machines would spin too fast for the human eye to see.
machine of society just right so that everybody would be blissfully happy.
machines to China.
machines are getting better.
Machines get better at 10% per year throughout the economy starting today, and then that automation gives you more ideas, gives you more automation.
machinery matters. Open source infrastructure matters.
machines replacing people and and different types of jobs, it becomes more
Machines do not think.
Machines do not have qualia.
machines , but we're actually going to couple that with a wage increase or we're going to couple that with a 35-hour work week or earlier
machine, which is the basis of the second era of computation.
machine. So we've got a pretty broad capability.
machine in effect what's going on here is that you have divided
Machine learning, you can see, has the possibility for very new things to emerge out of that learning process, things which you are not expecting,
Machine" by HG Wells.
machinery for appreciating this.
machines .
machine. And he thinks they're talking about helicopters.
Machines tend to be favored in people's opinion when it comes to replacing jobs compared to replacing people
Machines and robots are very good at structured environments, moving boxes on assembly lines.
Machine learning, as we were talking about, with software that we're developing ourselves.
Machine learning for us has widened our capacity to explore everything we've ever loved.
Machines can be changed.
Machines can be added to, modified, another rotor can be put on the Enigma.
Machine learning, artificial-- For sure.
machinery make more viruses.
machines to make decisions for high stakes kinds of environments like, let's say, credit approval, loan approval, or recruiting, and so on?
Machines may carry out functions with different degrees of automation, but ultimately, human judgments are required to comply with those laws.
machines more complicated.
machines , manual pour over methods.
Machines won't do meaning.
Machines today they have tons of memory anyhow.
Machine keeps trying, and trying, and trying.
Machines -- machines that play chess, machines that juggle, machines that are flame-throwing trumpets, and yeah, how about the curation of information theory?
Machine learning is the topic could, the work right now in artificial intelligence.
machine, which, if you have that, I'll come over after this is done and We'll make ice cream.
Machines have been replacing blue collar jobs.
Machines could get better and better.
Or are you going to start to explore some other machines ?
machines that were the computers at the time they still trusted the human computers and because they were African-American they were called
machines like this they're kind of more boxy um and stuff they usually work in the X and Y as the extruder and then the
machine is they're like well why do you have two Motors uh with two screws on each side why don't you just use one
machine learning but there are in the law for example you need a license to
machines when I was a a working work a day engineer um we have done that you
machines that can perform functions there's almost existing technology on that side the stuff that you guys work on in sensory perception side we make
machines in a way that people will find
machine nature will help to inform us about our own human nature that's there is a more or less equilibrium between demand and Supply in
machine you can go forward or back your guaranteed safe
machine, and it took me about 35 takes, and I had a nervous breakdown in the process. I was like, "That's great.
machine it is not requisite to know what arithmetic