MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

Semidynamics has announced a RISC-V Tensor Unit that is designed for ultra-fast AI solutions and is based on its fully customisable 64-bit cores. State-of-the-art Machine Learning models, such as ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Aalto University has demonstrated Tensor calculations using light. “Tensor operations are the kind of arithmetic that form the backbone of nearly all modern technologies, especially artificial ...

A custom-built AI chip from Google. Introduced in 2016 and used in Google Cloud datacenters, the Tensor Processing Unit (TPU) is designed for matrix multiplication, which is the type of processing ...