Richard Socher appeared nervous as he waited for his artificial intelligence program to answer a simple question: “Is the tennis player wearing a cap?”
The word “processing” lingered on his laptop’s display for what felt like an eternity. Then the program offered the answer a human might have given instantly: “Yes.”
Mr. Socher, who clenched his fist to celebrate his small victory, is the founder of one of a torrent of Silicon Valley start-ups intent on pushing variations of a new generation of pattern recognition software, which, when combined with increasingly vast sets of data, is revitalizing the field of artificial intelligence.
His company MetaMind, which is in crowded offices just off the Stanford University campus in Palo Alto, Calif., was founded in 2014 with $8 million in financial backing from Marc Benioff, chief executive of the business software company Salesforce, and the venture capitalist Vinod Khosla.
MetaMind is now focusing on one of the most daunting challenges facing A.I. software. Computers are already on their way to identifying objects in digital images or converting sounds uttered by human voices into natural language. But the field of artificial intelligence has largely stumbled in giving computers the ability to reason in ways that mimic human thought.
Now a variety of machine intelligence software approaches known as “deep learning” or “deep neural nets” are taking baby steps toward solving problems like a human.
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