None of us today know how to get computers to learn with the speed and flexibility of a child.
Interpretation
Humans have yet to develop computers that can learn as quickly and adaptively as children do.
The quote highlights the current limitations in artificial intelligence and machine learning, emphasizing that while we have made significant advances in technology, we still cannot replicate the innate learning abilities of a child. This underscores the complexity of human cognition and the challenges faced in creating machines that can learn and adapt with the same efficiency and flexibility as humans do.
In practice
In a discussion about the future of AI technology during a conference, one might say, 'As Andrew Ng pointed out, none of us today know how to get computers to learn with the speed and flexibility of a child.'
AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.
It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
Imagine if we can just talk to our computers and have it understand, 'Please schedule a meeting with Bob for next week.' Or if each child could have a personalized tutor. Or if self-driving cars could save all of us hours of driving.
A single neuron in the brain is an incredibly complex machine that even today we don't understand. A single 'neuron' in a neural network is an incredibly simple mathematical function that captures a minuscule fraction of the complexity of a biological neuron.
I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.
Technology is rooted in the past. It dominates the present and tends into the future. It is a real historical movement - one of the great movements which shape and represent their epoch.
Essentially, every technology you have ever heard of, where electrons move from here to there, has the potential to be revolutionized by the availability of molecular wires made up of carbon. Organic chemists will start building devices. Molecular electronics could become reality.
Ironically, the main task of chess software companies today is to find ways to make the program weaker, not stronger, and to provide enough options that any user can pick from different levels and the machine will try to make enough mistakes to give him a chance.
Type 'What is th' and faster than you can find the 'e' Google is sending choices back at you: 'What is the cloud?' 'What is the mean?' 'What is the American dream?' 'What is the illuminati?' Google is trying to read your mind. Only it's not your mind. It's the World Brain.
Most people assume that once security software is installed, they're protected. This isn't the case. It's critical that companies be proactive in thinking about security on a long-term basis.
[The internet] ought to be like clay, rather than a sculpture that you observe from a distance.
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