[Lind5]

AI already has led to a rethinking of computer architectures, in which the conventional von Neumann structure is replaced by near-compute and at-memory floorplans. But novel layouts aren’t enough to achieve the power reductions and speed increases required for deep learning networks. The industry also is updating the standards for floating-point (FP) arithmetic. https://semiengineering.com/will-floating-point-8-solve-ai-m...