This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.

Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation.

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...

New machine learning technology has devised a machine learning system to tap the problem-solving potential of satellite imaging. The low-cost, easy-to-use technology could bring satellite image ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

The free app aims to make machine learning easier for people to use and helps them train models without writing code.