BENGALURU: Researchers at the Indian Institute of Science (IISc) have developed a new graphic processing unit-based machine learning algorithm that may hold the potential to help better understand and predict connectivity between different regions of the brain.
The algorithm — Regularised, Accelerated, Linear Fascicle Evaluation, or ReAl-LiFE — can rapidly analyse enormous amounts of data generated from diffusion Magnetic Resonance Imaging (dMRI) scans of the brain, IISc said, adding that using this, the team evaluated dMRI data over 150 times faster than existing state-of-the-art algorithms can.
