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Artificial intelligence (AI)

Google’s AI beat humans at a game that involved racing around an unfamiliar virtual environment

Ian Sample Science editor

@iansample

This article is over 2 months old

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Notch up another win for the robots: the latest program from Google’s artificial intelligence group, DeepMind , has trounced experts at a maze game after it learned to find its way around like a human.

Scientists noticed that when they trained the AI to move through a landscape, it spontaneously developed electrical activity akin to that seen in the specialised brain cells that underpin human navigational skills. So-called ‘grid cells’ were only identified in animals in 2005 in work that earned researchers a Nobel prize .

The latest breakthrough reveals the potential for human brain-like activity to emerge from scratch in AI systems. Beyond making smarter programs, it paves the way for computer engineers to build models that help neuroscientists better understand the human brain.

After discovering the AI-made grid cells, the DeepMind researchers made a beefed-up version of the program. It went on to beat experienced players at a game that involved racing through rooms to find a prize after being dropped into the virtual environment at a random location. Equipped with the artificial grid cells, the AI was faster and found shortcuts that would occasionally crop up when doors in the environment suddenly opened.

“It is doing the kinds of things that animals do and that is to take direct routes wherever possible and shortcuts when they are available,” said Dharshan Kumaran, a senior researcher at DeepMind. “With the grid cells, its performance is markedly enhanced to the point that it surpasses an expert human player.”

The feat marks a milestone in the field of artificial intelligence. Until now the technology used has proved itself to be superhuman at object recognition and games such as chess, Go, and poker , but not at the very different cognitive challenge of efficient navigation.

But the research opens up fresh possibilities too. Because the AI program developed brain-like activity from scratch, scientists believe that a similar approach could shed light on other mysterious processes in the human brain, such as how limbs are controlled. And it could do so without any need for animal or human experimentation.

“There is no reason why we couldn’t use this to understand different functions that the brain performs. It could be a testbed for experiments you wouldn’t otherwise do,” said Caswell Barry, a neuroscientist at University College London who worked on the project.

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Space

Artsit impression for Planet Nine. NASA

By Alfredo Carpineti
13 Jul 2017, 17:37
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Spanish researchers conducting a study on the furthest objects in the Solar System have uncovered new evidence to support the existence of an undiscovered massive distant planet in the Solar System.

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and the first piece of evidence was how the orbits of trans-Neptunian objects (TNOs) are all distributed in certain directions. This was proposed by researchers at Caltech in January 2016 and several new pieces of evidence have been added since then. Another group of researchers working on TNOs detected some observational biases in their own work and suggested that the Planet Nine evidence based on TNOs needed to be checked again.

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In a paper, published in the Monthly Notices of the Royal Astronomical Society: Letters , researchers from the University of Madrid have used a new technique to study some of the most distant objects in the SolarSystem, aptly named extreme trans-Neptunian objects (ETNOs).

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ETNOs are at least 150 times further from the Sun than the Earth (150 Astronomical Units, 1 AU = distance from Earth to Sun) and they don’t cross Neptune’s orbit. The team performed the best measurement to date of the nodes of the ETNOs. The nodes are the two points where the orbit of a celestial body crosses the plane of the Solar System. The nodes' position mainly depends on the size and shape of the orbit, which makes them quite free from observation bias.

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Click here for the most up-to-date listing of Wood Badge and NYLT Course Director’s Conferences in your region or area and across the nation. The accompanying links for registering for each conference will be available as listed. Many of this year’s Course Director’s Conferences have been combined with other functional conferences, creating an atmosphere of learning on a larger scale and allowing for the sharing of resources and ideas. You will find these Area Training Conferences listed here as well.

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