New Algorithm significantly cuts back time needed for machines to learn and practice new concepts

A one of a kind algorithm has been developed that significantly reduces the times taken by computers to recognize simple concepts. Researchers from New York University and Massachusetts Institute of Technology are teaching computers an algorithm that is similar to learning techniques used by humans. The step is significant in reducing the amount of time required for machines to learn and practice new concepts. Ruslan Salakhutdinov, an assistant professor of Computer Science at the University of Toronto said that it was very difficult to develop machines that require very little data as required by humans when grasping a new concept. Replicating the concept is considered to be an interesting area of research connecting machine learning, statistics, computer vision and cognitive science. Therefore, the study researchers have developed a probability-based algorithm…


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