Vol. 1 No. 1 (2024): Volume-I, Number-I, 2024
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Emerging Trends in Artificial Intelligence: Ethical Implications and Future Prospects in Automation
Abstract 11
Artificial Intelligence (AI) is rapidly transforming the landscape of automation across industries, from manufacturing and logistics to healthcare and finance. This paper explores the most significant emerging trends in AI, including advancements in machine learning, natural language processing, and autonomous systems, and how these innovations are redefining human–machine interactions. Along ... read more
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Nanotechnology in Modern Medicine: A Revolutionary Approach to Targeted Drug Delivery
Abstract 7
Nanotechnology has revolutionized modern medicine by enabling highly precise and efficient targeted drug delivery systems. This paper explores the recent advancements in Nano carrier design, including liposomes, dendrimers, polymeric nanoparticles, and metallic nanostructures, which facilitate controlled release and improved bioavailability of therapeutic agents. By focusing on targeted deliver ... read more
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Explainable AI (XAI) in Healthcare: Bridging the Gap between Accuracy and Interpretability
Abstract 10
Artificial Intelligence (AI) has demonstrated significant potential in revolutionizing healthcare by enhancing diagnostic accuracy, predicting patient outcomes, and optimizing treatment plans. However, the increasing reliance on complex, black-box models has raised critical concerns around transparency, trust, and accountability—particularly in high-stakes medical settings where interpretabil ... read more
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Generative AI and Deep fake s: Ethical Implications and Detection Techniques
Abstract 13
Generative Artificial Intelligence (AI) has revolutionized content creation, enabling the synthesis of highly realistic images, videos, audio, and text. However, this advancement has also given rise to deep fake s—synthetic media that can convincingly mimic real individuals and events—posing significant ethical and societal challenges. This paper explores the dual-edged nature of generative ... read more
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Quantum Machine Learning: Algorithms, Applications, and Limitations
Abstract 3
As the limits of classical machine learning (ML) become increasingly evident—especially in terms of computational scalability and data processing—quantum computing emerges as a promising frontier capable of addressing these challenges. Quantum Machine Learning (QML) represents the intersection of quantum computing and traditional ML, aiming to leverage quantum phenomena suc ... read more