How are autonomous microcontroller unit peripherals utilized in edge applications?
While edge computing devices are designed with limited onboard resources, embedded developers explore various techniques to reduce power consumption. Despite…
microcontroller
Arm announces a power efficient Cortex-M processor with Helium technology
Arm has introduced the Cortex-M52 processor to meet the increasing need for AI-enabled IoT embedded devices adaptable across different regions….
Infineon, Edge Impulse partner to enhance microcontrollers for edge AI
Infineon Technologies AG has partnered with Edge Impulse to enhance the development tools for creating and deploying machine learning models…
STMicroelectronics introduces new tools for edge AI development
STMicroelectronics has expanded its edge AI products by introducing the STM32Cube.AI developer cloud. This online development platform aims to accelerate…
ITTIA launches time series embedded database that supports FreeRTOS operating system
ITTIA, a provider of time series embedded data management software for microcontrollers and microprocessors, has announced the launch of ITTIA…
Luos expands support for edge devices with ESP32 microcontroller family
Luos, an open-source software maker for edge and embedded distributed systems, has announced support for its open-source IoT development platform’s…
Ambiq accelerates design of intelligent edge devices at new Technology Design Center in Singapore
Texas headquartered Ambiq, known for developing battery-powered endpoint devices, has announced the expansion of its semiconductor solutions through its new…
MIT researchers enable local compute on edge devices using MCUs
Two research groups at MIT have discovered a way of reducing memory usage on edge devices using microcontroller units (MCUs)….
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Deploying AI Models at the Edge
