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We are living in the age of AI. This has been possible due to the convergence of large-scale data and computes infrastructure with deep learning algorithms. Yet, we are far from achieving human-level performance in terms of generalizability across domains.

In this session, Prof. Anima Anandkumar identifies key ingredients needed to close this gap and draw inspiration from biological mechanisms in our brains to design such generalizable AI.

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