New initiative aimed at developing optical computing technologies to overcome the performance and energy limitations of traditional electronic ...

Researchers in China published a paper describing a theoretical model for photonic computing that used light particles instead of electrons for faster processing. The team developed “parallel optical ...

Using a grid, the system designs a set of rectangular silicon structures filled with tiny pores. The system continually adjusts each pixel in the grid until it arrives at the desired mathematical ...

Researchers at FOM Institute for Atomic and Molecular Physics (AMOLF) in the Netherlands have developed a new type of soft, flexible material that can perform complex calculations, much like computers ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Supported Matrix Types Integer matrices: Values are whole numbers (e.g., 1, -5, 0) Double matrices: Values are real numbers with decimal points (e.g., 1.5, -3.2) Complex matrices: Values are complex ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

The security of Bitcoin, and other blockchains, such as Liquid, hinges on the use of digital signatures algorithms such as ECDSA and Schnorr signatures. A C library called libsecp256k1, named after ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.