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.

Possibly a new breakthrough has been achieved in the domain of artificial intelligence. According to a new study, by a team of researchers from The Neuro (Montreal Neurological Institute-Hospital) and the Quebec Artificial Intelligence Institute, the artificial intelligence networks modelled on human brain connectivity are equipped to perform cognitive tasks efficiently and effectively. The study has been done via a sizable Open Science Repository by which the researchers tried to replicate and reconstruct the brain's connectivity pattern. This was then applied to an artificial neural network (ANN) to achieve cognitive abilities like the human brain. The Artificial Neural Network (ANN) is a system that has both input and output units in abundance in similarity to the human brain.

Summary: Artificial neural networks modeled on human brain connectivity can effectively perform complex 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.