Modeling Uncertainty with a Form of Machine Learning: Bayesian Networks

Premise. Hype about artificial intelligence (AI) and machine learning (MI) for data-related activities obscures reasonable, obtainable and useful top-down methods to model and understand uncertainty and to deal with probable outcomes and even causation. Top-down techniques, like Bayesian models, address key issues of uncertainty and causation. The term Machine Learning (ML) has become ubiquitous and […]

Industry Initiatives Pushing AI-Infused Software to the Federated Edge

Premise Deploying AI-infused smarts to the Internet of Things (IoT) will require federating deep learning algorithms, training data, and other key assets all the way to resource-constrained edge devices and applications. Edge-oriented artificial intelligence (AI) is central to the development of the Internet of Things (IoT). Why? Because the type of capabilities being deployed – and […]

AI-Infused Software Is Eating the IoT Edge

Premise. The Internet of Things (IoT) is becoming intelligent all the way to the edge through the power of artificial intelligence (AI). As AI software takes residence on more “things,” it will transform the IoT into a pervasively intelligent system that permeates everyone’s lives. At the same time, the AI-driven IoT is evolving into a single […]