WTSP

USF researchers using algorithm to detect 'hidden objects'

TAMPA, Fla. — It is sci-fi meets reality at USF in Tampa, where researchers are developing an algorithm that allows them to see around hidden corners and through obstacles. "We're trying to see around ...
VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
EurekAlert!

Design of a household robot with autonomous navigation for object detection and sorting

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...
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 ...
JSTOR Daily

Deep Learning-based Sensing and Spatial Computing Technologies, Context Awareness and Object Perception Algorithms, and Digital Twin Simulation and Immersive Decentralized ...

Geopolitics, History, and International Relations, Vol. 15, No. 2 (2023), pp. 39-53 (15 pages) Based on an in-depth survey of the literature, the purpose of the paper is to explore urban modeling and ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...