Develop low-power wireless sensor nodes with the industry’s smallest regulatory-certified sub-GHz module
Microchip announces the industry’s smallest IEEE 802.15.4-compliant module that combines an ultra-low-power microcontroller (MCU) with…
Microchip announces the industry’s smallest IEEE 802.15.4-compliant module that combines an ultra-low-power microcontroller (MCU) with…
Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, today extended its high integration…
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…
Securing a microcontroller-based application for the IoT can be tricky. Security starts at the hardware…
To expand the use of embedded artificial intelligence solutions (e-AI) for high-end applications, Renesas Electronics…
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