SCMC
Project: CMOS+MRAM Hardware for Energy-EfficienT AI (CHEETA). Tech: AI/Hardware. Year 1 Background: The current landscape of edge AI HW is dominated by mobile SoCs, GPUs and digital accelerators. These platforms achieve processing efficiencies in the range of 1-10 TOPS/W. However, they are all limited by the time and energy required to move data between processing units and memo