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3min chapter
Engineering a Less Artificial Intelligence with Andreas Tolias - #379
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Exploring Data Augmentation, Bias, and Brain-inspired Learning in AI
This chapter delves into concepts like data augmentation, domain adaptation, inductive bias, and model bias in artificial intelligence. It discusses the balance between relying on massive data versus understanding true intelligence with fewer examples, drawing parallels to how the brain learns.
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