Category: AI

Many people seem to be talking a lot about edge computing these days but the fact remains that the word still means different things to different people having different needs within the edge computing space. It happens most times that some applications even require additional...

IBM believes that computing power and AI models have grown exponentially, but the supporting hardware to train them and run them on servers in the cloud or edge devices hasn’t advanced. IBM Research AI Hardware Center has decided to launch an application-specific integrated circuit...

A Chinese manufacturer and designer of electronic hardware devices, Seeed Studio has unveiled a LoRaWAN-capable AI sensor that opens the door to leverage tinyML edge AI smart imaging applications– SenseCAP A1101. As a vision AI sensor, the hardware device is an image recognition...

Useful Sensors has designed a small low-cost hardware module capable of detecting nearby faces and returning information about who they are, how many they are, and where they are with respect to the device. This Person sensor makes use of a camera and a small microcontroller, with...

With the increased amounts of data generated by IoT applications, the scope of integrating AI technologies tends to create some excellent opportunities for handling smart ecosystems. As the computing power of an IoT system decides the compatibility of implementing AI functionalities, it...

Vecow has launched a feature-rich edge AI computing system that guarantees power-efficient AI productivity, flexible integration, and mobile availability: the Vecow EAC-5000. Designed to deliver faster and/or more energy-efficient performance for machine vision and automotive...

Recently, Renesas Electronics Corporation expanded its existing RZ/V family of microprocessors to add a new device that enables AI processing of image data from multiple cameras. This data process offers improved accuracy of image recognition for machine vision AI applications. The new...

Polyn Technology has been providing tinyML solutions with its NASP technology, a neuromorphic analog signal processing, ideal for next-gen sensor-level devices in real-time edge AI applications. The company has now announced the availability of its NeuroVoice AI solution for on-chip...