瑞萨博客

本博客介绍了适合双电机+ PFC控制的新型RX微控制器RX26T。

在瑞萨提供的R-Car SoC相关的一些 DNN模拟器中，本文将重点介绍能够实现与实际硬件等价运算的Accurate Simulator，并说明如何应用它来分析和提高神经网络的精度。

This series of blogs (in three parts) discusses how noise can affect a microcontroller system and provides design ideas on how a microcontroller system can be made more robust in the presence of noise.

本解决方案使您能够用所有RX家族单片机实现对SPI连接TFT LCD模块的控制。用更少的硬件资源实现更复杂的HMI。

The e-AI Translator v3.0.0 has been released. This release supports the 3D shape function and RNN function used in signal processing and regression models.

Introduction to RZ/V AI applications that can be easily implemented without AI training

本文介绍了瑞萨在早期设计阶段针对自动驾驶（AD）和高级驾驶辅助系统（ADAS）的SoC中用于AI处理的深度神经网络 （DNN）加速器的性能、电路尺寸和功耗的工作内容。

本系列将分期介绍瑞萨RX 32位MCU软件组的历史和前景，这一软件组旨在实现低代码和无代码开发应用程序。第九期将介绍物联网设备的最新配置方式。

Using the RL78/G23 microcontroller and the RL78 Fast Prototyping Board, we will create a mole-catching game to showcase how smoothly the development process can go.

An overview of key use cases for RA4T1 and RA6T3 motor control MCUs that enable both high-efficiency and miniaturization of motor applications.