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 ...

New Linear-complexity Multiplication (L-Mul) algorithm claims it can reduce energy costs by 95% for element-wise tensor multiplications and 80% for dot products in large language models. It maintains ...

前回はNumPyを使ってテンソルに触れてみました。今回はPyTorchのTensorを取り扱います。 すでに学んだNumPyのテンソルの知識は、どのように役立つでしょうか。 画像データなどはNumPy形式のデータとして扱われることが多くPyTorchのTensorもNumPyのデータを ...

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction. The calculation expression is as follows, where the ...

AlphaTensor, builds upon AlphaZero, an agent that has shown superhuman performance on board games, like chess, Go and shogi, and this work shows the journey of AlphaZero from playing games to tackling ...

TensorGlass is a Python-based educational tool that visualizes Matrix Multiplication ($C = A \times B$) as a 3D Tensor Contraction. Unlike standard 2D grid ...

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 ...