In an interview, Jeff Dean, senior fellow of Google's Systems and Infrastructure Group, discusses the company's artificial intelligence (AI) agenda, with its current focus on machine-learning systems.
Dean cites much progress toward true artificial general intelligence in the last five or six years as people applied some of the more refined machine-learning models.
He says a key AI goal Google plans to pursue in the coming years is taking in hundreds or thousands of documents and then having a conversation about the documents' contents. "Perhaps the system will summarize the documents, or ask or answer questions about the contents of the documents," Dean says. "I think that is the level of understanding we will need to truly demonstrate high levels of language understanding."
As the leader of Google's Brain group, Dean aims to develop large-scale computing systems to perform machine learning and advanced machine-learning research. He notes the group's "sequence-to-sequence learning" model can be plotted onto many real problems, and has proved useful in language translation and other contexts.
Dean says open source AI technology such as Google's TensorFlow machine-learning library is helping drive machine-learning community efforts.
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