“Learning to see and learning to read are the two main things we need for the computer to do to gain knowledge,” said Jen Rexford, chair of Princeton’s computer science department and the Gordon Y.S.

Machine Learning Machine learning extracts information from data based on supervised and unsupervised learning methods. This includes understanding image content, spoken language, printed language, ...

The PhoenixD Cluster of Excellence at Leibniz University Hannover and Heidelberg University are hosting the first international workshop on photonic computing and machine learning. The format focuses ...

These "memelements" make up the synaptic hardware of systems that mimic natural information processing, learning and memory.

Whether we refer to this field as "complex information processing" or "artificial intelligence" (or the more ominously Skynet-sounding "machine learning") is irrelevant. Immense amounts of work ...

It has long been known that the brain preferentially processes information that we focus our attention on—a classic example ...