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Section 1: The Landscape of Concurrent Computation The proliferation of multi-core processors and the rise of distributed, network-intensive applications have elevated concurrent programming from a niche specialty to a foundational Read More …
Section 1: The Architectural Imperative for Brain-Inspired Computing The relentless advancement of artificial intelligence (AI) has exposed a fundamental schism between the demands of modern algorithms and the capabilities of Read More …
Executive Summary The advent of fault-tolerant quantum computing represents the most significant disruptive event in the history of digital cryptography. Once realized, a cryptographically relevant quantum computer (CRQC) will render Read More …
Executive Summary: The New Equation of Trust In the contemporary corporate landscape, trust is the ultimate currency. Yet, the mechanisms designed to build and sustain it—namely, traditional audit and assurance Read More …
Part I: The Imperative for a New Light Section 1: The End of an Era and the Dawn of EUV 1.1 Revisiting Moore’s Law: More Than an Observation, A Self-Fulfilling Read More …
Executive Summary The relentless advance of artificial intelligence has ignited a new and fiercely contested arms race, not for munitions, but for computational power. For years, this landscape has been Read More …
Executive Summary This report provides a comprehensive architectural and economic analysis of the two dominant high-performance memory technologies, High Bandwidth Memory (HBM) and Graphics Double Data Rate (GDDR). It frames Read More …
Executive Summary Decentralized Physical Infrastructure Networks (DePIN) represent a fundamental paradigm shift in how physical infrastructure is financed, deployed, and operated. This model transitions from a capital-intensive, centralized approach to Read More …
Executive Summary The proliferation of artificial intelligence has catalyzed a fundamental architectural shift in consumer electronics, moving beyond the traditional paradigms of Central Processing Units (CPUs) and Graphics Processing Units Read More …
The Anatomy of LLM Inference and Its Intrinsic Bottlenecks The deployment of Large Language Models (LLMs) in production environments has shifted the focus of the machine learning community from training-centric Read More …