Replicating the Brain in Machines
While artificial intelligence beckons us with all its possibilities, the current state of computation is fundamentally limited in its ability to learn and adapt. What if they could be as dynamic and efficient as human brains are? This brings in the idea of human-like intelligence which is now a possibility with the advent of neuromorphic or ‘brain-like’ computer chips. My research focuses on a very important aspect of this possibility – vision. I am working on replicating the brain’s visual system into Intel’s latest neuromorphic chip, Loihi. This replica will help us understand how information is processed in the brain, and will present us with all the advantages of an actual animal visual system. For example, complex vision tasks such as simulating a 3D image of the environment, tracking multiple objects simultaneously, responding to sudden movements should come easy with the use of this replica. It could potentially enable huge strides in the fields of autonomous driving, robotics and health care.
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Mathematics
Srijanie Dey is a doctoral student in the Department of Mathematics, WSU Vancouver. She is originally from India where she completed her bachelor’s in Mathematics. Srijanie got interested in artificial intelligence while doing her masters in Applied Mathematics from Technical University, Berlin and ended up writing her master thesis on data science and deep learning. For her Ph.D, she is pursuing the quest for human-like intelligence through neuromorphic computing. The goal of her research is to create a functional replica of the mouse visual cortex using Intel’s latest neuromorphic chip, Loihi.