Explore model-based design with MathWorks hardware support packages, enabling code generation, processor-in-the-loop verification, and one-click deployment on Renesas RA and RH850 MCUs.
Learn how embedded edge AI enables smart e-bikes with predictive maintenance, safer rides, and intelligent assistance using Renesas' AIK-RA8D1 AI Kit Development Platform and Reality AI Tools.
Smart locks are surging as demand grows for secure, convenient, keyless access, biometrics, and smart home integration, raising expectations while creating new technical challenges for manufacturers.
Centralized motor control increases software complexity, hardware compromises, and system cost. Learn how the RX14T enables a distributed, modular approach with built‑in analog functions that reduce the BOM and simplify design.
AI data centers demand higher, dynamic power. Shifting to GaN technology boosts efficiency, shrinks hardware, and supports rapidly scaling accelerator workloads.
Discover how Renesas Edge AI processors and complete platform solutions quietly make industrial systems smarter, more reliable, and energy efficient in the factories that power everyday life.
With continued unprecedented surges in power demand, designers are turning to GaN and its superior properties. Learn about the fastest/smallest power switches designed to accelerate this revolution.
Learn how Renesas provides silicon for reference designs to accelerate the development of ultra-fast edge AI arc-fault detection for solar inverters, EV charging, battery energy storage systems, and industrial power.
Learn how the RA0E3 MCU, the most cost-effective device in the Renesas RA Family, makes it easy to add functions to customers' existing systems.
Scooters, e-bikes, and compact EVs need clear, connected dashboards with scalable TFT clusters for smartphone‑like clarity and efficiency. Using Renesas MCU-based solutions accelerates your designs.