Renesas Electronics Launches Touch-Free UI Solutions with Capacitive Touch-Key Microcontrollers For 2D/3D Gesture Control
Reference Designs Simplify 2D/3D User Interface Development for Home Appliances, Industrial Equipment
Reference Designs Simplify 2D/3D User Interface Development for Home Appliances, Industrial Equipment
With Redpine Signals’ RS14100 WiSeMCUTM family, Rutronik distributes the first Wireless Secure MCUs featuring a…
Microchip announces the space industry’s first Arm®-based microcontrollers (MCUs) that combine the low-cost and large…
PLS’s debug tools for next-generation car architectures
Provides Complete Industrial Functional Safety Support, Including Mutual Fault Diagnosis for Dual-Microcontroller Structure and Function that Isolates Multiple Software Applications
The nRF52811 from Nordic Semiconductor is a multiprotocol SoC (System-on-Chip) and one of the first…
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…