Machine in sentence

1914 examples of Machine in a sentence

And we know that these jobs might be in different industries, they might be in different occupations and at different skill levels, but because they are innately predictable, we know they're probably at some point going to be susceptible to machine learning, and therefore, to automation.

Aside from keeping the rain out and producing some usable space, architecture is nothing but a special-effects machine that delights and disturbs the senses.

With big data and machine learning, that's not how it works anymore.

And these things only work if there's an enormous amount of data, so they also encourage deep surveillance on all of us so that the machine learning algorithms can work.

We have to face and try to deal with the lack of transparency created by the proprietary algorithms, the structural challenge of machine learning's opacity, all this indiscriminate data that's being collected about us.

This is the guy that invented it, Sir Clive Sinclair, and he's showing his machine.

Unlike any pop culture phenomenon before it, video games actually allow us to become part of the machine.

Chris Anderson: Help us understand what machine learning is, because that seems to be the key driver of so much of the excitement and also of the concern around artificial intelligence.

How does machine learning work?

Sebastian Thrun: So, artificial intelligence and machine learning is about 60 years old and has not had a great day in its past until recently.

What you see here is the machine learning version of it.

"Neural networks" is the technical term for these machine learning algorithms.

CA: And do I hear this right, that it seemed like what you were saying, because you are working with this army of Udacity students, that in a way, you're applying a different form of machine learning than might take place in a company, which is you're combining machine learning with a form of crowd wisdom.

So yeah, the synthesis of great people and great machine learning is amazing.

It's been the combination of human smarts and machine smarts that make us stronger.

And what machine learning is is a rewriting of the rules.

And then back in the day, there was no real stage, but Chris and I hang out with the cows in the stable, and he says, "I'm really concerned about it, because I milk my cow every day, and what if the machine does this for me?"

But can you make a french fry machine out of an old car?

In this machine, a beam of protons and antiprotons are accelerated to near the speed of light and brought together in a collision, producing a burst of pure energy.

So this particular student, James King, went around the beautiful English countryside, picked the best, best cow that he could see, and then put her in the MRI machine.

Rapid manufacturing is a computer file sent directly from the computer to the manufacturing machine.

It's a machine to get you to work on time and back, and we're all complicit in wanting the routines to be fixed and for everybody to be able to know what's going to happen next.

And that's to say nothing of his idea of a goose machine that could go to the Moon.

And while this idea of a voyage to the Moon by goose machine might not seem particularly insightful or technically creative to us today, what's important is that Godwin described getting to the Moon not by a dream or by magic, as Johannes Kepler had written about, but rather, through human invention.

And although this idea of a balloon-borne voyage to the Moon may seem not much more technically sophisticated than the goose machine, in fact, Poe was sufficiently detailed in the description of the construction of the device and in terms of the orbital dynamics of the voyage that it could be diagrammed in the very first spaceflight encyclopedia as a mission in the 1920s.

Furthermore, when you couple the skin conductance at the top with the movement from the wrist and you get lots of data and train machine learning and AI on it, you can build an automated AI that detects these patterns much better than just a shake detector can do.

So we had started with work on stress, which had enabled us to build lots of sensors that were gathering high quality enough data that we could leave the lab and start to get this in the wild; accidentally found a whopper of a response with the seizure, neurological activation that can cause a much bigger response than traditional stressors; lots of partnership with hospitals and an epilepsy monitoring unit, especially Children's Hospital Boston and the Brigham; and machine learning and AI on top of this to take and collect lots more data in service of trying to understand these events and if we could prevent SUDEP.

This is now commercialized by Empatica, a start-up that I had the privilege to cofound, and the team there has done an amazing job improving the technology to make a very beautiful sensor that not only tells time and does steps and sleep and all that good stuff, but this is running real-time AI and machine learning to detect generalized tonic-clonic seizures and send an alert for help if I were to have a seizure and lose consciousness.

This is a three-dimensional machine.

This is the first flying machine.

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