You and your peers in the tech field might be a little surprised and more than a bit overwhelmed by the speed with which machine intelligence is outperforming humans. Don't feel bad, even the experts who write the books are feeling stunned by the rate and scale of tech change.
Andrew McAfee, principal research scientist at MIT and author of four books on smart machines, told an Interop ITX audience that he keeps getting it wrong in predicting how quickly machine learning is advancing. Plus, he doesn't feel so bad either, because so many other experts who write books have been just as wrong.
"We're still underestimating how big the change is," he told about 1,000 attendees during an Interop ITX keynote address.
McAfee highlighted the pace of change by tracing through four primary examples of where machines unexpectedly have outperformed humans in recent years: Wine, data center management, poker, and a 3,000 year old game.
His keynote was titled Machine, Platform, Crowd: Harnessing the Digital Revolution, which is the same title of his new book, coming in June, which he co-authored with Erik Brynjolfsson, director of the MIT Center for Digital Business.
[Read Jim Connolly's full article at InformationWeek]