6/13/2019 Washington Post - EECS graduate student Shruti Agarwal and incoming professor Hany Farid argue that powerful new AI software has effectively democratized the creation of convincing “deepfake” videos, making it easier than ever to fabricate someone appearing to say or do something they didn’t really do.
Robotics & AI
6/12/2019 TechXplore - A new video by the Hybrid Robotics Group, show bipedal robot Cassie Cal riding in hovershoes down a few stairs,riding on uneven outdoor terrain, up and down steep inclines, and leaning into a turn to go around corners.
5/22/2019 - Topping out at less than a foot, Salto the robot looks like a "Star Wars" imperial walker in miniature. But don’t be fooled by its size — this little robot has a mighty spring in its step.
5/1/2019 The integration of self-driving vehicles requires policy decisions that consider how travel behavior will shift with the introduction of new mobility choices.
4/24/2019 - New soccer-ball-shaped robots, created by engineers at Berkeley and Squishy Robotics, can fall hundreds of feet and be no worse for wear, or shape-shift in order to crawl from one point to another.
4/15/2019 MIT Tech Review - A machine built by UC Berkeley researchers drew on experimentation, data and observation of humans to learn how simple implements could help it achieve a task.
4/9/2019 - Blue uses advances in artificial intelligence and deep reinforcement learning to master intricate human tasks, while remaining affordable and safe enough that every AI researcher — and eventually every home — could have one.
4/8/2019 - Researchers have developed a device that allows living tissue, bone, blood vessels and even whole organs to be printed on demand.
4/2/2019 IEEE - Jitendra Malik, Arthur J. Chick Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of California at Berkeley, has been named to receive the IEEE Computer Society’s 2019 Computer Pioneer Award.
3/26/2019 MIT Technology Review - Berkeley Engineering AI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems — including those used in defense.