Crystal jellyfish have an eerie beauty: thanks to a natural protein, they emit a faint green glow. For decades, researchers ...
An international team of scientists from IBM, The University of Manchester, Oxford University, ETH Zurich, EPFL and the University of Regensburg have created and characterized a molecule unlike any ...
Hunhold: Scientific computing needs high dynamic range: You need very large numbers, or very small numbers, and very high accuracy in both cases. The 64-bit standard has an excessive dynamic range, ...
A good mid-winter morning to you on this US Presidents Day! Today, we’re discussing the big, red-hot issue of traditional HPC’s place in a technology world dominated by AI – even as some of us will ...
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Like many major industrial complexes in history, we have been able to progressively cross a range that was previously considered impossible just a couple of years ago. Currently, a computer named ...
IBM (IBM) continued to make steady progress in quantum computing, advancing its development roadmap, improving error correction capabilities, and expanding ecosystem ...
Thermo Fisher Scientific is starting 2026's J.P. Morgan Healthcare Conference with a bang, announcing two new deals with an artificial intelligence bent. First up is its deal with tech supergiant ...
Several quantum computing stocks could be winners in 2026, including Microsoft and IonQ. However, Alphabet looks the most attractive. Alphabet should benefit from a continued AI tailwind this year.
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.
Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired by the architecture of the human brain, are surprisingly adept at solving ...