Credits: Courtesy of STEX25
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For all the progress that’s been made in the field of artificial intelligence, the world’s most flexible, efficient information processor remains the human brain. Although we can quickly make decisions based on incomplete and changing information, many of today’s artificial intelligence systems only work after being trained on well-labeled data, and when new information is available, a complete retraining is often required to incorporate it.
Now the startup Nara Logics, co-founded by an MIT alumnus, is trying to take artificial intelligence to the next level by more closely mimicking the brain. The company’s AI engine uses recent discoveries in neuroscience to replicate brain structure and function at the circuit level.