Renesas Blog

Read how Renesas uses Edge AI to detect BLDC motor startup anomalies via sensorless control and enhance reliability.

Explore the facial recognition solution developed by Aizip and Renesas for edge devices and IoT. Runs entirely on-device without cloud connectivity, and supports up to 100 users with minimal MCU memory.

Programmable Clocks Live Bench Measurement tool provides simple and fast evaluation of flagship Renesas timing families.

Discover how the RA2L2 ultra-low power, cost-effective entry-level USB MCU is equipped with a USB Type-C interface module and a wide range of serial interfaces, providing an ideal solution for low-power applications.

Renesas' new low-end motor control ASSP MCUs in the RA family provide functions optimized for single motor control on a single chip to meet customers' development needs for higher performance and compact size in next-generation projects.

In our 2024 Business & Sustainability Report, Renesas showcased several milestones along the journey to enhancing our environmental stewardship and sustainable growth strategies.

Learn how Renesas' Reality AI™ Utilities Solution Toolkit enables quick development of end-to-end embedded AI applications.

Market demands for higher efficiency, density, and reliability in power delivery are driving the need for semiconductor innovation. Read how Renesas GaN is best suited to meet the requirements of high-performance systems.

Learn how Renesas' first AI-accelerated RA8P1 MCU provides excellent AI performance with outstanding power efficiency; and how you can accelerate your development with the RUHMI Framework.

Robots powered by AI and machine learning are thriving in cities, delivering goods. Renesas showcases a prototype e-delivery robot, enhancing autonomy, maintenance, and delivery time with AI solutions.