Abstract:
Wearable AI workloads such as sensor fusion, physiological inference and uncertainty quantification are probabilistic, yet the neural processing units that serve them are deterministic matrix-multiply engines that discard distributional information at every layer. We describe QEPC, a deferred-evaluation execution model in which probability mass functions are maintained in non-volatile state …