Machine learning at the extreme edge has enabled a plethora of intelligent, time-critical, and
remote applications. However, deploying interpretable artificial intelligence systems that can …

Abstract Machine learning and logical reasoning have been the two foundational pillars of
Artificial Intelligence (AI) since its inception, and yet, until recently the interactions between …

Modern businesses are client-centered, adaptable, and change-responsive systems. As
such, they require information systems able to perceive, reason and act in accordance with a …

This study conducts a comprehensive analysis of artificial intelligence models' capabilities in
solving advanced mathematical problems beyond Calculus II. Notably, the research focuses …

In this paper, we analyze the role of Neuro-Symbolic (NS) methods within the standard
Observe, Orient, Decide and Act (OODA) framework and discuss their associated …

We humans learn language and how to interact with the world through our different senses,
grounding our language in what we can see, touch, hear, and smell. We call these streams …

In a world of uncertainty and incompleteness, one must “make sense” of found observations.
Cyber-physical systems output large quantities of data, opening massive opportunities and …

The evolution of internet describes the usage of Social Media (SM) which expands
drastically. This involvement continues to increase in context with the current global …

Modern businesses are client-centered, adaptable, and changeresponsive systems. As
such, they require information systems able to perceive, reason and act in accordance with a …

In the field of Artificial Intelligence (AI), Machine Learning (ML) with neural networks (Deep
Learning) is currently attracting a great deal of attention. The reason for this are the …