Growing demand for AI infrastructure is putting pressure on the PC industry, with higher memory costs threatening to reduce ...

Abstract: Artificial intelligence (AI) edge devices increasingly require the enhanced accuracy of floating-point (FP) multiply-and-accumulate (MAC) operations as well as nonvolatile on-chip memory to ...

Abstract: We propose an embedded Neural Processing Unit (NPU) architecture for deep learning inference to address the stringent energy, area, and cost requirements of edge AI. This heterogeneous ...