Data Science, AI & Robotics News

Videos of squirrels leaping from bendy branches across impossibly large gaps, parkouring off walls, scrambling to recover from tricky landings are not just more YouTube content documenting the antics of squirrels. Researchers at UC Berkeley are capturing video of squirrels as part of their research to understand the split-second decisions squirrels make to elude deadly predators, research that could help with development of robots with better agility and control.

The National Science Foundation has awarded $20 million over five years to the Georgia Institute of Technology, the University of California, Berkeley and the University of Southern California to establish the National Artificial Intelligence (AI) Institute for Advances in Optimization. The award is among 11 new National AI Research Institutes announced today by NSF.

More than 700 imaging satellites are orbiting the earth, and every day they beam vast oceans of information to databases on the ground. There’s just one problem: Only those with considerable wealth and expertise can access it. Now, a UC Berkeley team has devised a machine learning system to tap the problem-solving potential of satellite imaging that could bring access and analytical power to researchers and governments worldwide.

Our understanding, planning, and response to wildfires benefit from connections with data and computing sciences. Recent developments in machine learning and simulations can help first responders detect fires earlier, predict fires’ paths and limit blazes quickly. Through collaborations with practitioners in other fields like microbiology and forest management, these tools are answering previously intractable questions about fires that can inform policy and practice. 

Delivery services may be able to overcome snow, rain, heat and the gloom of night, but a new class of legged robots is not far behind. Artificial intelligence algorithms developed by a team of researchers from UC Berkeley, Facebook and Carnegie Mellon University are equipping legged robots with an enhanced ability to adapt to and navigate unfamiliar terrain in real time.

People caring around the clock for a parent, spouse or other loved one with dementia are at a high risk for clinical anxiety, depression, social isolation and even suicidal ideation, according to longitudinal research from UC Berkeley. But thanks to a blend of artificial intelligence (AI) and behavioral science, relief may be on the horizon.

Researchers at the University of California, Berkeley, have found a new way to harness properties of light waves that can radically increase the amount of data they carry. They demonstrated the emission of discrete twisting laser beams from antennas made up of concentric rings roughly equal to the diameter of a human hair, small enough to be placed on computer chips.

AI has helped “superstar” firms such as Amazon, JPMorgan Chase, and UnitedHealth, get even bigger, according to a new paper co-authored by Berkeley Haas Assistant Professor Anastassia Fedyk.

Robots with toes? Experiments suggest that climbing robots could benefit from having flexible, hairy toes, like those of geckos, that can adjust quickly to accommodate shifting weight and slippery surfaces.

UC Berkeley is launching a new Computational Social Science Training Program (CSSTP) to train predoctoral students with advanced computational and data science analytics skills to address pressing needs in biomedical, behavioral, social, and clinical research.

When children play with toys, they learn about the world around them — and today’s robots aren’t all that different. At UC Berkeley’s Robot Learning Lab, groups of robots are working to master the same kinds of tasks that kids do: placing wood blocks in the correct slot of a shape-sorting cube, connecting one plastic Lego brick to another, attaching stray parts to a toy airplane.

In a live webcast on Tuesday, April 7, an interdisciplinary cast of Berkeley faculty members joined Nobel laureate Saul Perlmutter, director of the Berkeley Institute for Data Science, and Michael Lu, dean of Berkeley’s School of Public Health, to discuss how data is guiding our society’s response to the pandemic and how more and better data is needed to help us emerge from the crisis.