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SEMILAB’s Metrology Breakthrough: Optimizing Metal Needle-Glass Interactions with COMSOL Multiphysics

SEMILAB tackles the complexities of inspecting metal probe’s condition through interactions with glass. The results are a successful correlation between simulated and measured results, improving measurement arrangements by offering a streamlined and cost-effective solution for semiconductor manufacturers.
Reduced Order Modeling Based on Neural Networks

Learn about Reduced Order Modeling (ROM), how it can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB
Quantization Noise: What Is It, And Why Should You Care?

Explore the world of quantization noise and its significance in this blog. Learn how to handle finite word-length arithmetic with fixed- and floating-point approaches.
MATLAB and Simulink for Artificial Intelligence

Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.
Excitation Signals for Identification of Dynamic Systems

Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.
FBMC – An Ever-Promising Candidate for 5G Technologies and Beyond

In this blog, we discuss the newest solution for improving the signal processing of FBMC receivers. Explore the newest solution for improving the signal processing of FBMC receivers, including efficient implementation strategies and receiver structure enhancements. Discover new insights and alternative signal processing solutions that promise enhanced performance and reduced complexity for these crucial systems.
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

Explore how MATLAB transforms the world of machine learning. Discover 5 areas where MATLAB can help solve diverse learning problems. From interactive apps to Simulink integration, we’ve got you covered.