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Next Next: Machines that think




By Curt Hopkins, Managing Editor, Hewlett Packard Labs

At Hewlett Packard Labs, our goal is to look past today’s emerging technologies, not just looking ahead to future trends, but shaping what’s beyond the next big thing. This week, we’re profiling the latest expression of the Next Next project in “Machines That Think: Neuromorphic computing and the future of artificial cognition.”

Nature, and in particular the human brain, offer a model for computing that may take us past the limitations of Moore’s Law, which is coming to an end. In addition to an exhaustive article exploring how modeling the brain can give us faster, more responsive computing, we also present the issues via photography, an informative graphic, and video.

The Labs Notebook animation outlines the promise of neuromorphic computing:

Senior Fellow Stan Williams discusses the ways in which nature can serve as a template for computer development while challenging received wisdom:

Rich Friedrich discusses how biologically-influenced systems architecture will allow us to take advantage of parallel processing in a way traditional architecture cannot:

Ben Chandler talks about the DARPA Synapse program and how Labs has changed the way we deal with things like storage, compute, and memory:

Take an in-depth look at our work on brain-like computing for The Machine and beyond, and let us know what you think, either in the comments below or via our Twitter account, @HPE_Labs..

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Managing Editor, Hewlett Packard Labs

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