By Morning Picker
It is believed to outperform the learning rate of the current known learning algorithms. The researchers aim to bridge the gap between neurobiology and machine learning through the use of new learning algorithms. Currently, most people believe that neurobiology and machine learning are two completely different and independent d
isciplines. The current artificial intelligence algorithms can predict an output only for a well-synchronized input, whereas the human brain does not require a well-synchronized input. The findings of Kanter and his team clearly reflects that a future with zero difference between neurobiology and machine learning is not too far.