Artificial intelligence archive

Pieter Abbeel and Michael Jordan join IEOR

August 24, 2017

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).

Can artificial intelligence fly a plane?

August 17, 2017

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.

Ensuring that robots and humans work and play well together

August 17, 2017

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.

Researchers teach computers to be curious

May 25, 2017

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.

Meet the most nimble-fingered robot yet

May 25, 2017

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.

Robots and our automated future

May 9, 2017

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.

Dean’s word: Inventing a better future

May 1, 2017

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.

The most robot-proof job of them all

April 14, 2017

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.

AI needs more humans in it

March 9, 2017

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.

Berkeley a regional center in new robotics manufacturing consortium

January 25, 2017

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.

Forbes profiles AI pioneer Peter Norvig

January 20, 2017

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.

Seeing is believing

November 1, 2016

Emerging augmented reality and virtual reality technologies are opening up a new frontier of possibilities for researchers at Berkeley’s new Center for Augmented Cognition.

Huawei puts $1M into AI research partnership with UC Berkeley

October 11, 2016

China’s Huawei on Tuesday announced a $1 million partnership between its Noah’s Ark Laboratory and the Berkeley Artificial Intelligence Research (BAIR) Lab to perform basic research into machine learning, computer vision and other areas of artificial intelligence.

A lesson of Tesla crashes? Computer vision can’t do it all yet

September 21, 2016

EECS department chair Jitendra Malik, a researcher in computer vision for three decades, doesn’t own a Tesla, but he has advice for people who do. “Knowing what I know about computer vision,” he said, “I wouldn’t take my hands off the steering wheel.”

Toward human-centric A.I.

September 20, 2016

Twenty years ago, Stuart Russell co-wrote a book titled Artificial Intelligence: A Modern Approach, destined to become the dominant text in its field. Near the end of the book, he posed a question: “What if A.I. does succeed?”