Episode 09: Drew Linsley, Brown, on inductive biases for vision and generalization

Drew Linsley is a Paul J. Salem senior research associate at Brown, specializing in computational models of the visual system. He discusses how neuroscience can enhance AI, particularly in machine vision, by integrating neural-inspired inductive biases. The conversation delves into challenges in panoptic segmentation and the limitations of current models like feedforward networks. Linsley also highlights the importance of theoretical innovation coupled with empirical validation, alongside the evolving role of motion recognition in neural networks.