Artificial neural networks modeled on real brains can perform cognitive tasks. A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently. By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern, and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain. A team of researchers from The Neuro (Montreal Neurological Institute-Hospital) and the Quebec Artificial Intelligence Institute trained the ANN to perform a cognitive memory task and observed how it worked to complete the assignment.

Artificial neural networks modeled on the real brain can perform cognitive tasks. New research shows that artificial intelligence networks based on the connectivity of the human brain can perform cognitive tasks efficiently. By examining MRI data from large open science repositories, researchers reconstructed brain connection patterns and applied them to artificial neural networks (ANNs). ANN, like the biological brain, is a computing system consisting of multiple input and output units. A team of researchers at the Neuro (Montreal Institute for Neurology-Hospital) and the Quebec Institute for Artificial Intelligence train ANNs to perform cognitive memory tasks and observe how they work to complete assignments.

The information technology revolution has had dramatic effects on jobs and the labor market. Many routine and manual tasks have been automated, replacing workers. By contrast, new technologies complement non-routine, cognitive, and social tasks, making work in such tasks more productive. These effects have polarized labor markets: While low-skill jobs have stagnated, there are fewer and lower paid jobs for middle-skill workers, and higher pay for high-skill workers, increasing wage inequality. Advances in artificial intelligence may be accelerating computers' ability to perform cognitive tasks, heightening concerns about automation of even high-skill jobs.