Neural networks have been responsible for most of the top-performing AI systems of the past decade, but they tend to be big, which means they tend to be ...

Developing a new natural-language-understanding system usually requires training it on thousands of sample utterances, which can be costly and ...

Machine learning systems often act on “features” extracted from input data. In a natural-language-understanding system, for instance, the features might ...

Many of today’s most popular AI systems are, at their core, classifiers. They classify inputs into different categories: this image is a picture of a dog, ...

This Sunday's Super Bowl between the New England Patriots and the Los Angeles Rams is expected to draw more than 100 million viewers, some of whom will have ...

March 4 marks the kickoff of the third Alexa Prize Socialbot Grand Challenge, in which university teams build socialbots capable of conversing on a wide ...

March 4 marked the kickoff of the third Alexa Prize Socialbot Grand Challenge, in which university teams build socialbots capable of conversing on a wide ...

Most modern machine learning systems are classifiers. They take input data and sort it into categories: pictures of particular animals, vocalizations of ...

Although deep neural networks have enabled accurate large-vocabulary speech recognition, training them requires thousands of hours of transcribed data, ...

Sentiment analysis is the attempt, computationally, to determine from someone’s words how he or she feels about something. It has a host of applications, in ...