SOURCE-LINKED INTELLIGENCE

Growing Machines Capable of Rapid Learning in Unknown Environments

CORDIS · observation · Publication date unknown

Growing Machines Capable of Rapid Learning in Unknown Environments "Despite major advances in the field of artificial intelligence, especially in the field of neural networks, these systems still pale in comparison to even simple biological intelligence. Current machine learning systems take many trials to learn, lack common-sense, and often fail even if the environment only changes slightly. The enormous potential of autonomous machines remains unfulfilled and we still lack robots to fill our dishwashers or go on autonomous search-and-rescue missions. The grand goal of GROW-AI is to create machines with a more general intelligence, allowing rapid adaption in unknown situations. In stark contrast to current neural networks, whose architectures are designed by human experts and whose large number of parameters are optimized directly, evolution does not operate directly on the parameters of biological nervous systems. Instead, these nervous systems are grown and self-organize through a much sma

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recordType

award

status

SIGNED

region

EU

value

1994225

unit

EUR