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 ...
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 ...
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 ...
The Star

Learning Matrix exams not high-stakes but to gauge student ability, says Fadhlina

KUALA LUMPUR: The Year Four and Form Three Learning Matrix will be implemented centrally, but it is not a high-stakes examination system, says Education Minister Fadhlina Sidek. Rather, she added, ...
Nature

Artificial intelligence finds faster algorithms for multiplying matrices

Algorithms have been used throughout the world’s civilizations to perform fundamental operations for thousands of years. However, discovering algorithms is highly challenging. Matrix multiplication is ...
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) ...