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

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 ...

Abstract: To meet the energy efficiency demands of future applications, system-on-chip (SoC) designs continue to march towards ultra-low-voltage operation. This tutorial will address the fundamental ...

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The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...