The Trend of Deep Learning Architecture in Next Generation Autonomous Driving Cars
In this blog, we explain the trend of deep learning architecture in the next generation of autonomous driving cars.
In this blog, we explain the trend of deep learning architecture in the next generation of autonomous driving cars.
This solution demonstrates a single motor technique (120-degree/trapezoidal) for BLDC motor control using the Renesas RX13T 32-bit MCU for motor control.
In this blog post, we will talk about some technical details of Cat M1 and why it will be worth considering when implementing future IoT initiatives, from medium to large-scale projects.
This blog presents the benefits of Renesas’ Remote Industrial Process Monitoring System Solution.
Renesas, along with our board partners, delivers RZ/G2E system-on-module (SoM) solutions to reduce your product development time.
The RX MCU with Trusted Secure IP (TSIP) and Edge Trust security service by Ubiquitous AI Corporation can realize secure IoT service for IoT edge devices.
The RZ/G2 microprocessor comes with a wide range of CPU scalability and pin compatibility, which makes it easy to expand your product portfolio and get to market faster by leveraging partner boards.
The 16-bit RL78/G14 MCU with FreeRTOS will realize connection to AWS and make IoT endpoint devices connect to the cloud safely and easily.
Learn how easy it is to find the right MCU from the wide Renesas line-up using the MCU Guide app on your smartphone.
By installing the QE for Display development assistance tool as a plug-in for the e2 studio integrated development environment (IDE), a project with a GUI can be set up in 10 minutes.