Machine learning can help these devices handle new tasks, using image recognition to “see” and speech recognition to “hear”. However, there are definite limits to the Pi’s ML capabilities.

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.

Learn how to build an Android app that can automatically process an image using on-device and in-the-cloud machine learning. ML Kit image labeling feature is probably one of the more important ...

Hackers can train artificial neural networks to recognize objects, read text, and even identify faces in obfuscated images.

Like other deep learning projects, Microsoft’s used a convolutional neural network to outperform humans, mimicking the brain’s structure with massive network of neurons that respond to visual ...

Microsoft dev teams for Azure Machine Learning (Azure ML) and Visual Studio Code have improved the developer experience in the super-popular, open source-based, cross-platform code editor. An update ...

According to Image Recognition, This Turtle Is a Rifle By changing tiny details, researchers were able to completely fool image recognition software.