Analog In-Memory Chips Promise Faster AI, but Noise Threatens Accuracy
Rising AI power consumption is reviving analog in-memory computing, where physics performs matrix multiplications in a single step and cuts energy use. The catch is that ADC/DAC conversion and intrinsic device noise still degrade results, and recent simulations show where the errors appear and how researchers are trying to patch them.