Data Science, AI & Robotics News

A machine learning breakthrough uses satellite images to improve lives

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.

Computing and Data Sciences Improve What We Know About Wildfires and How to Fight Them

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. 

New AI strategy enables robots to rapidly adapt to real world environments

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.

‘Eye in the sky’ sensors reduce stress of in-home dementia care

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.

Light unbound: Data limits could vanish with new optical antennas

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.

To climb like a gecko, robots need toes

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.

Learning to learn

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.

Creating informed responses: Berkeley’s computing and data science in action

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.

COVID-19 first target of new AI research consortium

The University of California, Berkeley, and the University of Illinois at Urbana-Champaign (UIUC) are the headquarters of a bold new research consortium established by enterprise AI software company C3.ai to leverage the convergence of artificial intelligence (AI), machine learning and the internet of things (IoT) to transform societal-scale systems.