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 ...
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 ...
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 ...
EurekAlert!

Researchers detect and classify multiple objects without images

WASHINGTON — Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because ...
CNET

I Tested Arlo's Trailblazing Security AI That Lets You Create Identifiable Objects

If you have an Arlo Secure subscription for your camera, you may have noticed an interesting recent addition: A beta program for "Custom Detection" that allows you to literally train Arlo's AI to ...
Elektor Magazine

Vision Language Models for the Edge: Cascading Models for Better Reliability

Vision Language Models can now run on low-cost edge hardware like the RUBIK Pi 3. With its accelerators, it can handle a VLM ...