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.
Four college teams – UC Berkeley, UC Davis, Cal State University San Bernardino, and Embry-Riddle Aeronautical University – will square off at Berkeley Lab on Dec. 1 as part of DOE’s fourth collegiate CyberForce Competition. The event aims to address the cybersecurity capability gap and increase awareness around energy critical infrastructure.
Four Berkeley Lab scientists – Allen Goldstein, Sung-Hou Kim, Susannah Tringe, and Katherine Yelick – have been named Fellows of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society. They are among the 416 scientists awarded the distinction of AAAS Fellow this year.
A team of computational scientists and engineers from Berkeley Lab, Oak Ridge National Laboratory, and NVIDIA has been awarded the ACM Gordon Bell Prize for applying an exascale-class deep learning application to extreme climate data and breaking the exaop (1 billion billion calculations) computing barrier for the first time with a deep learning application.
In recognition of National Cybersecurity Awareness Month, cybersecurity expert Sean Peisert of Berkeley Lab discusses new methods that have the potential to keep our energy infrastructure safe from a cyberattack.