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Artificial Intelligence

Apply embedded AI and agentic AI

Posts 1 - 10 of 187

From PyTorch & LiteRT to C, C++, and CUDA source code

Guest writer: Christoph Stockhammer Christoph Stockhammer is an application engineer at MathWorks, focusing on AI use cases. Christoph holds a Master's in Mathematics from the... 더 읽어보기 >>

Less Typing, More Creating: MATLAB Copilot Comes to Your Android Phone

Guest Co-author: Tharikaa Ramesh Kumar, PhD Tharikaa is the Product Manager for MATLAB Mobile. She holds a PhD in Aerospace Engineering from Auburn University, where she taught... 더 읽어보기 >>

Advanced Battery State of Charge Estimation with AI

Guest writer: Riccardo Di Dio Riccardo Di Dio is an Industrial PhD Candidate sharing his time between the University of Pisa and Marelli, working on artificial intelligence... 더 읽어보기 >>

Automate the Documentation of Your MATLAB Analysis with Agentic AI 2

Co-author: Rohan Amarapurkar Rohan Amarapurkar is the product manager for the MATLAB Desktop and Editor. Rohan holds a Master's in Electrical Engineering from USC and previously... 더 읽어보기 >>

Building an Optimization Agent with MATLAB MCP Core Server

Co-author: Tom Couture Tom Couture is the Product Manager for Optimization. In this blog post, he joins me to demonstrates how to use the new MATLAB MCP Core Server to build... 더 읽어보기 >>

Giving Local AI Agents the ability to use MATLAB with MCP

Guest writer: Abhijit Bhattacharjee Abhijit is an application engineer at MathWorks and an expert in AI. He supports customers with the latest and greatest technologies in the... 더 읽어보기 >>

Reinforcement Learning on Hardware, explained by Brian Douglas

Co-author: Brian Douglas Brian is a Technical Content Creator at MathWorks and control engineer with over 20 years of experience in the field, and a passion for sharing his knowledge... 더 읽어보기 >>

Antigravity + MATLAB is wicked good 2

Google released a new agentic development environment called Antigravity. And it works great with MATLAB. (It's wicked as they say in Boston!) If you are looking to defy gravity, here is a fun... 더 읽어보기 >>

Winning a Predictive Maintenance Data Challenge with Engineering Expertise

Co-author: Peeyush Pankaj Peeyush Pankaj is an application engineer at MathWorks with a strong Aerospace background and deep domain expertise in vibrations and mechanical systems (engine... 더 읽어보기 >>

MATLAB MCP Core Server Update: Bringing Your Coding Guidelines Directly to AI

Last month, we announced the release of the MATLAB Model Context Protocol (MCP) Core Server, opening a new bridge between MATLAB and the next generation of AI agents. The response has been... 더 읽어보기 >>

Posts 1 - 10 of 187

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