Book of Donmon Teith

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate

Machine learning (ML) training will continue to grow to consume more cycles, their inference will proliferate on more kinds of devices, and their capabilities w

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First

This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Speci