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.” ...

It involves translating matrix multiplication into a different computational problem in linear algebra involving objects called tensors. The particular tensors used in this problem are ...

algorithms New Breakthrough Brings Matrix Multiplication Closer to Ideal By eliminating a hidden inefficiency, computer scientists have come up with a new way to multiply large matrices that’s faster ...

Lenslet has developed an all-optical engine (EETimes 15/10/02) the size of a Palm Pilot handheld computer that can process a 256 x 256 matrix array multiplication in a single cycle. It is aimed at a ...

What does matrix multiplication actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Matrix multiplication, which involves multiplying two rectangular arrays of numbers, is often found at the heart of speech recognition, image recognition, smartphone image processing, compression ...

Engheta and colleagues have now set their sights on vector–matrix multiplication, which is a vital operation for the artificial neural networks used in some artificial intelligence systems. The team ...

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

Lenslet has developed an all-optical engine the size of a Palm Pilot handheld computer that can process a 256 x 256 matrix array multiplication in a single cycle. It is aimed at a range of designs, ...