Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions that allow machines to learn data patterns with which to make predictions or ...

Enterprise AI performance increasingly reflects the maturity of underlying data science and machine learning capabilities as organizations scale beyond early experimentation. Info-Tech Research ...

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in which we can improve their training to avoid having them develop these ...

Do you prefer hype or rationality? Artificial general intelligence offers only a hazy, overzealous goal. Enter SAI, a ...

The moment a system stops explaining and starts commanding, it becomes a bureaucrat. Corporate history is littered with bureaucrats no one invited, but no one can remove them.

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

For a decade and a half now, my work has fallen into two categories: collecting evidence on the threat posed by fossil fuels, and deploying written and spoken words to urge action against it. Recently ...

AI is everywhere at ISC West, but the conversation has finally matured from what it could do to what it can do reliably, ...

In this Q&A, you will learn about some of the technologies and techniques that are making it possible to address advanced packaging challenges.

In 2026, the “one-size-fits-all” approach to digital gambling is obsolete. AI algorithms now analyze vast datasets in ...

Tolomatic’s John Fenske and Mason Cousins weigh in on how the industry is repositioning as electrification, systems ...