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 shapeshift in order to crawl from one point to another.
Robotics & AI
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.
1/16/2019 - In a new paper, Berkeley engineers build on 35 years of research with new algorithms that compute robust robot pick points, enabling robot grasping of a diverse range of products without training.
1/9/2019 Wired - Researchers from the Berkeley AI Research Lab and Google Brain have taught a robot to teach itself how to walk, through trial and error, in just two hours; the results "are as awkward as they are magical."
12/21/2018 - Current privacy laws and regulations are nowhere near sufficient to keep an individual’s health data private in the face of advances in artificial intelligence, according to a new study from IEOR professor Anil Aswani and his team.
12/19/2018 California Magazine - Unlike most robots, the ones in the Berkeley Artificial Intelligence Research (BAIR) Lab haven’t been programmed to perform a specific task. Instead, they’ve been programmed to learn new stuff by observation or through physical trial and error.