Microsoft’s Azure gets all emotional with machine learning Project Oxford AI services detect emotions, identify voices, and fix bad spelling.

New emotion recognition software using brain-machine interface technologies may enable researchers to take a more accurate and universal approach to emotion recognition.

Microsoft adds emotion recognition to its collection of machine learning APIs, potentially leading to computers that can sense a user's mood by looking at them.

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.

With machine learning, in particular, we often see metrics being used to make decisions — not because they’re reliable, but simply because they can be measured.

In addition to accuracy, another advantage of the evolutionary mental state transition model for emotion tracking is its reduced computational time and smaller footprint. The model has fewer ...

A researcher at Wageningen University & Research recently published a pre-print article detailing a system by which facial recognition AI could be used to identify and measure the emotional ...