Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...

With technology continuing to change the way the world travels, there are certain aspects of the airline game that remain very much in the realm of the so-called "old school." Airplanes themselves, ...

Recently, Sharma et al. suggested a method called Layer-SElective-Rank reduction (LASER) which demonstrated that pruning high-order components of carefully chosen LLM’s weight matrices can boost ...

This guide explains how to deploy MATLAB Job Scheduler onto your Kubernetes cluster. You can then connect to the MATLAB Job Scheduler and use it to run MATLAB Parallel Server jobs on the Kubernetes ...

Grace is a Guides Staff Writer from New Zealand with a love for fiction and storytelling. Grace has been playing games since childhood and enjoys a range of different genres and titles. From pick your ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

The Matrix Model, developed by the Matrix Institute (now CLARE|MATRIX), is one of the few treatment models specifically designed to address the needs of individuals with stimulant-use disorders. This ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography. Rzeszow University of Technology researchers based in ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...