Schindler Automates Physical Model Verification Framework Using Simulink Test

Jan 2020

Schindler developed an automated test framework called Models’ Automated Test Harnesses (MATHS) using Simulink Test™ to perform system-level and model-in-theloop (MIL) tests for subsystem components. With Simulink Test, Schindler engineers can create test harnesses and write corresponding test cases. 

IDNEO Develops AUTOSAR Components Using Agile Model-Based Design

Jan 2020

IDNEO has been using Model-Based Design for four years, which has led to significant business improvements. When their customers also use Simulink®, ambiguities in requirements are avoided and development time can be cut in half.

What Is int8 Quantization and Why Is It Popular for Deep Neural Networks?

Oct 2019

By Ram Cherukuri, MathWorks

int8 quantization has become a popular approach for such optimizations not only for machine learning frameworks like TensorFlow and PyTorch but also for hardware toolchains like NVIDIA® TensorRT and Xilinx® DNNDK—mainly because int8 uses 8-bit integers instead of floating-point numbers and integer math instead of floating-point math, reducing both memory and computing requirements.

Third-Party Products: Solutions for Developing Wireless Systems with MATLAB and Simulink

Oct 2019

By Mathworks Staff

Wireless hardware platforms integrated with MATLAB® and Simulink® enable engineers, hobbyists, and students to move from theory to prototyping designs and deploying production systems. 

Reinforcement Learning: A Brief Guide

Sep 219

By Emmanouil Tzorakoleftherakis, MathWorks

Reinforcement learning has the potential to solve tough decision-making problems in many applications, including industrial automation, autonomous driving, video game playing, and robotics. 

Predictive Maintenance Using a Digital Twin

May 2019

By Steve Miller, MathWorks

When industrial equipment breaks, the resulting problem often is not the cost of replacing that equipment but the forced downtime. A production line standing still may mean thousands of dollars lost every minute. Performing regular maintenance can help avoid unplanned downtime, but it does not guarantee that equipment will not fail.

Modeling and Simulating Battery Performance for Design Optimization

Feb 2019

By Cecilia Wang, Romeo Power

Reinforcement learning has the potential to solve tough decision-making problems in many applications, including industrial automation, autonomous driving, video game playing, and robotics.