Mar 11, 2014 ASDNews Source : Charles River Analytics
To Advance Machine Learning through Probabilistic Programming
Charles River Analytics Inc. a developer of intelligent systems solutions, has announced a contract awarded by the Defense Advanced Research Projects Agency (DARPA) to extend the capabilities of machine learning. Charles River is leveraging probabilistic programming to create a powerful new machine learning system under the Automated Probabilistic Programming Representation and Inference Languages (APPRIL) program. The broad agency announcement contract was awarded as part of DARPA’s Probabilistic Programming for Advancing Machine Learning (PPAML) program. The contract is valued at over $5.7 million over a forty-six month period.
Machine learning is a branch of artificial intelligence that focuses on programming computer systems to automatically learn, act, and improve with experience. It has led to developments such as more effective web searches, an improved understanding of the human genome, and even improved robots.
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