4 publications
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Published Subscription Review Article
Leveraging Full Stack Data Science for Healthcare Transformation: An Exploration of the Microsoft Intelligent Data PlatformBy Prashant D. Sawant
Abstract: The rapid progress of the Fourth Industrial Revolution has been largely driven by the evolution of artificial intelligence (AI), with notable contributions from technologies such as Generative Pre-trained Transformers (GPT). This revolution has seen the convergence of physical, digital, and biological technologies, leading to transformative impacts across various sectors. Data science, serving as a crucial enabler, has enabled the development of intelligent value chains. However, the application of data science …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article →
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Published Subscription Review Article
NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for ThermotherapyBy Prashant D. Sawant
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article →
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Published Subscription Original Research
GPT in Code Conversion: Achieving Agile, Accurate, and Effective Translations Across Programming LanguagesBy Prashant D. Sawant
Abstract: This comprehensive study meticulously investigates the intricacies and challenges inherent in the process of code conversion across a diverse range of programming languages. It provides an in-depth examination of select instances where code conversion poses significant challenges, and thoughtfully proposes innovative solutions to these complex problems. A key highlight of this research is the use of Generative Pre-trained Transformers (GPTs) like Copilot, which have proven to be instrumental in achieving …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 11–20 Read article →
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Published Subscription Review Article
A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of TokensBy Prashant D. Sawant
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article →