Technology and artificial intelligence are already profoundly changing how we live, work and travel. Are we ready for more profound changes?
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Technology is already changing how we live our lives and go about our days. Are we ready with collaborative planning processes so we are not taken by surprise by more profound change?
It’s actually very hard to find photos of people with their eyes closed.
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Bees and wasps can recognise people’s faces – despite having less than one million brain cells, compared to 86,000 million brain cells that make up a human brain.
Machine learning is changing the world in ways that we are just beginning to appreciate. But could it change the way we do science and the reasons why we do science?
Reducing companies’ future strategic successes to the simple idea of an ever-faster reaction time overlooks human intelligence, the organic capital involved in shaping their future.
Biometric Mirror is an interactive application that takes your photo and analyses it to identify your demographic and personality characteristics.
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Barack Obama was asked to give the Mandela Lecture because he represents what the global liberation struggle icon stood for. He struck the right chord.
What does AI see in this picture?
NIH Image Gallery
With artificial intelligence, machines can now examine thousands of medical images for signs of disease. Will this technology replace doctors – or work side by side with them?
Technology drives fake news. Could it also stop the problem in its tracks?
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We used the latest techniques from artificial intelligence to study how support for or opposition to a piece of fake news can spread within a social network.
MIT’s experiment with a serial killing AI called Norman, based on Psycho’s Norman Bates, underscores the importance of ensuring we get it right when embedding AI with culture.
MIT
Artificial Intelligence is set to explode and, as a result, multiple versions of AI are bound to co-exist. It’s time to influence its development into a truly pan-global cultural environment.
‘Seeing’ through robot eyes.
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For roboticists looking to nature for inspiration on how animals see the world, there’s a tension between mimicking biology and capitalising on the advances in camera technology.
Project Debater looks like machines are ready to understand humans, but the reality is we’re still in the earliest days of AI.
In 1906, English statistician Sir Francis Galton observed the median answer of 800 participants trying to guess the weight of a cow was accurate within 1% of the correct answer.
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