Neuroscience Meets AI: Enhancing Machine Learning Through Brain Insights

This chapter examines the interplay between neuroscience and artificial intelligence, emphasizing how insights from brain function can inform deep learning technologies. It discusses the modeling of the brain to improve AI systems, highlighting the limitations of current models and the need for enhanced generalization capabilities. Additionally, it explores approaches like data augmentation and the significance of inductive biases in developing more robust AI that can better adapt to real-world challenges.