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

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 ...

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.

A new study finds that machine learning can help reduce textile manufacturing waste by more accurately mapping how colors ...

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 ...

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 ...

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 ...

Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers, adding the ability to train custom models with Model Builder in Visual Studio. ML.NET ...