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Issue No.02 - March-April (2012 vol.27)
pp: 2-7
ABSTRACT
Hidden Markov models and neural networks are enabling new approaches to understanding and translating spoken language. Google, Microsoft, AT&T, Nuance Communications, and Apple are among the companies driving research in this area. Israeli researchers have developed a computational machine-learning model based on how bacteria communicate and act collectively. Their algorithm could enable development of robots that could form smart teams and also improve work in areas such as swarm computing. Paleontologists have turned to artificial intelligence to analyze satellite imagery and create a model of where best to find sites with fossils. The researchers trained their AI-based application to recognize the spectral signatures of different types of land cover and combined that data with elevation and slope information to identify likely fossil-bearing sites.
INDEX TERMS
hidden Markov models, language recognition, machine translation, Google Voice, Microsoft, AT&T, Nuance Communications, Apple Siri, bacteria, swarm computing, collective decision making, paleontology, fossils, satellite imagery
CITATION
"In The News", IEEE Intelligent Systems, vol.27, no. 2, pp. 2-7, March-April 2012, doi:10.1109/MIS.2012.39
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