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.
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.
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
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.
We are introducing the history and future of the software suite for the 32-bit MCU RX to enable development with low-code/no-code. The 9th blog introduces the latest provisioning method for IoT devices.
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.
For the first time in the entry-level microcontrollers of the RX family, a CAN controller has been integrated. This enables the reduction of power consumption and cost in CAN bus applications
