Developers struggle with how to manage the power in their end devices. There’s obviously a tradeoff between performance and how much/how long to keep components powered up. It’s obviously application-specific, but it’s important to make the right decision.

Infineon extends microcontroller portfolio with PSoC™ Edge family of products, bringing high-performance power-efficient machine learning to the edge.

We talk about security a lot here at Embedded Computing Design. If it’s not the number one subject, it’s certainly in the top three.

Infineon Technologies has announced a new family of microcontrollers (MCUs) in the PSoC™ portfolio of Arm® Cortex®-based high performance, low-power, secured devices that addresses the next wave of Machine learning enabled IoT applications.

Infineon recently held its annual OktoberTech event, where it showcased the company’s vast array of technologies as well as those of its customers. Embedded Computing Design’s Rich Nass sat down with Infineon Americas President Maher Matta to discuss things like sustainability, how to deal with such a wide range of products, and the need for an event like OktoberTech.

The electrical/electronics (EE) architecture of mass market automobiles is evolving rapidly to meet requirements for seamless connectivity, upgradable software, network and vehicle wide security, and management of increasing complexity, all while reducing design cycle time and offsetting higher computing costs by easing system integration. It’s a big task list, and the key to success is movement from traditional distributed control networks to a zonal architecture based on Central Computer Systems.

Electromobility is the foundation for environmentally responsible and sustainable mobility. However, making electromobility successful requires not only an electrified car, but also the supporting ecosystem and charging infrastructure based on renewable energy, as well as carbon-neutral car manufacturing.