Equation 11 · Edge AI Electronics and Sensor Systems in 2035: Scenarios, Signals, and Falsifiable Predictions
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The compute-per-watt equation above has an implicit assumption baked into it: that 's growth comes from refining one underlying switching technology, conventional digital CMOS. The clearest documented case for how that assumption could break is analog, compute-in-memory silicon, which does not perform a multiply-accumulate as a sequence of digital switching events at all, but as a physical operation — current summation on a resistive or phase-change element — colocated with storage.
Sources cited in the article section
- [4] A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference ↗
- [11] Scaling, Power, and the Future of CMOS ↗
- [5] Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook ↗
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