LM101-070: How to Identify Facial Emotion Expressions in Images Using Stochastic Neighborhood Embedding

This 70th episode of Learning Machines 101 we discuss how to identify facial emotion expressions in images using an advanced clustering technique called Stochastic Neighborhood Embedding for: improving online communications, identifying terrorists, improving lie detector tests, improving athletic performance, and designing smart advertising which looks at a customer’s face to determine if they are bored or interested. The machine learning text “Pattern Recognition and Machine Learning” is reviewed.

Om Podcasten

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!