Inside Microsoft’s AI Comeback
Yoshua Bengio has never been one to take sides. As one of the three intellects who shaped the deep learning that now dominates artificial intelligence, he has been catapulted to stardom. It’s a field so new the people who can advance it fit into one room together, and everyone—from tech startups to multinational conglomerates and the department of defense—wants a share of their minds.
But while his peer scientists Yann LeCun and Geoffrey Hinton have signed on to Facebook and Google, respectively, Bengio, 53, has chosen to continue working from his small third-floor office on the hilltop campus of the University of Montreal. “I want to remain a neutral agent,” he says as he sips rust-colored licorice water, which he pours from a carafe that acts as a weight for the mess of papers cluttering his desk.
Like the nuclear scientists of the last century, Bengio understands that the tools he’s invented are powerful beyond measure and must be cultivated with great forethought and widespread consideration. “We don’t want one or two companies, which I will not name, to be the only big players in town for AI,” he says, raising his eyebrows to indicate that we both know which companies he means. One eyebrow is in Menlo Park; the other is in Mountain View. “It’s not good for the community. It’s not good for people in general.”
That’s why Bengio has recently chosen to sign on with Microsoft.
Yes, Microsoft. His bet is that the former kingdom of Windows alone has the capability to establish itself as AI’s third giant. It’s a company that has the resources, the data, the talent, and—most critically—the vision and culture to not only realize the spoils of the science, but also push the field forward. In January, in a move noted throughout the industry, Bengio agreed to be a strategic advisor to the company. This gives Microsoft a direct line to one of AI’s top resources for ideas, talent, and direction. And it’s a strong sign that Microsoft actually has a shot at making the ruling AI duo into a trio.
Read more at Wired.