Machine in sentence

1914 examples of Machine in a sentence

Doomsayers predicted that nobody would touch the game that could be conquered by the machine, and they were wrong, proven wrong, but doomsaying has always been a popular pastime when it comes to technology.

But in this first experiment, we both failed to combine human and machine skills effectively.

A weak human player plus a machine plus a better process is superior to a very powerful machine alone, but more remarkably, is superior to a strong human player plus machine and an inferior process.

Human plus machine isn't the future, it's the present.

Then we use our human experience to make sense out of that, and then the machine learns from our corrections.

The machine crunches data, calculates probabilities, gets 80 percent of the way, 90 percent, making it easier for analysis and decision-making of the human party.

That Rube Goldberg machine, it had about 130 interactions in it.

What if you augmented that wonderful machine with just the right technology?

With our growing capabilities in neuroscience, artificial intelligence and machine learning, we may soon know a lot more of what's happening in the human brain.

Over the years, my many journeys have brought back things like a new species of synthetically engineered bees; a book named, "Pets as Protein;" a machine that makes you rich by trading your genetic data; a lamp powered by sugar; a computer for growing food.

For instance, we've just finished building our first fully automated fogponics machine.

And from this and machine learning, anybody who uploads this data, we can identify and tell the probability of what species of mosquitoes you're actually working with.

Now, this is a really easy question to answer if one of you would like to give me a time machine.

But I'm going to be honest with you: if I had a time machine, I would not be hanging out at this particular point in history.

Somehow, within each of our brains, the combined activity of many billions of neurons, each one a tiny biological machine, is generating a conscious experience.

Big data is able to offer insights at scale and leverage the best of machine intelligence, whereas thick data can help us rescue the context loss that comes from making big data usable, and leverage the best of human intelligence.

NSA's Skynet machine learning algorithm has possibly aided in the deaths of thousands of civilians in Pakistan from misreading cellular device metadata.

A lot of people think that a robot is a machine where there's a computer that's telling it what to do, and the computer is listening through its sensors.

The whole machine in 2013 that took art online and outputted money was totally nonfunctional.

This is when the band had hit our first machine, so things were really cranking.

Creators are going to come out the other end of this weird 100 years, this century-long journey, with an awesome new machine.

I think the purpose of AI is to empower humans with machine intelligence.

But when they combine the ability of the machine and the human together, accuracy went to 99.5 percent.

Now, for the curious, it turns out that the human was better at rejecting false positives, and the machine was better at recognizing those hard-to-spot cases.

The lesson here is that by combining the abilities of the human and machine, it created a partnership that had superhuman performance.

The human engineer now says what the design should achieve, and the machine says, "Here's the possibilities."

And that is why, every time a machine gets smarter, we get smarter.

The machine basically does the same.

Then the machine reads the page.

A fully automatic math-solving machine has been a dream since the birth of the word "artificial intelligence," but it has stayed at the level of arithmetic for a long, long time.

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