A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

But most machine learning researchers and developers use one of several tried and tested convolutional neural networks such as AlexNet, VGG16, and ResNet-50. Object detection datasets ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting.

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 ...

The SpotlightAI™ software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive proprietary dataset capable of rapidly ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

University of Cincinnati. "Machine learning aids in detection of 'brain tsunamis'." ScienceDaily. ScienceDaily, 19 March 2025. <www.sciencedaily.com / releases / 2025 / 03 / 250319143026.htm>.

IonQ has a research history with quantum machine learning, so I was looking forward to talking to Peter Chapman, CEO of IonQ, about his partnership with Hyundai Motors. First, Chapman explained ...

A new startup has plans to use deep-learning algorithms to speed up this process. Spore.Bio is a French startup that has developed a new pathogen-detection methodology.