

Prof. Ron Dreslinski received a $9.5M DARPA grant to develop a hardware architecture and software ecosystem to outperform today's processors.

Foreshadow

Intel vulnerability could put millions of PCs at risk

A newly discovered processor vulnerability, called Foreshadow, could put secure information at risk in all recently manufactured Intel-based PCs.

Science olympiad team

Michigan's first Science Olympiad invitational

Conceived of and organized in part by CS first-year Omar Al-Ejel, the U-M Science Olympiad gave 45 high school student teams a place to hone their craft.

Discover Computer Science

New course for those without CS experience

A new 1-credit course for those without formal programming experience is designed to broaden participation in computer science.

Alex Halderman

Hackers are out to jeopardize your vote

In this Q&A with MIT Tech Review, Prof. J. Alex Halderman explains why US voting systems are still vulnerable, even after security improvements.

Levi Weintraub

Riding, wrenching, and coding

Alumnus Levi Weintraub has lived on two wheels for close to two years on an epic trans-African journey, educating aspiring African tech professionals along the way.

FEATURED VIDEO

Trove collaboration

Making online communication smarter

Profs. Danai Koutra and Walter Lasecki have been funded by Ann Arbor AI startup Trove to develop novel methods and tools that will help make intelligent online communication smarter.

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