Visual Studio Magazine

How to Invert a Machine Learning Matrix Using C#

Inverting a matrix is one of the most common tasks in data science and machine learning. In this article I explain why inverting a matrix is very difficult and present code that you can use as-is, or ...
Semiconductor Engineering

More Efficient Matrix-Multiplication Algorithms with Reinforcement Learning (DeepMind)

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...
insideHPC

Deep Learning Frameworks Get a Performance Benefit from Intel MKL Matrix-Matrix Multiplication

The most widely used matrix-matrix multiplication routine is GEMM (GEneral Matrix Multiplication) from the BLAS (Basic Linear Algebra Subroutines) library. And these days it can be found being used in ...
EurekAlert!

Beyond small data limitations: Transfer learning-enabled framework for predicting mechanical properties of aluminum matrix composites

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
VentureBeat

Microsoft and MITRE release framework to help fend off adversarial AI attacks

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Microsoft, the nonprofit MITRE Corporation, and 11 organizations ...
Business Wire

d-Matrix Unlocks New Potential with Reinforcement Learning Based Compiler for At Scale Digital In-Memory Compute Platforms

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today, d-Matrix, a leader in high-efficiency AI-compute and inference, announced a collaboration with Microsoft using its low-code reinforcement learning (RL) ...