Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing.
Berkeley Lab’s Chris Mungall and Nomi Harris explain how agreeing on precise definitions of each rare disease can lead to more accurate diagnoses and better treatments, and share new evidence showing this endeavor is more important than ever.
Katherine Yelick, the Associate Laboratory Director for Computing Sciences at Berkeley Lab and professor of electrical engineering and computer sciences at UC Berkeley, has been honored by HPCwire as their Editor’s Choice for Outstanding Leadership in high-performance computing.
A team of researchers at Berkeley Lab and UC Berkeley has successfully demonstrated how machine-learning tools can improve the stability of light beams’ size for science experiments at a synchrotron light source via adjustments that largely cancel out unwanted fluctuations.
Berkeley Lab’s ESnet is one of five organizations leading an effort to create a nationwide research infrastructure that will enable the computer science and networking community to develop and test novel architectures that could yield a faster, more secure Internet.
An international team of scientists that includes Berkeley Lab researchers has announced a breakthrough in its quest to measure the mass of the neutrino, one of the most abundant yet elusive elementary particles in our universe.
A new study led by a physicist at Berkeley Lab details how a quantum computing technique called “quantum annealing” can be used to solve problems relevant to fundamental questions in nuclear physics about the subatomic building blocks of all matter. It could also help answer other vexing questions in science and industry, too.
A computer cluster at Berkeley Lab, which switched off last month, since 1996 had served as a steady workhorse in supporting groundbreaking physics research conducted by large collaborations.
Researchers in Berkeley Lab’s Computational Research Division are applying deep learning and analytics to electronic health record (EHR) data to help the Veterans Administration address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans.
Researchers at Berkeley Lab have turned parts of a 13,000-mile-long testbed of “dark fiber,” unused fiber-optic cable, owned by the DOE Energy Sciences Network (ESnet) into a highly sensitive seismic activity sensor that could potentially augment the performance of earthquake early warning systems currently being developed in the western United States.