Mind Matters Natural and Artificial Intelligence News and Analysis

Yearly Archive 2020

black mathematics board with formulas

Faith Is the Most Fundamental of the Mathematical Tools

An early twentieth century clash of giants showed that even mathematics depends on some unprovable assumptions

David Hilbert wanted all mathematics to be proved by logical steps. Kurt Gödel showed that no axiomatic system could be complete and consistent at the same time.

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Man caressing a tame black fox

Tame Animals, Not Wild Ones, Are Mysterious

A recent discovery about tame foxes sheds some light but deepens the larger mystery

New research puts us back where we started. The foxes are tame. But why are they tame? Other foxes are decidedly not tame. Why is it so easy to “tame” dogs and cats but not wolves and bobcats? 

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GPS navigator in desert

AI Should Mean Thinking Smarter, Not Less

We should be all the more engaged when we use technology

Tim Harford points to the Sanchez tragedy to raise an important question: How do we know when a given technology is really helping us? And when we are taking too great a risk or paying too high a price?

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Lost-in-Space-Publicity-Still-IMDB

Lost in Space, A Mind Matters TV Series Review

I was skeptical at first, based on Netflix's track record, but was pleasantly surprised

If I could rewind time a week and add a piece of 2019 sci-fi to my list of the year’s Best and Worst Sci-Fi TV, I would add Netflix’s Lost in Space, Season 2—which came out just after I had published. Let's fix that now.

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Group Of Businesspeople Identified By AI System

How To Fool Facial Recognition

Changing a couple of pixels here and there can stump a computer

Both computers and humans can be fooled by patterns that appear significant but really aren’t. But the bigger the computer, the more random patterns it can find in the vast swathes of data processed.

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Robot Predicting Future With Crystal Ball

Five AI Predictions to Watch in 2020

We'll check on these a year from now

Some problems experts hope AI can help with may be outside AI's capacities. Some people may simply want to believe doctored images and deepfakes, for example.

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