Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Hundekari, Sheela; Onumajuru, Onyekachi Kelvin; Multani, Danish; Oluwakemi, Olutoye Timothy; Upreti, Kamal Title A name given to the resource Enhancing Low-Power VLSI Design through AI-Based Simulation and Optimization Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings - 4th International Conference on Smart Technologies, Communication and Robotics 2025, STCR 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/STCR62650.2025.11018967" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/STCR62650.2025.11018967</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105008422182?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008422182?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Hundekari S., Pimpri Chinchwad University, Dept. of Computer Science, Pune, India; Onumajuru O.K., University of Hertfordshire, Dept. of Computer Science, United Kingdom; Multani D., Ust Global Solutions, Haryana, Gurgaon, India; Oluwakemi O.T., Olabisi Onabanjo University, Electrical and Electronics Engineering, Ago-Iwoye, Nigeria; Upreti K., Christ University, Dept. of Computer Science, Delhi NCR, India Description An account of the resource AI and ML techniques have dramatically influenced rapid developments in low-power VLSI design with fast advancements in device simulations and power optimization strategies. AI-based simulation tools are now used for accurate modeling of power consumption, improving thermal analysis, and quickening design iterations through the detection of inefficiencies and optimization of energy consumption. In fact, this work focuses on some AI-enabled methods of power reduction techniques such as voltage scaling, clock gating, and leakage current minimization with respect to a sustainable VLSI design. Moreover, a synthetic dataset is created to mimic the actual power consumption trend in VLSI circuits so that predictive modeling and regression techniques can be used for power estimation. Different regression models are used to check the predictive accuracy, and it was found that the highest R2 score was 0.85 by Linear Regression, while the worst was achieved by Decision Tree Regression at 0.50. Results of the correlation analysis and models by machine learning clearly indicate that the frequency and operating voltage are the major contributors to consumption power, while gate counts have a relatively insignificant contribution. Introduction of AI in VLSI simulation enables the enhancement of power efficiency while maintaining sustainability outcomes by optimizing energy usage and cost reduction in terms of computation. 2025 IEEE. Subject The topic of the resource Design-optimization; Low-Powered VLSI; Machine Learning Models; Power Consumption; Sustainability; Synthetic Data Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-835035753-0; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online