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.
RZ/G3L and RZ/G3SE MPUs enable scalable HMI and IoT edge designs with common hardware and software assets and optimized performance.
Learn how system-level design, digital tools, and ecosystem collaboration are helping engineers tackle humanoid robotics complexity in the physical AI era.
Renesas' 2025 Business & Sustainability Report details progress toward carbon neutrality, resource conservation, and responsible business practices.
Renesas is expanding analog innovation through configurable technologies, digital design tools, and system-level expertise to help engineers build smarter, more integrated systems across industries.
AI infrastructure is evolving beyond xPUs alone. The next phase will be shaped by power, memory, and control. Explore the infrastructure shifts driving AI's next growth phase.
As new UL 217/268 policies demand smarter, more efficient smoke detectors, Renesas helps reduce false alarms, extend battery life, and meet standards with fewer, low-power components.
Explore how humanoid robotics is accelerating innovation in physical AI, why edge intelligence matters, and how Renesas is enabling smarter, safer robots through sensing, motion, power, and control systems.
From platform capability to in-vehicle proof-of-concept, learn how the R-Car X5 SoC and RoX SDK are ready for scalable end-to-end ADAS deployment in modern market needs.
Detect subtle belt tears using only inverter current/voltage signals. A 98% accurate, TinyML model enables real-time, embedded fault detection and predictive maintenance using the MCK-RA6T2 Motor Control Kit and Reality AI Tools.