瑞萨博客

本文介绍了 Embedded Target for RH850 Virtual Platform，这是一种基于模型的开发环境，有助于早期验证并缩短开发周期。

全球领先的半导体解决方案供应商瑞萨电子，与专注于自动驾驶领域系统解决方案供应商知行科技，于11月8日在苏州举行了战略合作框架协议签约。

瑞萨电子于11月2日在吉利汽车杭州湾研发中心举办技术交流活动，并与吉利团队分享了瑞萨在汽车电子领域的先进产品和解决方案。

In this blog, the RH850 Virtual Platform (VPF) function to improve the safety and quality of automotive software is introduced.

本文介绍了多设备同步调试和跟踪工具（已于 2022 年 9 月推出），可实现同步运行、中断控制并获取多个 SoC 和 MCU 的跟踪信息。

Software is becoming the new sensor. This shift in thinking opens the door to incorporating more complex, AI-based algorithms, rather than just simple condition thresholds.

Relying only on high-level descriptive statistics rather than time and frequency domains will miss anomalies, fail to detect signatures and sacrifice value that an implementation could potentially deliver.

Real-time streaming data must be carved into smaller windows for consideration by a machine learning model, how that stream is carved up can have an impact on model performance and power consumption.

As sensor and MCU costs decreased, an ever-increasing number of organizations have attempted to exploit this by adding sensor-driven embedded AI to their products.

The more sophisticated machine learning tools that are optimized for signal problems and embedded deployment can cut months, or even years, from an R&D cycle.