A Quote by Douglas Hofstadter
The strange flavour of AI work is that people try to put together long sets of rules in strict formalisms which tell inflexible machines how to be flexible.
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I will continue my work to shepherd in this important societal change... In addition to working on AI myself, I will also explore new ways to support all of you in the global AI community so that we can all work together to bring this AI-powered society to fruition.
I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.
People tell you the world looks a certain way. Parents tell you how to think. Schools tell you how to think. TV. Religion. And then at a certain point, if you're lucky, you realize you can make up your own mind. Nobody sets the rules but you. You can design your own life.
Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.
For remember that in general we don't use language according to strict rules-- it hasn't been taught to us by means of strict rules, either. We, in our discussions on the other hand, constantly compare language with a calculus preceding to exact rules.
There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.
Politicians try to see the world through other people's lenses and try to bring people together so that we can have a mutual view of the world - and how do we work together, not from the individual views that we all have.
Artificial Intelligence (AI) is the science of how to get machines to do the things they do in the movies.
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.
The ultimate truth is like the flavour of an apple which you can't see with the eye or hear with the ear. The only way to experience it is to put the teachings into practice. Once you taste it, you are no longer in any doubt about its flavour and you do not have to ask anyone else. The problem is solved.
There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.
Go to the bookstore and look at how many bookshelves are filled with books trying to explain how to work the devices. We don't see shelves of books on how to use television sets, telephones, refrigerators or washing machines. Why should we for computer-based applications?
It took me a long time to learn how to be brave enough to put myself out there and try everything, no matter how strange or silly. If I can impart that same wisdom to other folks - no matter what age - it would be an honor.
Google or other search engines are examples of AI, and relatively simple AI, but they're still AI. That plus an awful lot of hardware to make it work fast enough.
My parents were always very strict, and they gave me the right beliefs in how to treat people. It was very strict and all about morals - I try to pass that on to my own children.
We've never slammed people over the head or made 'The Flash' an after-school special. With us, it's always been presenting the world in which we live. The world in which we live, men and women work together; different races work together, and you have gay friends, and people have relationships. We just try to show that.
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