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Ternary Computing: A Systematic Review of Optimal Logic, Balanced Architectures, and Emerging Frontiers in AI Networks and Qutrit Technology
Abstract: Ternary Computing: Structured Literature Review This structured literature review provides a comprehensive analysis of Ternary Computing, spanning its foundational theory, architectural implementations, and emerging applications. Originating from the theoretical advantages of optimal radix economy and early prototypes like the Setun computer (1958), the field offers substantial benefits in information density and interconnect reduction over…
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Accelerating Research Gap Discovery with AI: A Systematic Review of Methods, Tools, and Trends
Researchers have increasingly adopted Artificial Intelligence, using powerful techniques like topic modeling, citation network analysis, and advanced transformer models to automate the laborious process of reviewing scientific literature and discovering research trends. Summary Researchers today are confronted with an unprecedented explosion of scientific literature. This deluge of information makes traditional manual literature reviews incredibly time-consuming…
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Breaking the Memory Wall: A Structured Literature Review of Analog In-Memory Computing (AIMC) for Next-Generation AI and Deep Learning
Executive Summary: Analog In-Memory Computing (AIMC) This structured literature review establishes the crucial role of Analog In-Memory Computing (AIMC) as the leading architectural solution to overcome the fundamental von Neumann bottleneck that limits the performance and energy efficiency of modern Artificial Intelligence (AI) hardware. AIMC integrates computation directly within non-volatile memory (NVM) arrays, leveraging the…
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Circular Astronomy 