I'd like to think life has improved since 1850, despite the long hours we all seem to spend slaving over hot computers, but the psychological journeys remain the same - the search for love, identity, a meaningful place in the world.
My hope is that in the future, women stop referring to themselves as 'the only woman' in their physics lab or 'only one of two' in their computer science jobs.
The corollary of constant change is ignorance. This is not often talked about: we computer experts barely know what we're doing. We're good at fussing and figuring out. We function well in a sea of unknowns. Our experience has only prepared us to deal with confusion. A programmer who denies this is probably lying, or else is densely unaware of himself.
People tend to think that mathematicians always work in sterile conditions, sitting around and staring at the screen of a computer, or at a ceiling, in a pristine office. But in fact, some of the best ideas come when you least expect them, possibly through annoying industrial noise.
Organized common (or uncommon) sense -- very basic knowledge -- is an enormously powerful tool. There are huge dangers with computers. People calculate too much and think too little.
If you're using a computer as an artist and expressing your personal vision, I think your personal vision comes through.
Memory has always been social. Now we're using search engines and computers to augment our memories, too.
The Supreme Court has held that code is speech. And it doesn't matter that it's done on a computer or done face to face or done in a newspaper, reporting the facts of the world is protected speech.
By 2029, computers will have emotional intelligence and be convincing as people.
Although I'm not prepared to move up my prediction of a computer passing the Turing test by 2029, the progress that has been achieved in systems like Watson should give anyone substantial confidence that the advent of Turing-level AI is close at hand. If one were to create a version of Watson that was optimized for the Turing test, it would probably come pretty close.
I'm working on artificial intelligence. Actually, natural language understanding, which is to get computers to understand the meaning of documents.
Anyone with a little computer experience knows that anything can be copied bit-by-bit with the right equipment.
At the end of the day, a television, a computer, or a smart phone is just a device through which one can access content. The content itself is what matters, not the device.
I just want to keep creating stuff, work regularly and learn how to use a computer properly.
The cool kids have co-opted all the neat stuff ? computers, gadgets, video games. Theres no such thing as a computer geek anymore.
Often people, especially computer engineers, focus on the machines. But in fact we need to focus on humans, on how humans care about doing programming or operating the application of the machines.
In 1991, I co-founded my first start-up, Ink Development, which made software for an early tablet computer.
You simply cannot understand psychedelic drugs, which activate the brain, unless you understand something about computers.
The value of market esoterica to the consumer of investment advice is a different story. In my opinion, investment success will not be produced by arcane formulae, computer programs or signals flashed by the price behavior of stocks and markets. Rather an investor will succeed by coupling good business judgment with an ability to insulate his thoughts and behavior from the super-contagious emotions that swirl about the marketplace.
A computer is a wonderful and friendly machine, because it's always just a little better than you are. You're always a little bit behind, but it stays right there with you anyway. It allows you to make the mistakes, and then to try to find out what the mistakes are, and then to repair the mistakes. It's always your friend. It quits on you, but it doesn't leave the apartment.
We didn't know the importance of home computers before the Internet. We had them mostly for fun, then the Internet came along and was enabled by all the PCs out there.
Cryptography has generated number theory, algebraic geometry over finite fields, algebra, combinatorics and computers.
Of the properties of mathematics, as a language, the most peculiar one is that by playing formal games with an input mathematical text, one can get an output text which seemingly carries new knowledge. The basic examples are furnished by scientific or technological calculations: general laws plus initial conditions produce predictions, often only after time-consuming and computer-aided work. One can say that the input contains an implicit knowledge which is thereby made explicit.
You can actually improvise a lot as a voice actor. It's not that entirely different than shooting a live action movie; the characters mouths are quite easy to manipulate once all the information is built into the computer. So you can improvise a lot and it doesn't matter really how far along they are in the process they can really just make the character say something different.
When we first started with Apple computers, it was my dream that everyone would learn to program, and that was how they'd use their computer.
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