machine

Machines do most of the planting and picking, and carrots are easy to store and ship.

It will be possible to create more sophisticated moral machines, if only we can find a way to set out human values as clear rules.

Informing students about the brain as a learning machine is a good strategy to enhance their motivation for learning.

In addition, parents and teachers can help children by providing explicit instruction regarding the mind as a learning machine.

Bedrooms and cars are the most obvious examples, but you can also rent camping spaces in Sweden, fields in Australia and washing machines in France

The video machine has to be checked.

It turns out that the guy operates the printing machine with amazing speed, and soon he's turning out newspapers with shocking headlines.

In fact, 80% of Spain's machine tools are from the Basque Country.

Teaching ethics to a machine even more intelligent than we are will be the bigger challenge.

They are already on California roads, so it is not too soon to ask whether we can program a machine to act ethically.

No average person wants to figure out whether their favorite calendar software works with their fridge or whether their washing machine and tablet get along.

A bathing machine was rolled down to the sea shore, so women would not be seen in swimwear.

A machine can read millions of essay within minutes.

As the databases grew, machine accuracy dipped across the board.

For decades, researchers and law enforcement agencies have tried to build a machine that will do the same thing.

Nicholas Carr, author of The Shallows: What the Internet Is Doing to Our Brains, wrote, "The net is designed to be an interruption system, a machine geared to dividing attention."

If I'm right, we should foster a creative spirit because a dose of illogical creativity will complement the rationality of the machine.

In studies, he gave subjects a chance to deceive for monetary gain while examining their brains in a functional Mri machine, which maps blood flow to active parts of the brain.

Let's hope they' re wise enough not to be fooled by a machine that claims to determine truthfulness at the flip of a switch.

Machine learning is now capable of far, far more complex tasks.

Machines also had difficulty adjusting for people who look a lot alike—either doppelgangers, whom the machine would have trouble identifying as two separate people, or the same person who appeared in different photos at different ages or in different ligh

No average person wants to figure out whether their favorite calendar software works with their fridge or whether their washing machine and tablet get along.

Several companies around the world have produced prototypes that can drive on roads and fly, airbus has a futuristic modular concept involving a passenger capsule that can be detached from the road- going chassis and picked up by a helicopter-type machine

So we must aim to complement the rationality of the machine, rather than to compete with it.

Some have 26 vanished from the face of the earth, others are dying slowly, but all have 27 undergone changes as they have come into contact with an 28 expanding machine civilization.

The company might be very optimistic, but the ability of their machine to detect deception has not provided credible proof.

The fundamental limitation of machine learning is that it needs to learn from large volumes of past data.

A machine with a specific purpose has another quality, one that we usually associate with living things: a wish to preserve its own existence.

Buy it from a fare card machine in metro stations.

Even when the machines are recycled and the harmful metals removed, the recycling process often is carried out in poor countries, in practically uncontrolled ways which allow many poisonous substances to escape into the environment.

Farecard machine are in every station, bring small bills because there are no change machines in the station and farecard machine only provide up to $ 5 in change.

For the machine, this quality is not in-born, nor is it something introduced by humans; it is a logical consequence of the simple fact that the machine cannot achieve its original purpose if it is dead.

Help super intelligent machines work better.

Hollywood's theory that machines with evil minds will drive armies of killer robots is just silly.

If we are not careful, then, we could face a kind of global chess match against very determined, super intelligent machines whose objectives conflict with our own, with the real world as the chessboard.

Machines with specific purposes are associated with living things partly because they might be able to prevent themselves from being destroyed.

My washing machine is being repaired this week, so I have to wash my clothes by hand.

Others say we can just "switch them off" as if super intelligent machines are too stupid to think of that possibility.

Reaching over to my collection of CDs, I blindly took one out, put it in the machine and played it.

Recent development has made possible machines that print, cook, and serve foods on a mass scale.

Some argue that humans and machines can coexist as long as they work in teams—yet that is not possible unless machines share the goals of humans.

Some researchers argue that we can seal the machines inside a kind of firewall, using them to answer difficult questions.

There are probably decades in which to plan for the arrival of super intelligent machines.

They are connected to change machines.

This makes a fun activity for a children's party; they love feeding the fruit and frozen bananas into the top of the machine and watching the ice cream come out below.

We have yet to invent a firewall that is secure against ordinary humans, let alone super intelligent machines.

Such food service operators range from snack machines to large institutional catering ventures, but most of these businesses are known in the trade as “horeca”： hotels, restaurants and cafes.

The second half of the 20th century saw a collection of geniuses, warriors, entrepreneurs and visionaries labour to create a fabulous machine that could function as a typewriter and printing press, studio and theatre, paintbrush and gallery, piano and radio, the mail as well as the mail carrier.

The networked computer is an amazing device, the first media machine that serves as the mode of production, means of distribution, site of reception, and place of praise and critique.

The computer is the 21st century's culture machine.

For all the possibilities of our new culture machines, most people are still stuck in download mode.

In previous eras of drastic technological change, entrepreneurs smoothed the transition by dreaming up ways to combine labor and machines.

Destroying the machines that are coming for our jobs would be nuts.

The concept of man versus machine is at least as old as the industrial revolution, but this phenomenon tends to be most acutely felt during economic downturns and fragile recoveries.

The first step, as Erik Brynjolfsson and Andrew MeAfee argue in The Second Machine Age, should be rethinking education and job training.

The second half of the 20th century saw a collection of geniuses, warriors, entrepreneurs and visionaries labour to create a fabulous machine that could function as a typewriter and printing press, studio and theatre, paintbrush and gallery, piano and rad

The younger they learn how computers think, how to coax the machine into producing what they want 一 the earlier they learn that they have the power to do that 一 the better.

This argument has attracted a lot of attention, via the success of the book Race Against the Machine, by Erik Brynjolfsson and Andrew McAfee, who both hail from MTI's Center for Digital Business.

We are just in a situation where there are no good theories explaining what consciousnesss actually is and how you could ever build a machine to get there.

We need to reframe race against the machine as race with the machine.