CMU team aims to unlock brain’s algorithms

As humans, we have invested in the development of computers to automate the world around us in order to increase efficiency and the reach of human understanding. While computers can seamlessly make a large number of computations very quickly, the machines are little competition for the the biological machines we find in nature, like the brain. A developing research area in computer science is focused on better understanding biology and using the insights for algorithm development. Following this path, Carnegie Mellon researcher Tai-Sing Lee, a professor in the Computer Science Department and the Center for the Neural Basis of Cognition (CNBC), will attempt to reverse-engineer the brain in order to try and reveal its learning methods and apply them to advancing machine learning algorithms. The project will span five years…


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