MATLAB and Simulink for Artificial Intelligence
MATLAB and Simulink enable engineers to design, simulate, and deploy AI algorithms, models, and AI-driven systems.
-
-
Excitation Signals for Identification of Dynamic Systems
New method for achieving a lower Crest Factor (CF)
-
MATLAB Fundamentals
Learn core MATLAB® functionality for data analysis, visualization, modeling, and programming
-
Object-Oriented Programming with MATLAB
Learn how to use object-oriented programming techniques to develop and maintain complex MATLAB® applications
-
MATLAB Programming Techniques
Learn to write efficient, robust, and well-organized code in the MATLAB® language
-
Motor Control Design with Simulink
Motor control algorithms regulate speed, torque, and other performance characteristics, often for precision positioning.
-
Battery Management Systems Development with Simulink and Model-Based Design
Battery management system (BMS) simulation allows you to gain insight into the dynamic behavior of a battery pack, test operational cases, explore software architectures, and perform hardware testing early in the design process.
-
Deep Learning with MATLAB
Today we are living in a renaissance of artificial intelligence, Machine Learning, and Deep Learning, and everyone wants to be a part of this movement. But the question is if you interested in using deep learning technology, where do you begin?
-
Machine Learning with MATLAB
Learn about MATLAB support for machine learning so you can train your models, tune parameters, and deploy it to production.
-
3 Reasons to Take a MATLAB and COMSOL Multiphysics Training Course
Gamax Laboratory Solutions training services offer targeted training curricula to address emerging technologies that can increase workforce productivity and ROI.