32-bit

Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, today extended its high integration Renesas Synergy™ S5 microcontroller (MCU) series with the introduction of the entry-level S5D3 MCU Group. The four new S5D3 MCUs join the mid-range S5D5 and high-end S5D9 MCU Groups with similar S5 Series features—integrated 120 MHz Arm® Cortex®-M4 core and […]

Many promises of great value are currently linked to machine learning or self-learning algorithms. Big data and great computing power are required to see them come to fruition. For sensor applications in predictive maintenance, an ARM®-based microcontroller may be sufficient to implement AI algorithms. This has been demonstrated by Andreas Mangler, Director Strategic Marketing & Communications at Rutronik, together with his engineering team.

Embedded Artificial Intelligence (e-AI) Technology The evolution of artificial intelligence (AI) technologies such as machine learning and deep learning has been remarkable in recent years. The range of applications is rapidly expanding from cloud centric applications mainly focused on the IT field to the embedded systems market. AI enables embedded devices to dynamically react and […]

Securing a microcontroller-based application for the IoT can be tricky. Security starts at the hardware level and then scales into the embedded software. To successfully secure the software, developers require that the underlying hardware support critical features such as: • Secure boot • Memory protection • Cryptographic engine accelerators • True random number generator (TRG) […]

To expand the use of embedded artificial intelligence solutions (e-AI) for high-end applications, Renesas Electronics has developed the new RZ/A2M-MPU. It provides real-time image processing and is suitable for mobile applications thanks to its low energy consumption. Samples of the microprocessor are available on www.Rutronik24.com. In comparison to the previous model RZ/A1, the new MPU […]

Win a Microchip MPLAB PICkit™ 4 In-Circuit Debugger (PG164140) from Electronica Azi International.

New 32-Bit MCUs Support Circuit Boards in High-Temperature Locations and Compact Circuit Board Design in Space-Constrained Home Appliances and Industrial Machinery

e-AI Development Environment Makes it Easy to Add Abnormality-Detection AI Functionality to RX66T Motor Control MCU for Failure Detection and Predictive Maintenance

Amazon FreeRTOS on Amazon Web Services-Qualified RX65N MCUs Simplifies Secure Internet of Things Device-to-Cloud Connectivity

First MCUs Incorporating Third-Generation RXv3 CPU Core Deliver Dramatic Performance Boost for Enhanced System Integration and Superior Motor Fault Prediction in Motor-Control Applications with Embedded AI