Technology Review (09/22/11) Tom Simonite
In an interview, Google director of research Alfred Spector, who is leading a team that is focused on the most challenging areas of computer science with the goal of shaping the company's future technology, discusses its work in artificial intelligence (AI). Spector says the group is working on areas such as natural language processing, machine learning, speech recognition, translation, and image recognition. The research has resulted in better translation tools that now use parsing, and Fusion Tables, which enable users to create a database that is shared with others and to visualize and publish the data. Spector says that Google's general approach to AI is actually a hybrid AI, which means that the company learns from its user community. He says that AI also could contribute to social network communications technology by recommending content or communicating across languages. Beyond AI, the researchers are working on security issues, specifically if it is possible to constrain the most-used programs to run with minimal amounts of information.
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In an interview, Google director of research Alfred Spector, who is leading a team that is focused on the most challenging areas of computer science with the goal of shaping the company's future technology, discusses its work in artificial intelligence (AI). Spector says the group is working on areas such as natural language processing, machine learning, speech recognition, translation, and image recognition. The research has resulted in better translation tools that now use parsing, and Fusion Tables, which enable users to create a database that is shared with others and to visualize and publish the data. Spector says that Google's general approach to AI is actually a hybrid AI, which means that the company learns from its user community. He says that AI also could contribute to social network communications technology by recommending content or communicating across languages. Beyond AI, the researchers are working on security issues, specifically if it is possible to constrain the most-used programs to run with minimal amounts of information.
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