Machine in sentence

1914 examples of Machine in a sentence

Researchers recently have looked at the question of biopsies, cancerous biopsies, and they've asked the computer to identify by looking at the data and survival rates to determine whether cells are actually cancerous or not, and sure enough, when you throw the data at it, through a machine-learning algorithm, the machine was able to identify the 12 telltale signs that best predict that this biopsy of the breast cancer cells are indeed cancerous.

Three of the traits were ones that people didn't need to look for, but that the machine spotted.

While our body is still and our mind is off walking in dreams somewhere, the elegant machinery of the brain is quietly hard at work cleaning and maintaining this unimaginably complex machine.

Three years ago, when I found out that my father had suffered a severe stroke in his brain stem, I walked into his room in the ICU at the Montreal Neurological Institute and found him lying deathly still, tethered to a breathing machine.

But my photographs only told the outside story of a man lying in a hospital bed attached to a breathing machine.

There are lots of reasons for that, but there's no doubt that one sputtering fax machine in Geneva was a little bit of a bandwidth constraint in terms of the ability to get a message to lots of people.

By the time I got there, she was about to be intubated and put on a breathing machine.

This is back in 1964, when the technical managers have suits and ties and NRK rolled all its equipment on board a ship, and 200 meters out of the shore, transmitting the signal back, and in the machine room, they talked to the machine guy, and on the deck, they have splendid entertainment.

In those days, my dad brought home a huge machine, a computer.

So Arthur Samuel was the father of machine learning, and I have a great debt to him, because I am a machine learning practitioner.

I was the president of Kaggle, a community of over 200,000 machine learning practictioners.

So from this vantage point, I was able to find out a lot about what machine learning can do in the past, can do today, and what it could do in the future.

Perhaps the first big success of machine learning commercially was Google.

Google showed that it is possible to find information by using a computer algorithm, and this algorithm is based on machine learning.

Since that time, there have been many commercial successes of machine learning.

Companies like Amazon and Netflix use machine learning to suggest products that you might like to buy, movies that you might like to watch.

Companies like LinkedIn and Facebook sometimes will tell you about who your friends might be and you have no idea how it did it, and this is because it's using the power of machine learning.

We don't know how to write those programs by hand, but with machine learning, this is now possible.

One of the most amazing examples I've seen of machine learning happened on a project that I ran at Kaggle where a team run by a guy called Geoffrey Hinton from the University of Toronto won a competition for automatic drug discovery.

(In Chinese) (Applause) Jeremy Howard: Well, that was at a machine learning conference in China.

Very similarly, in Stanford, a group there announced that, looking at tissues under magnification, they've developed a machine learning-based system which in fact is better than human pathologists at predicting survival rates for cancer sufferers.

In each of those two cases, they were systems developed by a combination of medical experts and machine learning experts, but as of last year, we're now beyond that too.

So we do that for a while, we skip over a little bit, and then we train the machine learning algorithm based on these couple of hundred things, and we hope that it's gotten a lot better.

The Machine Learning Revolution is going to be very different from the Industrial Revolution, because the Machine Learning Revolution, it never settles down.

My next step is figuring out how to use artificial intelligence and machine learning to bring this project to scale and make it more accessible to other states.

So I spent 120 hours in an MRI machine.

They are a visceral response to the businesses and curators who work hard to oversimplify my beliefs and my community, and the only way to beat their machine is to play by different rules.

So we went together with these guys and we basically put this exoskeleton together, 15 degrees of freedom, hydraulic machine that can be commanded by brain signals recorded by a non-invasive technology called electroencephalography that can basically allow the patient to imagine the movements and send his commands to the controls, the motors, and get it done.

It is a smart shirt with micro-vibrating elements that basically delivers the feedback and fools the patient's brain by creating a sensation that it is not a machine that is carrying him, but it is he who is walking again.

So what I need to say is that no Turing machine, no computer can predict what a brain net will do.

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