New adversarial techniques developed by engineers can make objects 'invisible' to image detection ... learning" are finding and documenting vulnerabilities in deep- and other machine-learning ...

CSIRO will work with its partners to develop new solutions that use artificial intelligence (AI), machine learning (ML), and camera sensors for plastics detection and waste monitoring in waterways.

Object detection is a supervised machine learning problem, which means you must train your models on labeled examples. Each image in the training dataset must be accompanied with a file that ...

In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

The object detection required for machine vision applications such ... Thomas Andersen, vice president for AI and machine learning at Synopsys, said that in this situation, it depends on the actual ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

The Company intends to utilize its newly enhanced models to power new threat detection solutions ... utilizes advanced machine learning (ML) models for small object detection and data reporting ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...