Researchers in China published a paper describing a theoretical model for photonic computing that used light particles instead of electrons for faster processing. The team developed “parallel optical ...
In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
Abstract: Tensor contractions extend the concept of the General Matrix Multiplication (GEMM) to high-dimensional spaces. They enable sophisticated computations in various scientific disciplines.
What’s the difference between a GPU and a TPU? It’s a wonkish question, to be sure, but one that has a lot of interesting applications to the AI arms race, where companies are trying to be the go-to ...
A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the foundational hardware for AGI, scientists argue. When you purchase through ...
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 ...
Hi, thanks for your great work on Transformer Engine! I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are ...
Toward Using Matrix-free Tensor Decompositions to Systematically Improve Approximate Tensor-Networks
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. You may have access to this article through your institution.
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. You may have access to this article through your institution.
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