Asked if the race to achieve superhuman artificial intelligence (AI) was inevitable, Stuart Russell, UC Berkeley professor of computer science and leading expert on AI, says yes.
As the natural world unravels, conservationists are looking for new solutions to save what’s left.
Big conservation initiatives take big bucks, but there’s only so much money to go around. So, how do we allocate? And once priorities are determined, how do we identify the most effective approaches?
One possibility: Big Data. It’s now poised to do for conservation what it has done for self-driving cars and online retail, says Carl Boettiger, an assistant professor in the Department of Environmental Science, Policy, and Management at UC Berkeley.
Posted on February 1, 2019 - 5:24am
It started with a conversation. About two years ago, Claudia von Vacano, executive director of UC Berkeley’s social science D-Lab, had a chat with Brittan Heller, the then-director of technology and society for the Anti-Defamation League (ADL). The topic: the harassment of Jewish journalists on Twitter. Heller wanted to kick the offending trolls off the platform, and Vacano, an expert in digital research, learning, and language acquisition, wanted to develop the tools to do it. Both understood that neither humans nor computers alone were sufficient to root out the offending language.
Posted on December 18, 2018 - 6:04pm
We accept that what goes up must comes down. What we don’t always understand is why. Like countless financial shakeups throughout history, this week’s stock market plunge has sparked widespread debate as to its causes. While there are no hard-and-fast answers, there are educated insights.
Posted on February 9, 2018 - 4:30pm
In the ongoing quest to build artificial intelligence (AI) that more closely mimics the human brain, some computer scientists at Berkeley are focusing on one crucial piece of the puzzle: curiosity.
For the last three years Deepak Pathak and Pulkit Agrawal, Ph.D. students in the Berkeley computer science department, have worked to create software that can learn on its own. Now the team is looking at creating systems that can not only learn, but keep asking questions.
When Randy Schekman looks up from his computer screen, which he now spends more time staring at than petri dishes, his eyes sometimes fall on a faded copy of Cell displayed nearby. The issue is dated June 17, 1994, and the cover depicts a swarm of magnified vesicles—tiny sacs that transport molecules inside cells—resembling a crowd of miniature suns.