Computers? yeah. It's very overcrowded.
Computers in the classroom.
Computers. We've been automating for a long time, and yet 2% growth
computers. I mean, this is a case if I can get on a small soapbox, where people back then said, "Well, why are you messing around with magnets and
computers pick the thousand. And then we pass those through analysis software and hand them to the graduate students, and they pick through them, looking and
compute to compress because that's more costly versus both costly both financially and in CPU resources— ... versus the decompression. So it's asymmetric in that respect. Uh,
computers. When you're designing a company, you should first think about what is it that you want the company to produce. You know, I see
computing company,
compute is going in at pre-training. Because you can still make a model better, you still want to go and revisit this. You still want the best base model
compute resources, you want to do all of them. So you have training, you have inference scaling, and training is like a hierarchy: it's pre-training, mid-training,
compute, then that's going to be resilient to everything the world throws at you. I suppose if you have people managing all of it, it becomes stale quickly.
computers of the future. We're one of a billion trillion zillion
computerization. And as you get into robotics, you're going to have that happen, right?
computers, no cell phones, there's no internet. You wrote stuff down. And so, the contents in your head
compute um and and you know compute information and in some sense be be
computer simulations? Do we know what they look like?
Computers can play chess pretty well.
Computer vision, machine learning and artificial intelligence have revolutionized every discipline that deals with images, from remote sensing
computers if we can figure out how to really scale them efficiently and build-- we don't need super-large-scale quantum computers.
computing .
computing on beads, computing on hand-cranked mechanical devices.
Computing , and also a widely read author, again amongst many other accomplishments.
Computers make things perfect.
computers are invisible, behind the scene, helping us, supporting us, and augmenting our everyday activities.
computerized brain interfaces, and the newest stem cell methodologies in the context of aggressive rehabilitation
computers, and so on.
Computers are made by little electronic circuits, which are computed and designed using quantum mechanics and work thanks to quantum phenomena, small quantum things.
compute loads to match demand on the grid and to match supply of renewable energy.
computational technology if you want to find ways to predict these ecosystems for example we don't have a very good
computer science coding. Then you have this disparity of the black population and colored because South Africa
Computer is-- technology is ruining things.
Computers have made things much easier.
Computer can predict people's personality with the same accuracy as your work colleagues can after having interacted with you for some time.
Computers can also do it on the individual level.
Computer scientists devised elaborate ways to help computers decide which sentence meanings were statistically most sensible, but for all the effort involved
Computer science and theater.
Computer Science. So they're numbered and they go up to like 24.
Computation, sensors, networks, AI, robotics, 3D printing, synthetic biology, AR, VR, block chain-- all those technologies are themselves accelerating.
Computers took the place of people in doing calculations.
Computers-- very large, very expensive.
Computers get faster, so password guessing gets faster as computers get faster, not because we're smarter about it.
Computers that can do things.
computers, today we should be talking about, and we are talking about, for example,
computer impact in the terms of privacy, security.
Computers don't actually make effort.
Computers aren't striving selves, and striving selves are not computers.
computing power-- how many options or possibilities do we have if we've got six variables?
computers to experience emotion is to be able to develop computing systems that
computer scientists that the president of MIT worried aloud that the future of computer science education in the United States was questionable,
Computers search-- artificial intelligence.