Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...

The user-generated video platform, owned by Google parent Alphabet, has come under fire amidst talks of the social media ban in Australia. (Photo by Chris McGrath/Getty Images) Effective next month, ...

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 ...

Your average daily heart rate is a useful metric; so is your daily step count. Combining the two might be even better. By Matt Richtel Many people use a smartwatch to monitor their cardiovascular ...

Rapid and Non-Targeted Qualitative and Quantitative Detection of miRNA in Complex Biological Samples Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry with a 3‑Aminoquinoline and ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

A team of software engineers at the University of California, working with one colleague from Soochow University and another from LuxiTec, has developed a way to run AI language models without using ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...