10/18/17 TechCrunch — Toy maker Mattel has teamed up with Berkeley-born Dash Robots to create Kamigami, a robotics platform that lets kids build their own six-legged robotic bugs from foldable plastic sheets.
10/16/17 — In a new report from Berkeley's Real-Time Intelligent Secure Execution Lab (RISELab), leading researchers outline challenges in systems, security and architecture that may impede the progress of artificial intelligence, and propose new research directions to address them.
09/12/17 New York Times — Robotics researchers in Berkeley Engineering's AUTOLAB are using neural networks and machine learning to teach robots to grab things they have never encountered before - a remarkable achievement that could drive significant changes for some of the world's biggest businesses.
08/24/17 — Berkeley Engineering professors Pieter Abbeel and Michael Jordan, both experts in machine learning, have been appointed as joint faculty in IEOR in addition to their primary appointments in EECS (and Statistics for Jordan).
08/17/17 New York Times — IEOR professor and roboticist Ken Goldberg discusses the problems of robots and uncertainty: getting machines to mimic the way humans intuitively plan for their next action and deal with events they've never before experienced.
08/17/17 MIT Tech Review — EECS assistant professor Anca Dragan is working to distill complicated or vague human behavior into simple mathematical models that robots can understand. Her visionary work has landed her a spot on MIT Tech Review's 35 Innovators Under 35 list.
07/18/17 IEEE Spectrum — Thanks to some mechanical fine-tuning and the clever addition of a pair of thrusters, Salto-1P, the tiny jumping robot from EECS professor Ronald Fearing's Biomimetic Millisystems Lab, is leaping longer, faster and higher than ever. Prepare to be amazed.
05/25/17 Engadget — When you first played Super Mario Bros, you probably started by exploring, not by racing through the game. Berkeley computer scientists have imparted that same sense of curiosity into their algorithm in a move that could drastically advance the field of artificial intelligence.
05/25/17 MIT Technology Review — A dexterous multi-fingered robot, developed by IEOR professor Ken Goldberg and his team, practiced by using virtual objects in a simulated world, showing how machine learning and the cloud could revolutionize manual work.
05/09/17 WBUR — In this radio piece, IEOR professor Ken Goldberg participates in a panel discussion on what the future might look like as sensing, automation and robotics become more prevalent.
05/01/17 — Inspired by the galago's unique ability to store energy in its tendons to leap to great heights, researchers have designed a small robot that can spring off walls and perform multiple vertical jumps.
05/01/17 — The college is preparing to launch a new initiative, one with an audacious goal: to invent a better, more promising future for generations to come.
04/14/17 Marketplace — EECS assistant Professor Anca Dragan talks with David Brancaccio about how her native Romania gave her a leg up on studying human-robot interactions, and on helping develop those skills for more would-be scientists.
04/05/17 Wareable — Allen Yang, head of the Center for Augmented Cognition, discusses the burgeoning augmented and virtual reality programs at UC Berkeley, including efforts to build a multidisciplinary VR classroom - a sort of 21st century computer lab.
03/14/17 — A gift from the entertainment virtual reality company Immerex will outfit a new lab for Berkeley's accelerating work in AR/VR, from training doctors to enhancing artistic performances.
03/09/17 Medium — EECS assistant professor Anca Dragan writes about the AI4ALL education program she's leading at Berkeley, BAIR Camp, where high school students will explore human-centered artificial intelligence.
01/25/17 — Berkeley Engineering is a key partner in the new $253 million Advanced Robotics Manufacturing Innovation Hub, launched this month by the Department of Defense to create and deploy next-generation robotic technology.
01/20/17 Forbes — In a profile of artificial intelligence pioneers, Peter Norvig (Ph.D.'86 CS), director of research at Google, outlines his thoughts on human-machine partnerships and the disparate goals of neuroscience and AI research.