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SWARM

In the news

发表年份
2012
引用次数
2

摘要

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.

关键词

Computer scienceHidden Markov modelArtificial intelligenceCover (algebra)RobotArtificial neural networkMachine learningData scienceWorld Wide Web

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