Renesas Blog

RZ/T2N helps simplify increasingly complex robot control systems by consolidating real-time control, networking, and application processing into a single chip.

Renesas and Canonical are expanding edge AI innovation with Ubuntu 26.04 LTS, AI snap, and DRP-AI acceleration, enabling faster development and scalable deployment across the RZ family.

Many modern designs still benefit from the efficiency of 16-bit MCU architectures. Learn how RL78/G21 and RL78/G23 deliver low power consumption, optimized system cost, and scalable solutions for modern smart appliance designs.

Discover how the RX74M and RX74N MCUs bring real-time performance, control and communication, and built-in security together to help streamline development.

Learn how knowledge distillation converts AI-derived behavior into compact decision rules that configurable mixed-signal hardware can execute at the industrial edge.

As mechanical fallback disappears, automotive safety depends on precise position data. Learn how inductive position sensing enables functional safety, cyber resilience, and trust in x-by-wire systems.

Learn how the Renesas modular IO-Link platform helps sensor and actuator manufacturers lower development costs, reduce risk, and accelerate time to market.

Discover how a low-voltage Renesas REXGaN^® transistor can improve efficiency and thermal performance in 48V to 12V converters, enabling higher switching frequencies and smaller passive components.

Explore how functional safety and intelligent video monitoring are enabling safer, more sophisticated HUD and AR-HUD experiences.

Use case for upgrading a next-generation electrocardiograph to the Renesas RZ/G2L with Qt, replacing an aging existing platform. The result was improved CPU performance and GPU acceleration, while providing a clear upgrade path to the AI-enabled RZ/G3E.