NASA-sponsored project chooses Brainboost search engine
10 March 2005
Brainboost has announced that Old Dominion University's Center for Advanced Engineering Environments (CAEE) has selected its Answer Engine as a key component for a breakthrough research platform under development.
The project, sponsored by NASA's Langley Research Center in Virginia, combines multiple technology platforms to enable a researcher can pose a question in natural language and receive an answer in seconds.
Brainboost provides state-of-the- art natural language question answering systems and can be accessed independently at http://www.brainboost.com.
"We are pleased to work with Brainboost and to use their elaborate question /answering engine in our proof-of-concept test bed of the next-generation intelligent information retrieval facility. The facility will significantly enhance the productivity of the NASA workforce, and enable the new paradigm of mobile learning to our students," said Ahmed Noor, the William E Lobeck Professor of Aerospace Engineering at Old Dominion and director of CAEE.
Assaf Rozenblatt, founder and CTO of Brainboost, added: "We are very pleased that Brainboost's superior question answering engine was selected to be part of this initiative. We look forward to supporting Old Dominion's Center for Advanced Engineering Environments on this revolutionary mission and expect that we will evolve the Brainboost Answer Engine's capabilities to an even greater level."
While many current search engines are exploring the facilitation of linking user questions to existing databases such as encyclopaedias and pre-canned answers, Brainboost leverages the full power of the vast amount of information on the internet to answer even the most obscure question using state of the art natural language processing technology in the form of the Brainboost Answerrank system.
The Brainboost Answer Engine offers an out of the box solution for answer extraction, allowing customers to commingle answers culled from multiple origins into a comprehensive set of relevant answers in plain English.
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