1. Introduction The rapid advancement and pervasive potential of Artificial Intelligence have propelled it to the forefront of national strategic agendas worldwide. In response to the dominance of a few global technology giants and the profound implications of AI for security, economy, and society, a distinct trend has emerged: Sovereign AI . This article defines Sovereign AI as a nation's strategic endeavor to develop, deploy, manage, and control AI capabilities—encompassing

1. Introduction: The Landscape of Reasoning Reasoning , the capacity to draw inferences, make predictions, and generate explanations, stands as a cornerstone of intelligence , both human and artificial. It is the process that allows agents to move beyond immediate perception and stored memory, enabling them to navigate complexity, solve problems, and understand the world. This article looks into the multifaceted nature of reasoning, exploring its definition, forms, and mecha

I. Introduction: AI's Expanding Role in Understanding and Interacting with Our Planet The Earth's biosphere faces unprecedented challenges, driven by anthropogenic climate change, accelerating biodiversity loss, widespread pollution, and unsustainable resource depletion. The urgency to find innovative and effective solutions for environmental monitoring, conservation, and sustainable management has never been greater. In this context, Artificial Intelligence (AI), particularl

Artificial intelligence systems increasingly operate in complex, real-world environments where information is often incomplete, ambiguous, conflicting, or scarce. Traditional probability theory, which assigns a single, precise numerical value to the likelihood of an event (e.g., P(Rain) = 0.7), often struggles to faithfully represent these deeper forms of uncertainty . It can force an AI agent to express a level of confidence that isn't justified by the available evidence,

In Artificial Intelligence, particularly in Machine Learning (ML) and Optimization, there's a constant search for the "best" algorithm –...

1. Introduction: Redefining Computation in Robotics The history of robotics and artificial intelligence has largely been dominated by a paradigm centered on sophisticated computation performed by centralized control units. In this traditional view, robots are typically constructed from rigid components, driven by precise actuators like high-torque servo motors, and governed by complex algorithms executed within a distinct 'brain'. The primary goal of the controller is often

Embodied Intelligence (EI) represents a paradigm shift in Artificial Intelligence , focusing on systems integrated into physical or simulated bodies capable of sensing, acting, and learning through direct interaction with their environment. This approach contrasts sharply with traditional disembodied AI, such as Large Language Models (LLMs) , which operate primarily on abstract data without direct physical grounding . EI emphasizes the critical role of the physical body ,

Hugo Mercier and Dan Sperber's 2017 book, " The Enigma of Reason, " presents a provocative and influential challenge to traditional views...