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 ...
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 ...
Naval Technology on MSN

Indian Navy, Skylark Labs test FOD detection system on aircraft carrier

The test confirms the system’s ability to provide continuous autonomous monitoring of the deck in a demanding naval aviation ...
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 ...

Skylark Labs Deploys Fixed Foreign Object Debris Detection at Commercial Airports for Continuous Runway Safety

Skylark Labs today announced the deployment of its Fixed Foreign Object Debris detection system at major commercial airports, providing continuous, autonomous runway monitoring without the operational ...
Science Daily

Researchers detect and classify multiple objects without images

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 the new ...
Yahoo

Astronomers detect million-solar-mass object in distant universe

Add Yahoo as a preferred source to see more of our stories on Google. The black ring and central dot show infrared image of a distant galaxy distorted by a gravitation lens. (CREDIT: Devon Powell, Max ...