Munich, Germany and Natick, MA –MathWorks and Infineon Technologies AG announced that Infineon’s latest AURIX™ TC4x family of automotive microcontrollers now feature hardware support for the MathWorks Simulink® products.

On this episode of Embedded Insiders, we’re joined by Paul Butcher, Senior Software Engineer at AdaCore, to discuss how AI can make fuzz testing even more robust through the integration of techniques like symbolic execution and input-to-state correspondence that optimize test data sets against scenarios a system might encounter in the real world

The second article in our metaverse series focuses on defining the industrial metaverse, its building blocks, parallels with model-based systems engineering (MBSE), and examples of how modeling and simulation are being used to empower digital twin ecosystems.

MathWorks introduced Release 2022a of the MATLAB and Simulink product families. Release 2022a (R2022a) offers hundreds of new and updated features and functions in MATLAB and Simulink, along with five new products and 11 major updates

Real-time data is everywhere, generated by sensors that are embedded within a diverse range of technologies including automated vehicles, manufacturing equipment, and medical devices. But what does “real-time” really mean for engineering decisions, and more importantly, how is real-time data used?

There are many applications that require real-time interactions. Automotive certainly fits into that category. But the term “real time” is bothersome to me, as it’s not something that’s achievable.

AI offers a number of new applications for engineers in the manufacturing industry. In order to provide full value, the AI model needs to be integrated into the whole manufacturing process, which is running nonstop, seven days a week.