Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those seen in the human brain even before they undergo any training, according to new research from Johns Hopkins University.
The study, which was published in Nature Machine Intelligence, suggests that the design of an AI model may be more important than the extensive deep learning processes that often take months, require enormous energy use, and cost billions of dollars.
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