Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

In the minds of many people, math lives in the classroom—on blackboards, in textbooks, and in tests. New research from Amber ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Nvidia (NVDA) has entered into a non-exclusive licensing agreement with Groq for its inference technology. The agreement reflects a shared focus on expanding access to high-performance, low cost ...

for computing the magnetic polarizability tensor (MPT) for object characterisation in metal detection. In the case of frequency sweeps, this is accelerated by the Proper Orthogonal Decomposition (POD) ...

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T-ELF is one of the machine learning software packages developed as part of the R&D 100 winning SmartTensors AI project at Los Alamos National Laboratory (LANL). T-ELF presents an array of ...

Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China ...