DARPA to build machines that can teach themselves

DARPA, an agency of the United States Department of Defense responsible for the development of new technologies for use by the military, launched a new program called  Probabilistic Programming for Advanced Machine Learning (PPAML)  which aims to research and develop machines capable of learning and evolving like a human being.

Using new algorithms – probabilistic programming – PPAML will manage uncertain information and select the best of it.

According to Kathleen Fisher, DARPA program manager, “the future machine learning projects won’t require people to know everything about both the domain of interest and machine learning to build useful machine learning applications. Through new probabilistic programming languages specifically tailored to probabilistic inference, we hope to decisively reduce the current barriers to machine learning and foster a boom in innovation, productivity and effectiveness.”

DARPA is hosting a Proposers’ Day on Wednesday, April 10, 2013, and organising a series of  “Summer Schools” that will allow scientists to familiarize with the technical objectives of PPAML.

For more info about this program, please visit: http://www.darpa.mil/NewsEvents/Releases/2013/03/19a.aspx



Image: DARPA


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  • FET project

  • EC funded

  • Under FP7

  • Project details

    Project number: 258749
    Call (part) identifier: FP7-ICT-2009-5
    Project Start Date: 1st September 2010
    Project Duration: 48 month

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