Tag: Edge Computing

Vodafone, one of the leading telecommunications companies in the world, has recently announced the development of a prototype 5G network built on a Raspberry Pi computer. The Raspberry Pi is a low-cost, credit card-sized computer that is commonly used for educational purposes and...

Qualcomm, the leading wireless technology innovator, announced the expansion of its offering by introducing a new suite of products and services called Aware. The new offering aims to simplify and accelerate the implementation of the Internet of Things (IoT) across various industries,...

British on-device deep learning hardware platform manufacturer InferSens has launched a battery-powered ultra-low-power edge deep learning sensor for commercial and industrial applications. The hardware platform uses Syntiant’s NDP120 neural decision processor to enable highly...

Arduino released a cloud platform, Arduino Cloud, that would enable developers and hobbyists to build smart connected projects based on a wide range of electronic hardware products, such as Arduino, ESP32, and even ESP8266. The company understands the entry barriers to using a cloud...

Norwegian embedded device manufacturer Nordic Semiconductor has announced the commercial availability of Nordic Thingy:53, a new addition to the Nordic Thingy family. This multisensor prototyping hardware platform features multiple onboard sensors and robust short-range wireless...

The BIVROST Lite5 STX platform is a 5-inch mini-STX motherboard specifically designed to accommodate the increasing demands of AI/ML, edge computing, and industry 4.0 applications. Lite5 has been built to increase I/O capacity, utilize the capabilities of the unified memory...

Chinese electronic device manufacturer M5Stack unveiled a RISC-V powered M5Stamp C3U IoT module with advanced wireless connectivity for home and industrial automation. For the implementation of IoT projects that are subject to operate at higher temperatures of up to 230℃, the M5Stamp...

Last week, Codasip, known for edge tools and IPs, has announced RISC-V-based embedded cores for AI/ML edge customizations – L31 and L11 RISC-V processor cores. In addition to the existing low-power embedded cores, the L31 and L11 are aimed towards easing the customization process...