In many application areas, certain parts of the algorithm, which was then implemented in a computer programming environment can be run in parallel. Individual sections of the application can be sent ...

An artificial-intelligence approach known as AlphaTensor found exact matrix-multiplication algorithms that are more efficient than those previously known for many matrix sizes. The technique ...

This LabVIEW code demonstrates data parallelism; by dividing the matrix in half the operation can be computed simultaneously on two CPU cores. When using this technique in LabVIEW to increase ...

Today, DeepMind unveiled AlphaTensor, the “first artificial intelligence system" to shed light on a 50-year-old open question in mathematics.

Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...

Mathematics DeepMind AI finds new way to multiply numbers and speed up computers Matrix multiplication - where two grids of numbers are multiplied together - forms the basis of many computing ...

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

Parallel Universe is an Israeli technology company that promises video game companies the capability to make Matrix-style games through parallel processing, allowing millions of objects to be ...