To develop and internally validate a machine learning (ML) model that identifies older outpatients with MCI using routine electronic health record (EHR) data. We conducted a retrospective ...

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 ...

Start and quit MATLAB. Write and run MATLAB code. Assess your MATLAB code for style and correctness. To assist your agent in using MATLAB and Simulink, you can use skills from MATLAB Agentic Toolkit ...

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 ...

Ambitious targets drive progress—but how do we know if a target is truly ambitious? This video explores how the FAB Matrix evaluates ambitiousness by comparing proposed targets to business-as-usual ...

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...

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

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...

MATLAB, short for Matrix Laboratory, is a high-level programming language and software environment developed by MathWorks. It excels in numerical computation, data analysis, and algorithm development.