Renesas Blog

To facilitate the tedious task of designing AI solutions from scratch, Renesas proposes RZ/V MPU AI Apps, AI applications that can be easily implemented without AI training.

We will introduce a solution that resolves problems in the development of software in an environment which requires the coordinated operation of multiple devices.

As the automotive industry is challenged to introduce software-defined vehicles (SDVs), it is crucial to have a low-cost and easy-to-use development environment for rapid software development.

To meet the automotive MCU market needs in the evolution of E/E architectures, the RH850/F1KM-S2 covers application area between the RH850/F1K and the RH850/F1KM-S4 to expand users’ choice.

Takeshi Kataoka, Senior Vice President, Co-General Manager of High Performance Computing, Analog and Power Solutions Group, was invited as a guest speaker to the COMPUTEX & InnoVEX 2023.

Blog discussing Renesas’ AI offerings after integrating Reality AI software tools.

The electrification of automobiles is rapidly progressing around the world. In this blog, we will introduce the market and technology trends of electric vehicle (EV) charging stations.

Among several types of DNN simulators we provide for R-Car SoC, we will focus on Accurate Simulator, which reproduces operations equivalent to those on actual devices, and explain how to apply it to network analysis and accuracy improvement.

Introduces Renesas' efforts to optimize performance, circuit size and power consumption of accelerators for deep neural networks used in AI processing in SoCs for AD and ADAS in the early design stage.

The importance of quality and reliability in the context of embedded designs cannot be overstated. Read an overview highlighting the decades of Renesas commitment to building quality into our MCU design from concept through production.