Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
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Education is not about thinning the herd. Education is about helping every student succeed.
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Animals see a video of the world. If an animal were only to see still images, how would its vision develop? Neuroscientists have run experiments in cats in a dark environment with a strobe so it can only see still images - and those cats' visual systems actually underdevelop. So motion is important, but what is the algorithm?
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The success, or failure, of a CEO to implement AI throughout the organization will depend on them hiring a leader to build an organization to do this. In some companies, CIOs or chief data officers are playing this role.
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The thing that really excites me today is building a new AI-powered society.
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One of the things Baidu did well early on was to create an internal platform that made it possible for any engineer to apply deep learning to whatever application they wanted to, including applications that AI researchers like me would never have thought of.
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In Silicon Valley, there are a lot of startups using computer vision for agriculture or shopping - there are a lot for clothes shopping. At Baidu, for example, if you find a picture of a movie star, we actually use facial recognition to identify that movie star and then tell you things like their age and hobbies.
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As leaders, it is incumbent on all of us to make sure we are building a world in which every individual has an opportunity to thrive. Understanding what AI can do and how it fits into your strategy is the beginning, not the end, of that process.
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With human inspectors, it's difficult to get even the same person to make consistent judgments.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.