The Pattern Recognition Lab: Coupling Machine Learning to Brain-Inspired Computers

By Tiffany Fox San Diego, Calif., Sept. 27, 2016 — The scientific method traditionally begins with a hypothesis, which is then tested against data. Powerful new “brain-inspired” computing capabilities are turning that idea on its head by accelerating a “data science” experimental method — a method that detects patterns in data as a critical first step in generating a hypothesis.  Larry Smarr and Mark Anderson “Pattern recognition is a mode of epistemology, a way of knowing,” says University of California San Diego’s Larry Smarr, director of the California Institute for Telecommunications and Information Technology (Calit2). “It’s taking the same data that’s available to everyone and trying to let the data talk to you instead of putting your preconceived notions onto it.” As both machine learning (ML) techniques and novel computer architectures…


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