Self-learning robots go full steam ahead

Researchers from AMOLF's Soft Robotic Matter group have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected these simple robots in a line, after which each individual robot taught itself to move forward as quickly as possible. The results were published today in the scientific journal PNAS.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3uD0gbd
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