Computational Quotes
Most Famous Computational Quotes of All Time!
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An ultimate joint challenge for the biological and the computational sciences is the understanding of the mechanisms of the human brain, and its relationship with the human mind.
I would suggest, merely as a metaphor here, but also as the basis for a scientific program to investigate the computational capacity of the universe, that this is also a reasonable explanation for why the universe is complex.
In this metaphor we actually have a picture of the computational universe, a metaphor which I hope to make scientifically precise as part of a research program.
I believe there is something going on in a conscious being, which includes many animals, as well as ourselves, that is not a computational activity. And to be conscious at all is not a quality that a computer as such will ever possess - no matter how complicated, no matter how well it plays chess or any of these things.
A computational device is incapable of developing a mind. We got consciousness not just by being clever.
Might we... be doing something with our brains that cannot be described in computational terms at all? How do our feelings of conscious awareness - of happiness, pain, love, aesthetic sensibility, will, understanding, etc. - fit into such a computational picture?
The special sphere of finance within economics is the study of allocation and deployment of economic resources, both spatially and across time, in an uncertain environment. To capture the influence and interaction of time and uncertainty effectively requires sophisticated mathematical and computational tools.
The field of AI has traditionally been focused on computational intelligence, not on social or emotional intelligence. Yet being deficient in emotional intelligence (EQ) can be a great disadvantage in society.
It is time to create new social science departments that reflect the breadth and complexity of the problems we face as well as the novelty of 21st-century science. These would include departments of biosocial science, network science, neuroeconomics, behavioral genetics and computational social science.
It's sort of nice in more general terms to see that computational science, computational biology is being recognized. It's become a very large field, and it's always in some ways been the poor sister, or the ugly sister, to experimental biology.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
Members of Congress are less beasts of accumulating burden than computational machines designed to win re-election. Their sense of their own political interests is acute.
The brain is a complex biological organ possessing immense computational capability: it constructs our sensory experience, regulates our thoughts and emotions, and controls our actions.
What I'm really interested in is this idea of a 'brain co-processor' - a device that can record from, and deliver information to, so many points in the brain, with a computational infrastructure in between - a computer that can process the information and compute exactly what needs to be restored.
My work was fairly theoretical. It was in recursive function theory. And in particular, hierarchies of functions in terms of computational complexity. I got involved in real computers and programming mainly by being - well, I was interested even as I came to graduate school.
The three-pound organ in your skull - with its pink consistency of Jell-o - is an alien kind of computational material. It is composed of miniaturized, self-configuring parts, and it vastly outstrips anything we've dreamt of building.
I think of the brain as a computational device: It has a bunch of little components that perform calculations on some small aspect of the problem, and another part of the brain has to stitch it all together, like a tapestry or a quilt.
Uber has an information advantage, a computational advantage. There's massive structural advantages to the player who's smartest about how to deploy cars, where to deploy cars, how to adjust pricing dynamics, how to ensure supply of drivers - the party that understands best the behavior of riders.
My father taught me Basic and rudimentary C, I learned everything else on my own, including studying computational complexity on my own. That's more a function of my age than anything else though - back when I was in school there were hardly any programming classes.
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