Renesas Blog

This blog gives a basic introduction to the evolution of some of the functional safety standards including how and why they have been introduced.

Endpoint AI transforms IoT devices that are used to compute data into smarter tools that showcase AI features, equipping them with real-time decision-making capabilities and functionalities.

This series introduces the history and the future of the software for the 32-bit RX family MCU, which Renesas has developed and provided to users for developing applications with minimal or no coding. This fifth blog is about a modern approach to software development for the RX family.

Embracing open RAN initiatives, Renesas has joined the movement to enable emerging and existing wireless RAN OEMs with innovative RF, timing, power management, optical, and low-power edge AI solutions.

Imagine the challenge created by managing the power requirements of a data center with hundreds of servers, each of which may have thousands of multi-core processors that draw hundreds of amps per core and must be turned on and off in a matter of nanoseconds. All of that means the corresponding power solutions have to be agile, versatile and scalable. Renesas’ digital power technologies are the solution.

車載レーダーのシステム構成としてR-Carを活用したセントラル構成を推進します。自動車の全方位のレーダーデータを集中処理する構成が、自動運転の機能レベル向上につながります。

In this blog, we describe the important parameters in evaluating TinyML systems, explaining the correlation between the metrics and the current industry benchmark standards for TinyML

瑞萨电子于8月17日在福瑞泰克杭州总部举办了技术研讨会，并与福瑞泰克研发团队分享了ADAS/AD方面的产品和解决方案。

An overview of how Renesas’ Voice User Interface solutions for the edge and endpoint can help you easily add voice commands to your next IoT design

For almost a decade, Renesas has been an active member of several functional safety working groups and has strongly contributed to relevant functional safety standards.