Progress in machine learning has led us to believe we might soon be able to build machines that talk to us using the same interfaces that we use to talk to each other: natural language. But how close are we? Hilary Mason explores the current state of natural language technologies and some applications where this technology is thriving today and imagines what we might build in the next few years.
Hilary Mason is vice president of research at Cloudera Fast Forward Labs and data scientist in residence at Accel Partners. Previously, Hilary was chief scientist at Bitly. She cohosts DataGotham, a conference for New York’s homegrown data community, and cofounded HackNY, a nonprofit that helps engineering students find opportunities in New York’s creative technical economy. She’s on the board of the Anita Borg Institute and an advisor to several companies, including SparkFun Electronics, Wildcard, and Wonder. Hilary served on Mayor Bloomberg’s Technology Advisory Board and is a member of Brooklyn hacker collective NYC Resistor.
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