The Brainy Learning Algorithms of Numenta - Technology Review: The system's ability to make predictions about unfolding events is rooted in its unique capacity for processing temporal, or time-dependent, data. Conventional learning software cannot do that, because it can't handle input consisting of many variables that change over time. Instead, engineers generally have to extract the handful of variables they think are useful and feed them into the algorithms.
That "pre-processing" isn't necessary in models inspired by studies of biological brains, Arel says. Instead, the learning system can decide for itself what is important and what isn't. This is an emerging field dubbed deep machine learning. "Most academic efforts are focused on processing images, though," he says. "What's unique about Numenta is that it's able to handle temporal data, which opens up different kinds of applications."
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