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 ...
Phys.org

Digital twin confirms nanotubes can detect cracks in aircraft wing mid-flight

Skoltech researchers have created a digital twin of a polymer composite material with a 2D sensor and successfully used it for structural integrity testing. The new technology can be used to ...
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 ...
National Academies of Sciences%2c Engineering%2c and Medicine

AI Applications for Automatic Pavement Condition Evaluation

Road networks are important assets that need to be maintained at a reasonable degree of service through routine maintenance and rehabilitation treatments to address the progression of deterioration ...
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 ...