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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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Artificial Intelligence in Fluid Dynamics: A Literature Review of Applications, Challenges, and Future Directions
Summary Decoding Fluid Dynamics: How AI is Redefining Computational Science The study of fluid dynamics (FD) is undergoing a profound transformation, moving from traditional Computational Fluid Dynamics (CFD) to a new paradigm powered by Artificial Intelligence (AI) and Machine Learning (ML). This shift is not merely an optimization of existing methods but a fundamental change…
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Plasma Jets in Vacuum – Literature Review
Executive Summary: A New Frontier in Engineering and Physics Plasma, the “fourth state of matter,” has emerged from the confines of astrophysics and fusion research to become a transformative technology at the heart of modern industry and advanced science. When harnessed in a vacuum or low-pressure environment, its unique properties offer an unparalleled degree of…