瑞萨博客

在这篇博客中，我将介绍如何使用Chat-GPT和与Arduino兼容的RL78板进行AI编程，以及其实际应用示例。

With the ubiquity of wireless connectivity options on IoT devices, connection to the cloud has become more flexible than ever. Traditionally, Wi-Fi has been the most popular choice in the IoT world although this has changed in recent years with the huge strides made in cellular networks. However, there is no right answer for which option would be the best or the more efficient between the two.

The type of network connection to use depends on several factors that affect solution development.

The AIoT has been enabled by higher MCU compute capability and thin neural network models that are more suited for edge and end point devices than traditional CPUs and MPUs.

Introduction to Renesas solutions for smart agriculture

Blog discussing Renesas’ memory interface solutions

We’ll create a digital angle meter using the RL78/G15 Fast Prototyping Board. The data from the gyro sensor will be converted into angles and displayed on the LCD.

By using the standalone version of QE for Capacitive Touch, you can develop capacitive touch applications even with IAR's EWRX IDE.

Introducing the RZBoard V2L, a small single-board computer that enables easy Vision-AI trial with the RZ/V2L MPU.

工业现场通信（IFC）是工业数字化转型的关键，它促进了数据共享和实时决策，从而提升了效率和生产率。

How to implement standalone interior monitoring ranging from a single IR sensor for strictly minimum mandatory features up to multiple sensors with premium features.