The U.S. Department of Energy (DOE) announces a $3.6 million investment in high-performance computing to help address key challenges in U.S. manufacturing, material, and mobility development.
Long before Industry 4.0 and cloud-connected architectures became possible, innovators championed PC-based technologies for industrial automation.
Edge computing is a mesh network of micro-data centers that process or store critical data locally while also working in concert with a central data center or cloud-storage repository.
North Carolina State University researchers are proposing a framework that would allow users to understand the rationale behind artificial intelligence (AI) decisions, which would improve transparency and move away from black box systems.
Stanford University researchers have has built an integrated circuit to control the flow of light through a diamond chip, which could help create quantum processors that are faster than the fastest electronic computers today.
A University of Michigan aerospace engineer is working on high-fidelity simulations for an experimental propulsion system called a rotating detonation engine, which could help supercomputers better simulate complex physics as well as create more efficient aircraft engines.
End users are optimistic about edge computing’s ability to transform industrial automation processes, according to research by Stratus Technologies and CFE Media.
Engineers at the University of Wisconsin-Madison have devised a method to grow graphene nanoribbons directly on top of silicon wafers for more powerful and energy-efficient computers.
MIT researchers have fabricated a diamond-based quantum sensor on a silicon chip. The advance, called a nitrogen-vacancy (NV) center, could pave the way toward low-cost, scalable hardware for quantum computing, sensing, and communication.
MIT researchers have developed an approach that harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.