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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 …
Executive Summary: This report provides a comprehensive analysis of Fully Homomorphic Encryption (FHE) as a transformative technology for privacy-preserving machine learning (PPML). It begins by establishing the cryptographic principles of Read More …
Executive Summary The proliferation of decentralized applications has exposed a fundamental limitation in foundational blockchain protocols like Ethereum and Bitcoin: the inability to scale transaction throughput without compromising decentralization or Read More …
Executive Summary Federated Learning (FL) has emerged as a paradigm-shifting approach to distributed machine learning, promising to harness the power of decentralized data while preserving user privacy. By training models Read More …
Executive Summary The enterprise technology landscape is increasingly defined by a complex and distributed cloud continuum. The strategic decision is no longer whether to adopt the cloud, but how to Read More …