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
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.