
Is Big Data Taking Us Closer to the Deeper Questions in Artificial Intelligence?
https://www.edge.org/conversation/gary_m...artificial
EXCERPT: [...] What we need to do in artificial intelligence is turn back to psychology. Brute force is great; we're using it in a lot of ways, like speech recognition, license plate recognition, and for categorization, but there are still some things that people do a lot better. We should be studying human beings to understand how they do it better. People are still much better at understanding sentences, paragraphs, books, and discourse where there's connected prose. It's one thing to do a keyword search. You can find any sentence you want that's out there on the web by just having the right keywords, but if you want a system that could summarize an article for you in a way that you trust, we're nowhere near that. The closest thing we have to that might be Google Translate, which can translate your news story into another language, but not at a level that you trust. Again, trust is a big part of it. You would never put a legal document into Google Translate and think that the answer is correct....
Humans, machines, and the future of work
https://plus.maths.org/content/humans-ma...uture-work
EXCERPT: In March this year the Go champion Lee Sedol lost to the computer AlphaGo. Sedol is the highest-ranking Go player so far to be defeated by artificial intelligence, and the win counts as a significant advance in AI. But will the rise of intelligent machines benefit humankind in the long run, or is it more likely to do harm? In this article we'll explore this question — not by focussing on deep philosophical questions, but by looking at the world of work and hard economic data....
Snakes and adders
https://plus.maths.org/content/snakes-and-adders
EXCERPT: Most people probably know that computers work on 0s and 1s. And, being electronic devices, it's also pretty obvious that they work on some kind of electronic circuits. But how do these things fit together and how do computers actually manage to perform their tasks? To give you an idea of how it all works, let's look at a particular example: how you can get a computer to add up natural numbers....
https://www.edge.org/conversation/gary_m...artificial
EXCERPT: [...] What we need to do in artificial intelligence is turn back to psychology. Brute force is great; we're using it in a lot of ways, like speech recognition, license plate recognition, and for categorization, but there are still some things that people do a lot better. We should be studying human beings to understand how they do it better. People are still much better at understanding sentences, paragraphs, books, and discourse where there's connected prose. It's one thing to do a keyword search. You can find any sentence you want that's out there on the web by just having the right keywords, but if you want a system that could summarize an article for you in a way that you trust, we're nowhere near that. The closest thing we have to that might be Google Translate, which can translate your news story into another language, but not at a level that you trust. Again, trust is a big part of it. You would never put a legal document into Google Translate and think that the answer is correct....
Humans, machines, and the future of work
https://plus.maths.org/content/humans-ma...uture-work
EXCERPT: In March this year the Go champion Lee Sedol lost to the computer AlphaGo. Sedol is the highest-ranking Go player so far to be defeated by artificial intelligence, and the win counts as a significant advance in AI. But will the rise of intelligent machines benefit humankind in the long run, or is it more likely to do harm? In this article we'll explore this question — not by focussing on deep philosophical questions, but by looking at the world of work and hard economic data....
Snakes and adders
https://plus.maths.org/content/snakes-and-adders
EXCERPT: Most people probably know that computers work on 0s and 1s. And, being electronic devices, it's also pretty obvious that they work on some kind of electronic circuits. But how do these things fit together and how do computers actually manage to perform their tasks? To give you an idea of how it all works, let's look at a particular example: how you can get a computer to add up natural numbers....