BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
Brain Inspired
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Prospective Learning in Machine Learning
The chapter explores the concept of prospective learning in contrast to retrospective learning within machine learning, addressing the challenges of catastrophic forgetting in AI algorithms. It talks about incorporating time dynamics into algorithms to predict task switches for improved learning outcomes, drawing inspiration from how both humans and animals anticipate events. The focus is on refining AI algorithms to understand organism behavior better and enhance performance in evolving environments.
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