Artificial intelligence archive

Berkeley startup to train robots like puppets

November 7, 2017

Robots today must be laboriously programmed by writing computer code, but imagine donning a VR headset and virtually guiding a robot through a task instead. That’s the vision of EECS professor Pieter Abbeel and three of his students.

Building AI that can build AI

November 6, 2017

As the tech industry hunts for new ways to quicken the development of artificially intelligent machines, Berkeley researchers are focusing on machine-learning algorithms that will help robots learn new tasks based on things they’ve learned before. “Computers are going to invent the algorithms for us, essentially,” says EECS professor Pieter Abbeel.

Case studies in forward thinking

November 1, 2017

Nine Berkeley Engineering faculty members share some of their forward-looking work and how it might impact what’s to come.

Inventing the future

November 1, 2017

In a Q&A with Berkeley Engineer, Dean Shankar Sastry outlines his vision for the future of the college and beyond.

Berkeley experts on how to build more secure, faster AI systems

October 16, 2017

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.

In the future, warehouse robots will learn on their own

September 12, 2017

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.

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.

Berkeley startup to train robots like puppets

Building AI that can build AI

Case studies in forward thinking

Inventing the future

Berkeley experts on how to build more secure, faster AI systems

In the future, warehouse robots will learn on their own

Pieter Abbeel and Michael Jordan join IEOR

Can artificial intelligence fly a plane?

Ensuring that robots and humans work and play well together

Researchers teach computers to be curious

Meet the most nimble-fingered robot yet

Robots and our automated future

Dean’s word: Inventing a better future

The most robot-proof job of them all

AI needs more humans in it