Tag: AI

Increased interest in Edge computing in recent times has led to the development of several frameworks to facilitate the deployment of AI/ML models on microcontrollers. There are, however, issues of performance with most of the frameworks as they are mostly scaled-down version of server...

Mobile World Congress Barcelona, the world's largest mobile ecosystem event, returned as hybrid event this year, providing the world an opportunity to explore ground-breaking innovations and the latest trend in the mobile world. Fibocom, a global leading provider of IoT (Internet of...

We have seen several edge servers by Compulab and AAEON that were specially designed for high-performance industrial computing applications. Seeed Studio has introduced reServer - a compact edge server powered by an 11th Gen Intel Core i3 1115G4 processor and Intel UHD Graphics 48EUs...

We have already seen hardware coming into the market that is specially designed for students and newcomers to develop IoT-based applications. Top embedded device manufacturer Arduino and BBC micro:bit have been in the space of inspiring children and making easy and practical learning....

Lanner’s Edge Computing Appliances, Combined with the Hailo-8™ AI Acceleration Module, Offers the Highest Performance, Lowest Power, and Most Cost-Effective Edge AI Hardware Solutions for Smart Cities, Smart Retail and Industry 4.0 Leading AI (Artificial Intelligence)...

UnitV2 is a high-efficiency AI Camera module, the first M5Stack product that runs on the Linux operating system. The standalone device adopts SigmaStar SSD202D (ARM Cortex-A7 dual-core 1.2GHz) as the core, embedded 128MB DDR3 memory, with 512MB NAND Flash, 1080P camera, 2.4G Wi-Fi and...

If you are working on edge-AI devices then you would’ve considered buying NVIDIA Jetson Xavier NX, which is a best-in-class deep learning-accelerating module claimed to be the world's smallest supercomputer that was released last year. With the increasing implementation of AI-edge...

VisionAI is an embedded solution for image processing with which applications from the fields of AI, Deep Learning and Machine Learning can be easily realised. With its integrated Google Edge TPU, the real-time inference system supports the frameworks TensorFlow Lite and AutoML Vision...