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Media coverage on the distant future of AI and machine learning have painted a scary picture of machines going berserk, rampaging killer robots, and rogue self-driving cars. Those ugly manifestations of machine learning are unlikely to go beyond fiction. But the dangers of machine learning can—and already have—taken different routes. A couple of podcasts featuring El Mahdi El Mhamdi, PhD scholar at EPFL, shed important light on the dark side of AI—poisoned data sets, bad actors, AI-generated fake news, and the Byzantine problem—and his work on technical AI safety and robustness in biological systems.

Elison Matioli, assistant professor at EPFL’s Institute of Electrical Engineering and director of the POWERlab, has joined EcoCloud.

Every weekday, avid followers of computer science wake up to a new writeup by the inimitable Adrian Colyer on his blog The Morning Paper. His insightful selections help bring practical ideas from the academia to the computing practitioner. In a year, readers are exposed to concepts and ideas from more than 200 papers. In his latest post, Adrian Colyer presents a paper co-authored by Alexandros Daglis, Mark Sutherland, and EcoCloud Founder-Director Babak Falsafi.