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.
Robotics & AI
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.
11/19/2018 Science - Anyone can start a traffic jam — just by tapping the brakes. Now, scientists at Berkeley have shown that a few self-driving cars can prevent such jams — and in some cases double the average speed of surrounding vehicles.
11/14/2018 Berkeley students have created SurfSafe, a machine learning tool that identifies when an online photo has been doctored.
11/14/2018 Researchers led by Kris Pister are overcoming significant technical hurdles to push the boundaries of robotic miniaturization.
10/29/2018 - Berkeley transportation researchers are addressing the emerging era of smart vehicles with a project that uses machine learning to manage traffic where autonomous, semi-autonomous and manned vehicles share the road. They presented their project, called Flow, at the Conference on Robotic Learning.
10/16/2018 Reuters - With artificial intelligence expanding into ever more applications, the number of students trained in AI hasn't kept pace with the demand for workers — a mismatch reflected at a recent UC Berkeley career fair.
9/14/2018 The Economist - Countering fears that artificial intelligence will eliminate millions of jobs, a new report co-authored by Berkeley Engineering roboticist Ken Goldberg says AI may instead enhance job satisfaction for ordinary workers by taking over mundane tasks.