Brain-inspired AI inspires insights about the brain (and vice versa)

Researchers have described the results of experiments that used artificial neural networks to predict with greater accuracy than ever before how different areas in the brain respond to specific words. The work employed a type of recurrent neural network called long short-term memory (LSTM) that includes in its calculations the relationships of each word to what came before to better preserve context.

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The inbis channel: The most complete submarine cartography

A scientific study describes for the first time the submarine cartography of a high-latitude system in the IBIS channel, which covers tens of kilometers in the northern western area of the Barents Sea, in the Arctic Ocean. This channel is one of the few submarine valleys in polar latitudes that kept its geological architecture during the Last Glacial Maximum (LGM).

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Robotic ‘gray goo’

Researchers have demonstrated for the first time a way to make a robot composed of many loosely coupled components, or 'particles.' Unlike swarm or modular robots, each component is simple, and has no individual address or identity. In their system, which the researchers call a 'particle robot,' each particle can perform only uniform volumetric oscillations (slightly expanding and contracting), but cannot move independently.

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