
Key Advantages of Using Speedgoat Target Hardware with Simulink
In this blog, we discuss the benefits of the interactive real-time testing workflow using Simulink together with Speedgoat testing solutions.
Semiconductors are one of the most critical components of today’s new wave of creative technology. It is used in almost all modern electronic devices that enable connectivity, from medical gadgets and self-driving cars to mixed reality and the Internet of Things (IoT). Although the semiconductor industry appears to have a prosperous future, no one can predict where it’s headed. The way it develops depends on various factors and will inevitably present fresh challenges to the engineering community.
Engineers working on Semiconductors and Electronics use MathWorks® and COMSOL® products in various ways, from designing algorithms to Implementation and Validation.
MATLAB® and Simulink® provide engineers an easy way to collaborate and define, analyze, simulate, and test complex multidomain systems using a variety of modeling approaches and levels of abstraction.
The Semiconductor Module of COMSOL Multiphysics® provides engineers with dedicated tools to analyze semiconductor device behavior at the fundamental physics level. In addition, the semiconductor module enables engineers to involve multiple physical effects easily when developing models.
Stay up to date with the industry's latest trends and learn the best pactices to innovate and optimize your engineering designs.
In this blog, we discuss the benefits of the interactive real-time testing workflow using Simulink together with Speedgoat testing solutions.
Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.
MATLAB and Simulink enable engineers to design, simulate, and deploy AI algorithms, models, and AI-driven systems.
New method for achieving a lower Crest Factor (CF)
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
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
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?