Communications of the ACM
Jeff Hawkins: Where Open Source and Machine Learning Meet Big Data
"I think that brain science . . . is actually a bigger societal impact long-term than mobile computing. Much, much larger."
Credit: YouTube
Smartphone pioneer Jeff Hawkins says in an interview that he primarily concentrates today on building machines that operate on neuroscientific principles. His current project, the Numenta Platform for Intelligent Computing (NuPIC), aims to incorporate machine-learning algorithms into an open source initiative. "Today, what you can do with [NuPIC] is stream fast data to it, and it builds models of the data in an online fashion, meaning every record that comes in is updating the model, it makes predictions, and it can detect anomalies," Hawkins says.
Hawkins speculates that the long-term societal impact of brain science is more profound than that of mobile computing. "We're going to be able to make machines that are a million times faster at thinking than we are," Hawkins predicts. "We're going to be able to make machines that have much more memory than we do. We're going to be able to make machines that can sense things that we can't sense."
NuPIC currently is being applied to machine-generated data, but Hawkins says there are many more applications for which the platform might be used through the open source effort. One possible application is extending algorithms to build more sophisticated systems, such as robotics, vision, and music, while another involves embedding them in existing products.
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