Why Machines Still Can’t Learn So Good

(Bloomberg) Anthony Ledford and his colleagues at Man AHL spent three painstaking years building a machine-learning model to do something mere mortals often can’t: find fresh ideas in an avalanche of data.

But even Ledford, chief scientist at the $19 billion Man AHL in London, rolls his eyes when he hears people say that machine learning, a type of artificial intelligence, is going to transform hedge funds tomorrow. To Ledford, a lot of the buzz smacks of hype. The technology is more robust than its predecessors but hardly revolutionary.

To read this article:

This entry was posted in Syndicated. Bookmark the permalink.

Leave a Reply