A study by Prof. Ido Kanter, of the Bar-Ilan Department of Physics and Gonda Multidisciplinary Brain Research Center, found that the human brain’s wide, shallow architecture can perform tasks as effectively as the deep learning architecture that AI is based.

Neural network learning techniques stem from the dynamics of the brain. However, brain learning and AI-based deep learning are intrinsically different. One of the most prominent differences is the number of layers each of them utilizes.

Researchers have unveiled the extraordinary behavior of weakly-bound three-atomic molecules, defying conventional understanding of quantum mechanics.