Abstract: Tensor contractions extend the concept of the General Matrix Multiplication (GEMM) to high-dimensional spaces. They enable sophisticated computations in various scientific disciplines.

Last December, several members of a national organization for math education leaders came together to issue a warning. A growing movement in the field, they claimed, was calling on schools to adopt an ...

This video reveals how tensors quietly power the mathematics behind the physical world, from motion and forces to space, time, and modern physics. Learn what tensors really are, why they appear ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

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 ...

About a year ago, an AI startup known as Recogni announced a patented number system for AI math, known as Pareto. Pareto is a logarithmic system, meaning that it stores numbers using their logarithmic ...

This crate performs path optimization for tensor contraction (not performing the actual tensor contraction computation). This is a re-implementation (with minor modifications) to opt_einsum. The ...

South Korean AI chip startup FuriosaAI, which Meta considered buying earlier this year, said it has raised a $125 million Series C bridge financing, bringing total funding to date to $246 million.

Recently, researchers have achieved a groundbreaking milestone in quantum computing by successfully simulating Google’s 53-qubit, 20-layer Sycamore quantum circuit. This accomplishment was made ...