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Equation 4 · Part 6 · Comparing the Main Approaches to Post-CMOS, Neuromorphic, Photonic, and Quantum AI Compute

addition

Eop=Ecore+Eperiphery+EI/O,E_{\text{op}} = E_{\text{core}} + E_{\text{periphery}} + E_{\text{I/O}},
addition

What this part means

Add the term after the plus sign to the term or group before it.

Its job in the formula

Add the term after the plus sign to the term or group before it.

The passage around this formula

The physical limitation keeping analog in-memory compute confined to inference on weights that rarely change is the flip side of its core trick: a conductance that can be read out to represent a weight can also drift over time, and writing a new one wears the device in a way reading does not, so retraining costs more, in time and device lifetime, than in a design where weights sit in ordinary digital memory. A simple accounting for why raw operations-per-watt numbers are not directly comparable across any of the four approaches in this piece is worth writing out once: Eop=Ecore+Eperiphery+EI/OE_{\text{op}} = E_{\text{core}} + E_{\text{periphery}} + E_{\text{I/O}}. where EcoreE_{\text{core}} is the energy of the operation itself — the multiply-accumulate, the interference…

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Learn the underlying idea

Addition combines quantities; subtraction measures the signed difference between them. Parentheses show what is combined before the rest of the expression is evaluated.

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Sources cited in the article section

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