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Articles on Neural networks

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AI chatbots still struggle to understand the impact of their words. (Shutterstock)

Teaching chatbots how to do the right thing

The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.
All that computer power will still need a helping hand from our uniquely human expertise. Computers image via www.shutterstock.com

Beyond today’s crowdsourced science to tomorrow’s citizen science cyborgs

Computers are getting better and better at the jobs that previously made sense for researchers to outsource to citizen scientists. But don’t worry: there’s still a role for people in these projects.
Spectators in South Korea look on as AlphaGo takes on Go champion Lee Se-dol. EPA/JEON HEON-KYUN

AI has beaten us at Go. So what next for humanity?

A machine has bested us at yet another intellectually challenging game. It shows artificial intelligence is progressing rapidly, but it doesn’t mean humans are redundant quite yet.
Lining up potential pitfalls: nonexperts and computers may misinterpret the vertical line in this image as a natural feature rather than a result of a mosaic compilation of multiple satellite images. Google Earth

In sea of satellite images, experts’ eyes still needed

Expert image analysts have an important role to play, even in an age of computer interpretation and crowdsourcing.
Your brain scan told me your mind would wander. Boy image via www.shutterstuck.com

Brain connections predict how well you can pay attention

Particular parts of an individual’s brain tend to work together on certain tasks. Researchers can look at these patterns of “functional connectivity” to predict traits – like the ability to pay attention.

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