Tag: Edge Computing
InferSens launched a battery-powered sensor with a neural decision processor for industrial applications
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...
Continue ReadingArduino Cloud gets a feature called phone device to enable a quick out-of-the-box experience with the platform
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...
Continue ReadingNordic Thingy:53 gets the Edge Impulse firmware for rapid IoT prototyping
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...
Continue ReadingBIVROST Lite5 mini-STX platform provides up to 96GB RAM for edge computing and machine vision applications
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...
Continue ReadingM5Stamp C3U IoT Module Incorporates RISC-V-based ESP32-C3 Microcontroller
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...
Continue ReadingCodasip announces two RISC-V-based embedded cores for AI/ML edge customizations
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...
Continue ReadingAspinity AnalogML Core with Neuromorphic Computing Architecture for Low-power edge processing
Aspinity's analogML core features the improved capabilities of a tinyML chip with low-power analog neuromorphic computing architecture– with a system-level approach to low-power edge processing. Without making use of power-hungry digitization and digital processors, the analogML core...
Continue ReadingEnergous partners with Syntiant for Wireless Charging of Always-on Edge AI Processors
Wireless power network provider, Energous Corporation, has revealed its association with Syntiant, to develop Energous’ WattUp wireless power network technology with Syntiant’s Neural Decision Processors (NDPs) for edge artificial intelligence deployments across a wide range of...
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