MIT CSAIL, TU Wien, and IST Researchers Introduce Deep Learning Models That Require Fewer Neurons

Today's artificial intelligence technology is intended to mimic nature and replicate the same decision-making abilities that people develop naturally in a computer. Artificial neural networks, like living brains, are made up of many individual cells. When a cell becomes active, it transmits a signal to all other cells in the vicinity. The following cell's signals are added together to determine if it will become active as well. The system's behavior is determined by the way one cell influences the activity of the next.