The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
InfoQ

Unsupervised Object Detection and Semantic Segmentation Using Deep Learning

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
EurekAlert!

A survey of embodied learning for object-centric robotic manipulation

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...
Business Wire

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection

AVENTURA, Fla.--(BUSINESS WIRE)--Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing ...
Semiconductor Engineering

AI Transformer Models Enable Machine Vision Object Detection

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
SpaceNews

Machine Learning Techniques Identify Thousands Of New Cosmic Objects

Application of machine learning techniques to large astronomy data sets can discover thousands of cosmic objects of various classes. CREDIT Shivam Kumaran cientists of Tata Institute of Fundamental ...