MATLAB and Simulink for Artificial Intelligence
MATLAB and Simulink enable engineers to design, simulate, and deploy AI algorithms, models, and AI-driven systems.
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Excitation Signals for Identification of Dynamic Systems
New method for achieving a lower Crest Factor (CF)
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Motor Control Design with Simulink
Reduce motor control development time by using simulation models to design and verify control algorithms and deploy those algorithms to hardware using automatic code generation
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Deep Learning for Images Classification
Image recognition is a computer vision technique that allows machines to extract, process, and classify information from images and videos.
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10 Ways to Speed Up Power Conversion Control Design with Simulink
10 proven ways to improve the power conversion control design process using system-level simulations in Simulink
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Battery Management Systems Development with Simulink and Model-Based Design
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
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Power Electronics Control Design
Design, simulate and implement digital control for motors, power converters, and battery systems with Power Electronics Control Design
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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?
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Machine Learning with MATLAB
Learn about MATLAB support for machine learning so you can train your models, tune parameters, and deploy it to production.
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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.