In the past few years, deep learning object detection has come a long way, evolving from a patchwork of different components to a single neural network that works efficiently.

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks One of the key components of most deep learning–based ...

Deep tech FOMO is a TinyML neural network for real-time object detection FOMO is a deep learning object detection model that weighs less than 200 kilobytes April 24, 2022 - 8:09 pm ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases. Written by eWEEK content and product ...

A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2022; 1 DOI: 10.1109/TITS.2022.3210490 ...

Machine learning at the edge for AI-enabled multiplexed pathogen detection. Scientific Reports, 2023; 13 (1) DOI: 10.1038/s41598-023-31694-6 ...

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.