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Berkeley Lab ‘Minimalist Machine Learning’ Algorithms Analyze Images From Very Little Data

Berkeley Lab mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the thousands of images used by typical machine learning methods, this new approach “learns” much more quickly and requires far fewer images.

Berkeley Lab Researchers Contribute to Making Blockchains Even More Robust

Blockchain—a technology used for verifying and recording digital transactions—blasted into public consciousness with the rise of Bitcoin. This tool could also transform the way governments, global industries and even science research operate. In the last few years, a team of researchers has developed a new protocol, called BChain, which makes blockchain even more robust.

Applying Machine Learning to the Universe’s Mysteries

Berkeley Lab physicists and their collaborators have demonstrated that computers are ready to tackle the universe’s greatest mysteries – they used neural networks to perform a deep dive into data simulating the subatomic particle soup that may have existed just microseconds after the big bang.

The Mystery of the Star That Wouldn’t Die

Berkeley Lab and UC Berkeley scientists were part of a team that helped to decipher one of the most bizarre spectacles ever seen in the night sky: A supernova that refused to stop shining, remaining bright far longer than an ordinary stellar explosion. What caused the event is puzzling.

Scientists Solve a Magnesium Mystery in Rechargeable Battery Performance

A Berkeley Lab-led research team has discovered a surprising set of chemical reactions involving magnesium that degrade battery performance even before the battery can be charged up. The findings could steer the design of next-gen batteries.

Scientists Decode the Origin of Universe’s Heavy Elements in the Light from a Neutron Star Merger

On Aug. 17, scientists around the globe were treated to near-simultaneous observations by separate instruments that would ultimately be confirmed as the first measurement of the merger of two neutron stars and its explosive aftermath.

International Team Reconstructs Nanoscale Virus Features from Correlations of Scattered X-rays

As part of an international research team Berkeley Lab researchers contributed key algorithms which helped achieve a goal first proposed more than 40 years ago – using angular correlations of X-ray snapshots from non-crystalline molecules to determine the 3D structure of important biological objects.

Assessing Regional Earthquake Risk and Hazards in the Age of Exascale

With emerging exascale supercomputers, researchers will soon be able to accurately simulate the ground motions of regional earthquakes quickly and in unprecedented detail, as well as predict how these movements will impact energy infrastructure—from the electric grid to local power plants—and scientific research facilities.

Quantum Computation to Tackle Fundamental Science Problems

The observation that the number of transistors on a computer chip doubles roughly every two years has set the pace for our modern digital revolution—making smartphones, personal computers and current supercomputers possible. But some of the big problems that scientists need to tackle might be beyond the reach of conventional computers. Researchers at Berkeley Lab have been exploring a drastically different kind of computing architecture based on quantum mechanics to solve some of science’s hardest problems.

Berkeley Lab Aims to Strengthen the Cybersecurity of the Grid

As the U.S. electricity grid continues to modernize, it will mean things like better reliability and resilience and lower environmental impacts, as well as new computing and communications technologies to monitor and manage the increasing number of devices that connect to the grid. However, that enhanced connectivity for grid operators and consumers also opens the door to hackers.