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Peter J. Denning, Editor in ChiefThe digitally connected world has become a large, swirling sea of information stripped of context.

We help our readers make sense of it, find meaning in it, learn what to trust, and prepare for the future that may show up. "Ubiquity and Your Future

Peter J. Denning,

Ubiquity Upgrades!



Exploiting the Digital Economy for Product Realization in Manufacturing

by Paul Witherell, Soundar Kumara

In this paper, we briefly discuss the evolving concepts of the digital economy, digital threads, and product realization (manufacturing) in the digital economy-enabled futuristic world. We posit that if we need to become self-sufficient, it is imperative that small and medium manufacturing enterprises need to be equitably integrated into the digital economy. We lead this discussion to the most important research questions related to representation, search, and composition to achieve such a realization.



Misused Words and Phrases

by Philip Yaffe

Using commonly recognized colorful words, phrases, and quotations can enhance the interest and impact of an expository (non-fiction) text. However, pay close attention when doing so, because those words, phrases, and quotations don't always mean what you might think they mean. ...


Enabling Intentional Human Engagement with AI

Interviewed by Bushra Anjum

In this interview, Ubiquity's senior editor, Dr. Bushra Anjum, chats with Ming Yin, an assistant professor at Purdue University, about how intentional human interactions can fully realize the potential of AI in augmenting human intelligence. We also discuss Dr. Yin's research to empirically understand how humans engage with AI, computationally model this engagement, and design interventions to improve humans' engagement with AI by both influencing human behavior and adjusting AI designs.



Quantum Algorithms

by Ted G. Lewis

This essay was written for computer scientists seeking to understand quantum computing from an algorithmic point of view. It sacrifices rigorous physics so anyone with a computer science background can understand it. Note that it is about algorithms, not machines. This is intentional.