https://www.fanaticalfuturist.com/2025/03/low-energy-analogue-ai-chips-gets-a-100-million-boost-from-darpa/ Traditional digital chips shuttle data between separate memory and processing units — the so-called “von Neumann bottleneck.” Analog in-memory computing (IMC) stores AI model weights directly inside the processor and uses physical phenomena (current flow, charge accumulation) to perform the multiply-accumulate operations that dominate neural network inference. This eliminates the costly data movement between memory and logic, promising dramatic efficiency gains. What do you guys think? submitted by /u/Primary_Emphasis_215
Originally posted by u/Primary_Emphasis_215 on r/ArtificialInteligence
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