Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

PALO ALTO, Calif., Dec. 14, 2021 /PRNewswire/ -- Orbital Insight, the leader in geospatial intelligence, today announced the launch of multiclass object detection algorithms within its GO platform ...

New adversarial techniques developed by engineers can make objects 'invisible' to image detection systems that use deep-learning algorithms. These techniques can also trick systems into thinking ...

Hardware, software and algorithms from different product suppliers can be plugged together using OA. By driving the continued development of OA, Smiths Detection will work with both start-up and ...

“Traditional object detection algorithms (YOLOv5, MobileNet SSD) are bad at this type of problem (similar-sized objects, lots of very small objects) so he designed a custom architecture that ...

The collaboration aligns with Smiths Detection’s Ada Initiative (which we reported on last month) – to accelerate open architecture adoption in aviation, ports and borders, defense and urban security ...

An 18-year-old student passionate about astronomy has made history by discovering 1.5 million previously unknown celestial objects. His algorithm using artificial intelligence could revolutionize ...

Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.