瑞萨博客

Bias in a technical, statistical sense can be a good thing – or at least a useful thing – so long as you recognize it, understand the effect it has and manage it.

This post offers tips on collecting data from high-sample-rate sensors for use with machine learning.

Machine learning projects can be successful through understanding ground truth, curating the data and not overtraining a machine learning model.

2022 年 9 月，瑞萨发布了客户与合作伙伴之间的直接沟通工具。客户可从 R-Car 联盟合作伙伴获取高水平解决方案建议，旨在解决客户难题并加速汽车开发。

In this blog, we will present our work on solutions to facilitate the creation of remote development environments used in in-vehicle software development.

通过瑞萨汽车用 16 位微控制器 RL78 安全解决方案（免费样例软件、瑞萨安全解决方案入门套件），助力高效开发！

We discuss the uniqueness of AI/ML tools when considering safety, give an overview of what are the AI/ML tools, how they contribute to ADAS/AD development, and explore the challenges in ensuring confidence in use of AI/ML software tools.

AI-MPU RZ/V2MA is newly added on Renesas RZ/V series lineup. I would like to introduce this AI MPU’s three major use cases.

展会中瑞萨展示了 MCU,SOC，成长性的电源和模拟产品，为奇瑞在国内国际市场开拓疆土提供多样化的供应和稳定的质量助力。

The new RAA2S425x Family of ICs for automotive pressure sensing systems provide highly accurate amplification and sensor-specific correction of signals in automotive xEV/PHEV/FCEV and BEV pressure sensing braking, transmission and HVAC systems.