A machine can now reject a loan, flag a patient as high-risk, rank a job applicant, identify a military target, recommend a ...

Artificial Intelligence is quickly becoming ubiquitous in personal and professional lives in ways we both observe and others we don’t see as readily. Artificial Intelligence is used to influence ...

Six key dimensions for AI-ready data, I did some straightforward math to show, based on estimates for the current level of ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes ...

CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University. Automation: A word that simultaneously evokes technological and ...

Why transparency and explainability are now the currencies of AI success ...

The so-called "black-box" aspect of AI, usually referred to as the explainability problem, or X(AI) for short, arose slowly over the past few years. Still, with the rapid development in AI, it is now ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...