MathWorksNews&Notes

MATLAB^®and Simulink^®激励并启动你的故事和文章Projects

AI APPLICATIONS

4 Proven Applications for Your AI Algorithms

virtual lab

Virtualizing Electrical Engineering Teaching Labs

climate change

Developing Climate Change Mitigation Technologies

Top 7 Use Cases for Electric Vehicle Simulation

See how simulation models let you explore design tradeoffs rapidly, without risk, and at every stage of development.

Read article

Automotive

Using Deep Learning Networks to Estimate NO_XEmissions

digital twin

How PLC-Based Controls and a Digital Twin Sped Up Vessel Commissioning

digital health

AI Modeling Technique from the Automotive Industry Improves Eye Surgery Results

electric vehicles

Wirelessly Charging McLaren’s Fastest Road Car Ever

power electronics

6-Step Workflow: Estimating the Frequency Response of a Boost Converter

HARDWARE-IN-THE-LOOP

Testing Shipboard Power Electronics Systems

”With Simulink, Simscape, and HDL Coder, we can develop plant models and deploy them directly to an FPGA for HIL tests; it’s a no-nonsense, no-compromise way to simulate large-scale power electronics systems.”
Henry Brengel, Leonardo DRS

How Did AI Unveil the Secret of Ancient Artifacts?

A team of University of Cambridge mathematicians is using artificial intelligence to restore art including illuminated manuscripts, ancient pottery, and paintings.

Read story

”Using virtual and mathematical methods allows you to keep the [illuminated manuscript] as it is and retain that history, and offers a restored, pristine version of what it might have looked like. It gives you the opportunity to have the best of both worlds.” - Suzanne Reynolds, curator at the Fitzwilliam Museum

biomechanics research

Creating Artificial Cilia for Next-Generation Microfluidic Devices

SEMICONDUCTORS

Post-Correcting ADC Errors with Neural Networks

”When implemented on an ASIC, the network requires just 15% of the area of the ADC while consuming roughly 16 times less power under normal operating conditions.”
Robert van Veldhoven, NXP Eindhoven

covid-19

Scientists and Engineers Battling the COVID-19 Pandemic

MACHINE LEARNING

Developing a Virtual Power Plant to Generate Renewable Energy Forecasts

”MATLAB enabled our small group to rapidly develop innovative software from our initial concept to production. We would not have been successful without the state-of-the-art deep learning and optimization capabilities it provides.”
Seungyup Baek, VGEN