Scientists at Brookhaven National Laboratory developed a software toolkit that reconstructs and isolates neutrino data in 3D. This software directly enabled the long-awaited findings from the MicroBooNE experiment released today by Fermilab in four complementary analyses. The Wire-Cell team at Brookhaven Lab led one of the four analyses—the most sensitive analysis of the electron-neutrino interaction. Some components of the Wire-Cell toolkit were also used in the other three analyses.
The AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment, or ICICLE, will focus on next-generation intelligent cyberinfrastructure that makes using AI as easy as plugging an appliance into an electrical outlet.
Scientists at Brookhaven and Lawrence Berkeley National Laboratories have been developing an automated experimental setup of data collection, analysis, and decision making.
Scientists from St. Jude Children’s Research Hospital have proposed a new method for designing phase II clinical trials and have created a corresponding software to implement the approach.
Finland’s Aalto University begins collaboration with Swedish universities in the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP)
Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers.
Cristina Lopes, UCI Chancellor’s Professor of informatics, sits in a courtyard waiting as her students slowly trickle into class. In front of them is a series of large objects: the topic of today’s lecture. Lopes reaches out and touches a yellow cylinder floating in front of her, and the object is instantly replaced with a complex line of code.
Large data sets require software specifically written to increase precision. Christian Bauer develops that software for new physics discoveries.
DHS S&T collaborates with Intelligent Automation, Inc., to develop system that protects operating systems and apps on embedded platforms against cyberattacks.
Researchers have developed a mapping system for visually impaired pedestrians in urban spaces. The technology weighs the environmental and semantic data important to the visually impaired, and emphasizes safe, accessible, and navigable routes.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
An ORNL team developed CrossVis, an open-source, customizable visual analytics system that analyzes numerical, categorical and image-based data while providing multiple dynamic, coordinated views of these and other data types.
The technical interviews used in hiring for many software engineering positions test whether a job candidate has performance anxiety rather than whether the candidate is competent at coding. The interviews may also be used to exclude groups or favor specific job candidates.
St. Jude Children’s Research Hospital software enables detection of previously unknown cancer-causing gene fusions, pointing the way to new treatments.
An ORNL team developed the XACC software framework to help researchers harness the potential power of quantum processing units, or QPUs. XACC offloads portions of quantum-classical computing workloads from the host CPU to an attached quantum accelerator, which calculates results and sends them back to the original system.
A software package, 10 years in the making, that can predict the behavior of nuclear reactors’ cores with stunning accuracy has been licensed commercially for the first time.
New Brunswick, N.J. (Feb. 26, 2020) – Rutgers University–New Brunswick researchers have created a software tool that more efficiently analyzes how asphalt performs, saving transportation agencies time and money. As performance testing for asphalt pavement has evolved, the focus has shifted…
A Rutgers-led team of engineers has developed an automated way to produce polymers, making it much easier to create advanced materials aimed at improving human health. The innovation is a critical step in pushing the limits for researchers who want to explore large libraries of polymers, including plastics and fibers, for chemical and biological applications such as drugs and regenerative medicine through tissue engineering.
Lawrence Livermore National Laboratory researchers have garnered four awards among the top 100 industrial inventions worldwide.