Computers today are fast and powerful but they still can’t think like a human when it comes to some tasks we find easy. That’s why tech companies are turning to neuroscience for help.
The future and the past, money, technology and politics documented and imagined in fact and fiction, in an economist’s recommended reading.
Prometheus statue at Rockefeller Center, Manhattan. The inscription behind it is a paraphrase of Aeschylus that reads: “Prometheus, teacher in every art, brought the fire that hath proved to mortals a means to mighty ends”.
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Lenka Zdeborova, Commissariat à l’énergie atomique et aux énergies alternatives (CEA)
Methods stemming from decades of research on disordered materials are used to describe algorithmic phase transitions, and to design new algorithms in machine-learning problems.
Can artificial intelligence help us stop drowning in paperwork?
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While there is currently interest interest in artificial intelligence, it offers limited achievements, such as the autonomous car. Tomorrow, machines will learn alone and forge solutions.
Important advances have been made in the areas of automatic language processing and emotional computing, and that could have big implications for business.
The Supreme Court’s public reputation is strong in part because people see it as less political than other government branches. What can text analysis tell us about how accurate that perception is?
Driverless cars still need to ‘learn’ how to drive on our roads, especially at busy junctions.
Shutterstock/Karsten Neglia
We should all learn from mistakes. Driverless cars must do the same when it comes to any accidents they’ve been involved in on our roads, no matter who was to blame.
A noninvasive brain-computer interface based on EEG recordings from the scalp.
Center for Sensorimotor Neural Engineering (CSNE), Photo by Mark Stone
Brain-computer interfacing is a hot topic in the tech world, with Elon Musk’s announcement of his new Neuralink startup. Here, researchers separate what’s science from what’s currently still fiction.
Artificial intelligence is surrounded by fear and mystery because very few understand its inner workings. But it’s actually rather intuitive and far simpler than it seems.
Machines don’t make the same errors as humans when it comes to decisions based on visual analysis.
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