A Quote by Andrew Ng
One of my relatives had been asking me on how he could break into AI. For him to learn AI - deep-learning, technically - a lot of facts exist on the Internet, but it is difficult for someone to go and read the right combination of research papers and find blog posts and YouTube videos and figure out themselves on how to learn deep-learning.
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One of the things that Baidu did well early on was to create an internal platform for deep learning. What that did was enable engineers all across the company, including people who were not AI researchers, to leverage deep learning in all sorts of creative ways - applications that an AI researcher like me never would have thought of.
Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.
Deep-learning will transform every single industry. Healthcare and transportation will be transformed by deep-learning. I want to live in an AI-powered society. When anyone goes to see a doctor, I want AI to help that doctor provide higher quality and lower cost medical service. I want every five-year-old to have a personalised tutor.
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.
India has a large base of tech talent, and I hope that a lot of AI machine learning education online will allow Indian software professionals to break into AI.
Learning to learn is to know how to navigate in a forest of facts, ideas and theories, a proliferation of constantly changing items of knowledge. Learning to learn is to know what to ignore but at the same time not rejecting innovation and research.
Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.
Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.
I believe that our society's "mistake-phobia" is crippling, a problem that begins in most elementary schools, where we learn to learn what we are taught rather than to form our own goals and to figure out how to achieve them. We are fed with facts and tested and those who make the fewest mistakes are considered to be the smart ones, so we learn that it is embarrassing to not know and to make mistakes. Our education system spends virtually no time on how to learn from mistakes, yet this is critical to real learning.
I think a lot of people don't understand how deep AI already is in so many things.
This is a deep and personal topic in our society today. Read the papers. America is hurting because of it. For God's sake, speak up. Don't we need to learn respect for people's feelings? What is going to school for? To learn how to add?
I recommend learning how to come into the presence of stillness and vastness. Learn any form of meditation. Spend twenty minutes every day if possible, in meditation, listening to the crazy monkey mind inside you, and learning how to still the thoughts and discover that big, deep soulful part of yourself.
YouTube has so much great content. And it really has something for everybody. And people come up to me all the time and talk to me about how YouTube has changed their life, how they've been able to learn something they didn't think they could learn.
In 'Chappie,' you see this sort of young robot that's learning through maybe 'deep learning' how to see the world really, look out into the world, and learn step by step. What's so interesting is that with 'Chappie,' you're getting to see how human behavior reacts to artificial intelligence, and I don't think it's always going to be positive.
The same plasticity that allows us to form a reading circuit to begin with, and short-circuit the development of deep reading if we allow it, also allows us to learn how to duplicate deep reading in a new environment. We cannot go backwards. As children move more toward an immersion in digital media, we have to figure out ways to read deeply there.
I didn't want to teach my kid how to read, so I used to read to him at night and close the book at the most interesting part. He said, “What happened then, daddy?” I said, “If you learn to read, you can find out. I'm too tired to read. I'll read to you tomorrow.” So, he had a need to want to learn how to read. Don't teach children how to read. Don't teach them mathematics. Give them a reason to want it. In school, they're working ass-backwards.
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