A Quote by Daniel Bruhl

The key is to let computers do what they are good at, which is trawling these massive data sets for something that is mathematically odd. And that makes it easier for humans to do what they are good at - explaining those anomalies.
As for explaining mathematical phenomena it opens the question: explaining to whom? humans?, other computers?
There's a world of difference . . . between that information to which we now presumably have access by way of computers, libraries, and the rest of it, great stockpiles of data, and the knowledge that people have in their bones by which they do good work and live good lives.
You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people's lives, both good and bad, without any checks and balances.
Do what's good for humans, modeled on how humans already do things; ignore what's convenient for computers.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.
I love matching workout sets. There's something about looking good and feeling good, as cheesy as that sounds, and it always makes my run seem a little better.
A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.
Motivation is the key to success in whatever you're doing in life. It comes a lot easier when you're doing something you love and have passion for. My goal is to have a good time and a hot run. And I'm not afraid of disappointment -- it only makes me work harder.
A good teacher is one who can understand those who are not very good at explaining, and explain to those who are not very good at understanding.
People assume that computers will do everything that humans do. Not good. People are different from each other and they are all really different from computers.
I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States.
I think comics is a really good way to talk about skepticism and atheism and things like that... it was easy to tell those stories and, I think, helpful to some people to tell them in comic form. Using visuals makes it easier to break stuff down and makes it somewhat easier to understand.
In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.
Art is what can't be proven mathematically, right, it's where science ends. It's the part that makes you feel good, but you don't know why.
The world treats beautiful people like they're good at something, which makes it so that they almost never get good at something.
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