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­.s. Intelligence Agency Wants Brain-Like Algorithms For Complex Information Processing


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Artist's representation of brain operations.

The U.S. Intelligence Advance Research Projects Activity believes algorithms that utilize the same data representations, transformations, and learning rules as those used by the human brain have the potential to revolutionize machine intelligence.

Credit: Inventorspot.com

The U.S. Office of the Director of National Intelligence (ODNI) wants to develop technology that will enable computers to think like humans. ODNI's Intelligence Advanced Research Projects Activity (IARPA) believes algorithms that utilize the same data representations, transformations, and learning rules as those employed by the brain have the potential to revolutionize machine intelligence.

IARPA will explain the project, known as Machine Intelligence From Cortical Networks (MICrONS), at its Proposers Day, scheduled for July 17, in College Park, MD.

IARPA says the goal is to create "a new generation of machine-learning algorithms derived from high-fidelity representations of the brain's cortical microcircuits to achieve human-like performance on complex information processing tasks." IARPA wants researchers to propose an algorithmic framework for information processing that is consistent with existing neuroscience data. Researchers will collect and analyze high-resolution data on the structure and function of cortical microcircuits, and generate computational neural models of cortical microcircuits.

IARPA also wants researchers to implement novel machine-learning algorithms that use mathematical abstractions of cortical computing as their basis of operation.

From Network World
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Abstracts Copyright © 2014 Information Inc., Bethesda, Maryland, USA


 

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