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 networks need to be ...

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 ...

Supported by the hyper scale of the Amazon Web Services (AWS) cloud, this robust dataset enables the patented SpotlightAI™ ecosystem to rapidly detect ... advanced machine learning (ML) models ...

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 ...

Might satellites bolstered with machine learning be up for the oceanic ... These differences in light absorption allow satellites to detect floating objects from space. The NIR signals of various ...

Their novel technique, which combines optical microscopy with a neuromorphic camera and machine learning algorithms, presents a major step forward in pinpointing objects smaller than 50 nanometers ...