Words matter. These are the best Computational Quotes from famous people such as Tim Sweeney, Evgeny Morozov, Jensen Huang, Daniel Levitin, David Eagleman, and they’re great for sharing with your friends.
Within our lifetimes, we will be able to push out enough computational power to simulate reality.
In addition to their ‘do no evil’ motto, Googlers have always been guided by another, much less explicit philosophy: ‘computational arrogance.’
I love that the work that we do is so vital to science. We’re in a lot of ways at the scientific front line. The work that we’re doing to build up the computational defense system for infectious diseases, whether it’s finding the vaccine as fast as possible this time or next time to detect early outbreaks.
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.
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.
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.
In subjects that physicists think of as purely quantum, classical ideas and classical computational techniques can often be powerful.
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.
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.
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.
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.
We basically created a computational unit out of two brains.
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.
A computational device is incapable of developing a mind. We got consciousness not just by being clever.
Biotech 1.0 is slow, like a lab science, and Version 2.0 is more like computational sciences.
As Bromberger observed, rules are understood to be elements of the computational systems that determine the sound and meaning of the infinite array of expressions of a language; the information so derived is accessed by other systems in language use.
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.
