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Executive Summary The advent of cryptographically relevant quantum computers (CRQCs) marks a fundamental inflection point in the history of information security. While the primary focus of strategic planning has been Read More …
Introduction: The Quest for Understanding in an Age of Opaque Intelligence The rapid ascent of artificial intelligence (AI) presents a central paradox of the 21st century: as our computational creations Read More …
Introduction: The Opaque Mind of the Machine: From Black Boxes to Mechanistic Understanding The advent of large language models (LLMs) built upon the transformer architecture represents a watershed moment in Read More …
The Imperative for Provable Guarantees in Safety-Critical AI The rapid integration of Artificial Intelligence (AI), particularly machine learning (ML) models, into the core operational fabric of society marks a paradigm Read More …
Executive Summary Artificial Intelligence (AI) has historically been defined by a fundamental schism between two competing paradigms: the formal, logic-based reasoning of symbolic AI and the intuitive, data-driven pattern recognition Read More …
The Causal Imperative: From Statistical Association to Mechanistic Understanding The modern data landscape, characterized by its unprecedented volume and complexity, has amplified the need for analytical methods that transcend simple Read More …
Introduction: Charting the Complexity Landscape Within P For decades, the central organizing principle of computational complexity theory has been the dichotomy between “tractable” and “intractable” problems, formalized by the complexity Read More …
Part I: Foundations of Byzantine Fault Tolerance The quest for creating resilient distributed systems that can maintain a consistent state despite component failures is one of the foundational challenges in Read More …
Section 1: The Monolithic Ceiling: Analyzing the Limits of Traditional Server Architectures For decades, the monolithic server has been the fundamental building block of the data center. This “converged” model, Read More …
Executive Summary Modern computing is defined by a fundamental paradox: while processing units have achieved unprecedented speeds, their performance is increasingly constrained by the time and energy required to access Read More …