TOKYO--(BUSINESS WIRE)--Toshiba Electronic Devices & Storage Corporation (“Toshiba”), as a Silicon Partner of Mbed (a device management solution for IoT platforms developed by Arm Ltd), acquired the ...

RA MCU Family Combines Advanced Security, Connectivity, HMI with Flexible Software Package and Comprehensive Partner Ecosystem TOKYO--(BUSINESS WIRE)-- Renesas Electronics Corporation (TSE:6723), a ...

Atmel® Corporation , a leader in microcontroller and touch technology solutions, announced sampling of the Atmel SAM4S16, the first device in the Cortex™-M4 processor-based family, to lead customers.

An increasing number of vendors offer 32-bit microcontrollers based on ARM® Cortex®-M processors, and at the same time, there are also new development environments introduced for these microcontroller ...

STMicroelectronics is now delivering the first samples of its new STM32 F3 series of microcontrollers to major OEM customers, enabling early evaluation of this important new line in ST's product ...

The M3H Group is based on the global standard Arm Cortex-M3 core designed for motor control and to meet diverse requirements for consumer and industrial equipment. Operation frequency is up to 40MHz ...

I like to think I write good code, and I’ve used C and C++ almost since their inception. I admit to incorporating more than one unwanted bug into C applications that were eliminated after sometimes ...

CHANDLER, Ariz., Jan. 29, 2026 (GLOBE NEWSWIRE) -- Building on decades of experience in serving embedded applications where low power, affordability and ease of development are critical, Microchip ...

CMSIS-NN is an open-source library of optimized software kernels that maximize NN performance on Cortex-M cores with minimal memory footprint overhead. Machine learning (ML) algorithms are moving to ...

A lack of standards in the tiny chips embedded in devices has hampered development and pushed up costs, but that state of affairs is changing, says Reinhard Keil. Smart metering will soon be ...

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there ...