Scientists decode human brain using AI

Mumbai: In a newly-published research paper that sharpens focus on the intersection of machine intelligence and neuroscience, Purdue University researchers have demonstrated how to decode what the human brain is seeing by using artificial intelligence (AI) to interpret Functional magnetic resonance imaging (fMRI) scans from people watching videos, representing a sort of mind-reading technology. The advancement, according to the researchers, could aid efforts to improve AI and lead to new insights into brain function. Critical to the research, which appeared online on 20 October in the journal Cerebral Cortex, is a type of algorithm called a convolutional neural network. Convolutional neural networks, a form of deep learning algorithm, have been used to study how the brain processes static images and other visual stimuli. Deep learning itself is an advanced machine learning technique that uses layered (hence "deep") neural networks (neural nets) that are loosely modelled on the human brain.