Neural networks used in AI mimic certain aspects of human cognition and process information in ways that resemble the neural pathways of the human brain.
Researchers are exploring approaches to reduce AI's reliance on large datasets and enable one-shot learning, where AI learns from just one example.
Reducing data dependency in AI can lead to more efficient and adaptable systems, closer to human cognitive flexibility.
One-shot learning is a potential game changer as it addresses the need for massive datasets in AI functioning.