Q.Write a paragraph on " Robots " in the 2050s ! • Word limit 70
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The smartphone, the web and their ancillaries would have seemed magic even 20 years ago. So, looking several decades ahead, we must keep our minds open, or at least ajar, to innovations that might now seem science fiction.
There’s been exciting advances in what’s called generalised machine learning. The London-based company DeepMind last year achieved a remarkable feat, its computer beat the world champion in the game of Go, and Carnegie-Mellon University in Pittsburgh has developed a machine that can bluff and calculate as well as the best human players of poker.
Of course, it’s 20 years since IBM’s ‘Deep Blue’ beat Garry Kasparov, the world chess champion. But Deep Blue was programmed in detail by expert players. In contrast, the machines that play Go and Poker gained expertise by absorbing huge numbers of games and playing against themselves. Their designers don’t themselves know how the machines make seemingly insightful decisions.
The speed of computers allows them to succeed by ‘brute force’ methods. They learn to identify dogs, cats and human faces by ‘crunching’ through millions of images, not the way babies learn. They learn to translate by reading millions of pages of, for example, multilingual European Union documents (they never get bored!).
But advances are patchy. Robots are still clumsier than a child in moving pieces on a real chessboard. They can’t tie your shoelaces. But sensor technology, speech recognition, information searches and so forth are advancing apace.
They won’t just take over manual work, indeed plumbing and gardening will be among the hardest jobs to automate, but routine legal work (conveyancing and suchlike), medical diagnostics and even surgery.
Can robots cope with emergencies? For instance, if an obstruction suddenly appears on a crowded highway, can Google’s driverless car discriminate whether it’s a paper bag, a dog or a child? The likely answer is that its judgement will never be perfect, but will be better than the average driver. Machine errors will occur, but not as often as human error, but when accidents occur, they will create a legal minefield. Who should be held responsible – the ‘driver’, the owner, or the designer?
The big social and economic question is this: Will this ‘second machine age’ be like earlier disruptive technologies, the car for instance, and create as many jobs as it destroys? Or is it really different this time?
The money ‘earned’ by robots could generate huge wealth for an elite. But to preserve a healthy society will require massive redistribution to ensure that everyone had at least a ‘living wage’, and to create and upgrade public-service jobs where the human element is crucial and is now undervalued and demand is huge, especially carers for young and old, but also custodians, gardeners in public parks and so on.
But let’s look further ahead.
HOPE IT HELPED YOU
Be BRAINLY, ✌️✌️
There’s been exciting advances in what’s called generalised machine learning. The London-based company DeepMind last year achieved a remarkable feat, its computer beat the world champion in the game of Go, and Carnegie-Mellon University in Pittsburgh has developed a machine that can bluff and calculate as well as the best human players of poker.
Of course, it’s 20 years since IBM’s ‘Deep Blue’ beat Garry Kasparov, the world chess champion. But Deep Blue was programmed in detail by expert players. In contrast, the machines that play Go and Poker gained expertise by absorbing huge numbers of games and playing against themselves. Their designers don’t themselves know how the machines make seemingly insightful decisions.
The speed of computers allows them to succeed by ‘brute force’ methods. They learn to identify dogs, cats and human faces by ‘crunching’ through millions of images, not the way babies learn. They learn to translate by reading millions of pages of, for example, multilingual European Union documents (they never get bored!).
But advances are patchy. Robots are still clumsier than a child in moving pieces on a real chessboard. They can’t tie your shoelaces. But sensor technology, speech recognition, information searches and so forth are advancing apace.
They won’t just take over manual work, indeed plumbing and gardening will be among the hardest jobs to automate, but routine legal work (conveyancing and suchlike), medical diagnostics and even surgery.
Can robots cope with emergencies? For instance, if an obstruction suddenly appears on a crowded highway, can Google’s driverless car discriminate whether it’s a paper bag, a dog or a child? The likely answer is that its judgement will never be perfect, but will be better than the average driver. Machine errors will occur, but not as often as human error, but when accidents occur, they will create a legal minefield. Who should be held responsible – the ‘driver’, the owner, or the designer?
The big social and economic question is this: Will this ‘second machine age’ be like earlier disruptive technologies, the car for instance, and create as many jobs as it destroys? Or is it really different this time?
The money ‘earned’ by robots could generate huge wealth for an elite. But to preserve a healthy society will require massive redistribution to ensure that everyone had at least a ‘living wage’, and to create and upgrade public-service jobs where the human element is crucial and is now undervalued and demand is huge, especially carers for young and old, but also custodians, gardeners in public parks and so on.
But let’s look further ahead.
HOPE IT HELPED YOU
Be BRAINLY, ✌️✌️
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The Robots are going to be the future of artificial intelligence in future . Its 2019 and still we have a no. of humanoid robots . ATLAS , Nao , Petman , Sophia are just to name a few . I think Robots are quite efficient to make our work a thousand times easier . we've got a robot for almost everything in the factories . But this is making us lazy too. We are totally dependent on Robots . During the 2050s when we are going to be surrounded by robots from all around . We are going to be dependent on robots so bad that are body is going to be work-shy. We would've developed obesity and would've gone quite lazy . I think we should be dependent on robots upto a little but too far .
Hope it helps...
Anonymous:
I think it fulfills ur word limit
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