Non-reciprocal magneto-optics memory enables an integrated photonic platform that supports powerful matrix-vector multiplication computing and fast, efficient, fatigue-free programming capabilities.

Matrix calculations serve as a foundational pillar within the domain of computational algorithms, with their applications extending across a spectrum of disciplines ranging from computer science to ...

AMD and Intel have published the full specification for AI Compute Extensions, better known as ACE, setting up a new x86 standard for AI matrix work on future processors. The specification, now at ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...