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Kanaka Rajan
Assistant professor at the Icahn School of Medicine at Mt. Sinai. Her research bridges biology and artificial intelligence, focusing on building models of human cognition.
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Oct 4, 2021
• 47min
Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524
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Kanaka Rajan, an assistant professor at the Icahn School of Medicine, specializes in merging biology with AI. She discusses her innovative 'lego models' of the brain designed to emulate cognitive functions and memory processes. The conversation dives into the potential of recurrent neural networks (RNNs) in simulating complex learning. Rajan also explains curriculum learning, where tasks gradually increase in complexity, and reflects on the relationship between biological cognition and AI, touching on the challenges of understanding memory and its implications for mental health.
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