Renesas Blog

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.

In this blog we demonstrate Edge AI solutions for the kinds of real engineering problems that our customers use Reality AI software for every day, running on real hardware they might actually deploy.

Are you facing difficulties meeting functional safety requirements in your automotive system development? If so, I would like to introduce you to our functional safety system solution for xEV inverter applications that simplifies implementation and shortens the development time.

Introducing RZ/N2L, a companion chip for industrial Ethernet and TSN with hassle-free, easy connectivity and rich peripheral functions.

RX23E-A RSSK has started its support for Lab on the Cloud. You can evaluate the noise performance of a high-precision delta-sigma ADC built in the RX23E-A online.

The endpoint describes any Device that is physically at the end of any point in the network. While applying AI at the endpoint can have many benefits, securing it can be difficult. The fact that endpoints are considered the entrance to IoT systems, makes them very attractive targets for hackers. Thus, security principles have to be incorporated into the architectural design process of IoT systems.