The Promise of Analog AI

Conductance can vary based on everything from the manufacturing of the chip to environmental factors. The variation can add up and throw neural networks off. Early approaches used analog and digital together, with digital-to-analog and analog-to-digital convertors between layers. However, this needs to be limited, as conversion is slower and more energy-intensive than staying analog. It can create its own bottleneck.