Silicon Valley's startups have always had a recruiting advantage over the industry…

Google is building a new artificial intelligence lab in Montreal dedicated to deep learning, a technology that's rapidly reinventing not only Google but the rest of the internet's biggest players. Hugo Larochelle will run the new lab after joining Google from the Twitter, where he was part of the company's central AI team. It's a homecoming for Larochelle, who earned a PhD in machine learning from the University of Montreal and remains a professor at the Université de Sherbrooke. Yoshua Bengio, one of the founding fathers of the movement, calls him "one of the rising stars of deep learning." Intel Looks to a New Chip to Power the Coming Age of AI Giant Corporations Are Hoarding the World's AI Talent OpenAI Joins Microsoft on the Cloud's Next Big Front: Chips Giant Corporations Are Hoarding the World's AI Talent Giant Corporations Are Hoarding the World's AI Talent At the moment, Larochelle is the new lab's sole hire, but the idea is that he will build a sizable team inside Google's existing engineering office in Montreal.

Google is building a new artificial intelligence lab in Montreal dedicated to deep learning, a technology that's rapidly reinventing not only Google but the rest of the internet's biggest players. Hugo Larochelle will run the new lab after joining Google from the Twitter, where he was part of the company's central AI team. It's a homecoming for Larochelle, who earned a PhD in machine learning from the University of Montreal and remains a professor at the Université de Sherbrooke. Yoshua Bengio, one of the founding fathers of the movement, calls him "one of the rising stars of deep learning." At the moment, Larochelle is the new lab's sole hire, but the idea is that he will build a sizable team inside Google's existing engineering office in Montreal.

What Artificial Intelligence Can and Can't Do Right Now By Andrew Ng, Harvard Business Review, November 16, 2016 This post has been viewed 20 times. After understanding what AI can and can't do, the next step for executives is incorporating it into their strategies. That means understanding where value is created and what's hard to copy. The AI community is remarkably open, with most top researchers publishing and sharing ideas and even open-source code. Among leading AI teams, many can likely replicate others' software in, at most, 1–2 years.

Many executives ask me what artificial intelligence can do. They want to know how it will disrupt their industry and how they can use it to reinvent their own companies. But lately the media has sometimes painted an unrealistic picture of the powers of AI. (Perhaps soon it will take over the world!) AI is already transforming web search, advertising, e-commerce, finance, logistics, media, and more. As the founding lead of the Google Brain team, former director of the Stanford Artificial Intelligence Laboratory, and now overall lead of Baidu's AI team of some 1,200 people, I've been privileged to nurture many of the world's leading AI groups and have built many AI products that are used by hundreds of millions of people. Having seen AI's impact, I can say: AI will transform many industries.