Training Computer Vision to Think Like the Brain Enhances Performance and Robustness
Researchers from MIT and IBM have discovered that training artificial neural networks to mimic the processing patterns of the brain’s visual cortex can significantly enhance computer vision systems. By incorporating neural activity patterns from the brain’s inferior temporal (IT) cortex, the team observed improved object recognition capabilities and increased resilience to adversarial attacks. This breakthrough ... Read more
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