Mind Matters News and Analysis on Natural and Artificial Intelligence

CategoryMachine Learning

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Are sex robots a cure for loneliness?

Maybe, in a culture where people see themselves as machines
Nancy Pearcey, who is the author of Love Thy Body: Answering Hard Questions about Life and Sexuality, reminds us that the most popular metaphor for the universe today is a vast machine. Read More ›
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Can a stuffed toy turn into a robot?

Maybe to amuse a sick child? With the right skin, yes.
Robotic skins were developed at Yale for possible uses in space flight or search-and-rescue. But animating ordinary bendable objects is surely a fun way to introduce the idea. Read More ›
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George Gilder talks tech at World News Daily

In a three-part interview the tech philosopher explains why he thinks Google is doomed
“The Google dream is a supermind in the sky that knows everything,” Gilder told WND. “My dream is to distribute information as human minds are distributed.” Read More ›
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Do either machines—or brains—really learn?

A further response to Jeffrey Shallit: Actually, brains don’t learn either. Only minds learn.
Learning is an ability of human beings, considered as a whole, to acquire new knowledge, not an ability of human organs considered individually. Read More ›
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The Hills Go High Tech

An American community finding its way in the new digital economy
At present, says Hochschild, Ankur Gopal and Interapt are sourcing as many new hillbillies as they can find: “For now, there is so much demand for I.T. workers — 10,000 estimated openings by 2020 in the Louisville metro area alone — that Mr. Gopal is reaching out to new groups. Read More ›
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Digital dictatorship?

China’s “social credit” system coming under scrutiny
It is not clear that most Chinese people understand the implications yet but many in the industry do. As of September 16, over 1400 Google employees had signed a letter of protest against Google’s involvement in Chinese censorship.   Read More ›
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You Have Just Six Emotions

At least it would be easier for the machines if we did
Efforts to enable machines to read our emotions are hitting a roadblock and, oddly enough, Charles Darwin, founder of popular evolution theory, plays a role in getting it wrong. Read More ›
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Is the future of jobs over?

Should people be paid to let machines do the work?
Recently, there have been short-term limited experiments with a Universal Basic Income but it’s hard to evaluate a transformative social policy with such limited and cherry-picked data. And, says Richards, paying people not to work would simply slow their move into the job markets of the digital age. Read More ›
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The true cost of “free” social media

It’s free but… are we? George Gilder points a way forward.
He thinks that expected massive increases in computing power will enable blockchain technologies that allow users to safely bypass the global data monopoly that Google and similar firms represent. Read More ›
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Senior Google scientist quits over Google’s censorship in China

He believes it “contravenes widely accepted principles of international law and human rights”
Some believe that any censorship system that a human being can develop can somehow be got around by another human being. China may provide a way of testing that.   Read More ›
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How Bitcoin Works: The social value of trust

The idea of employing such a game to guarantee validity in a trustless environment is nothing short of groundbreaking. It is an amazing accomplishment, and I am impressed by it more each time I think about it. However, it does have some drawbacks, which, I think, will ultimately lead to its demise. Read More ›
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Twitter doesn’t just seem out of control

It actually is.
Social media may be changing the world more than we think. And we may need some social leadership in fighting back against Twitter mobs. It probably won’t emerge from within because bullies are usually cowards. Read More ›
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Google branches out into politics

Unfortunately, the only political model it would likely know is: One-party state
The unchallenged manipulation of search engine results during elections is a new phenomenon made possible by the domination of the internet by a few big players. Read More ›
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How do robots “care”?

Emotional robots’ cameras and sensors respond to your facial expressions, tone of voice, and movements
Critics of the emotional robotics industry say that the view of emotions (assumed in the industry to be only six) is oversimplified and that the robots are likely to promote stereotypes. Read More ›
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Can machines really learn?

A parable of a book that learned
Machine learning is a powerful and important tool that is likely to be of great value (and perhaps great risk) to man. Machines can be designed to change with time but it is man, and only man, who learns. Read More ›
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What is learning anyway?

Machine learning specialist George Montañez reflects on the question in a video excerpt from the CNAI gala
Can we make approximations that are so close to ourselves that the fact that they are approximations no longer matters? Read More ›
Building a better future

“Artificial” Artificial Intelligence

What happens when AI needs a human I?
Artificial intelligence often fails at crucial points. It must then be supplemented by human intelligence. Many software systems that look to their users like pure advanced artificial intelligence hide a lot of human effort behind a technological mask. Read More ›