IBM Takes Aim at Reduced Precision for New Generation of AI Chips
Dec. 5, 2018
IBM researchers claim they have come up with a much more efficient model for processing neural networks, using just 8 bits for training and only 4 bits for inferencing. The research is being presented this week at the International Electron Devices Meeting (IEDM) and the Conference on Neural Information Processing Systems (NeurIPS).