← All parts of this equation

Equation 5 · Part 3 · How Edge AI Electronics and Sensor Systems Actually Work

Symbol t_active

Einference=Pactive⋅tactiveE_{\text{inference}} = P_{\text{active}} \cdot t_{\text{active}}
tactivet_{\text{active}}

What this part means

fixed by the model architecture alone.

Its job in the formula

tat_active is one factor in the product that computes the quantity on the left.

Where the article explains it

” Neither PactiveP_{\text{active}} nor tactivet_{\text{active}} is fixed by the model architecture alone; both depend on the accelerator the model runs on.

The passage around this formula

Once a signal has been conditioned, digitized and gated by an appropriate wake mechanism, the question becomes what a microcontroller-class processor can actually afford to compute with the power that remains. A useful way to make this concrete rather than hand-wavy is a simple energy identity: the energy an inference actually costs is Einference=Pactive⋅tactiveE_{\text{inference}} = P_{\text{active}} \cdot t_{\text{active}}. and the sustainable average power of an always-on system operating at duty cycle d (the fraction of time spent active rather than in a low-power sleep state) is

Read this part in the article →

Learn the underlying idea

A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.

Open the illustrated subscripts: which member of a family? guide →

See this notation across published equations →

Sources cited in the article section

These citations provide research context; check each source for the exact claim it supports.