Date: Nov 15, 2012 Source: Company Data (
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[Dateline]--SSCI, a leading developer and provider of Machine Learning, Big Data Analytics, AI & Intelligent Autonomy technologies, today announced receiving research funding from the Defense Advanced Research Projects Agency (DARPA) to develop new and advanced Machine Learning software based on Automated Bayesian Cross-Categorization (ABC) family of algorithms for heterogeneous structured and unstructured databases. This contract is part of DARPA's XDATA program, a 4-year research effort to develop new computational techniques and open source software tools for processing and analyzing data, motivated by defense needs. SSCI has been selected by DARPA as a performer in the technical area of scalable analytics and data processing technology. The contract is administered by the Air Force Research Laboratory, Rome, NY.
Dr. Raman K. Mehra, CEO of SSCI remarked, "We are very excited and proud to be part of the DARPA's XDATA program and look forward to collaborating with other awardees and developing open-source software for advanced Machine Learning, Big Data Analytics and Predictive Statistical Inference".
SSCI's team consists of senior researchers from MIT, U. of Louisville, and Prior Knowledge Inc.
Scientific Systems Company, Inc. (SSCI) pioneers products and technologies that provide the intelligence for unmanned ground, air and maritime vehicles to autonomously and collaboratively accomplish missions in difficult environments. Our technologies are currently at work in the Tomahawk Cruise Missile Program and numerous other U.S. Department of Defense systems.
For more information on DARPA and the XDATA program, visit www.darpa.mil.
