Vol. 2 No. 2 (2024): Volume-II, Number II, 2024
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Post-Quantum Cryptography: Securing AI Systems against Quantum Threats
Abstract 182
As artificial intelligence (AI) systems increasingly underpin critical applications in healthcare, finance, defense, and infrastructure, ensuring their security has become paramount. However, the rapid advancement of quantum computing poses a significant threat to classical cryptographic schemes that currently safeguard these systems. Quantum algorithms such as Shor’s and Grover’s threaten ... read more
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AI-Driven Autonomous Vehicles: Safety, Ethics, and Regulatory Challenges
Abstract 184
Artificial Intelligence (AI) is revolutionizing the automotive industry by enabling autonomous vehicles (AVs) that have the potential to dramatically improve road safety, reduce traffic congestion, and increase mobility access. Despite these promising benefits, the deployment of AI-driven AVs raises complex challenges that span technical safety concerns, ethical dilemmas, and regulatory uncerta ... read more
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The Role of AI in Climate Change Mitigation: Predictive Models for Sustainability
Abstract 88
Climate change represents one of the most pressing global challenges of the 21st century, demanding innovative and scalable solutions to mitigate its adverse impacts. Artificial Intelligence (AI) has emerged as a transformative tool in environmental science, offering advanced predictive capabilities that can enhance climate change mitigation efforts. This paper explores the pivotal role of AI-d ... read more
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TinyML: Deploying Machine Learning on Microcontrollers for IoT Applications
Abstract 119
The rapid proliferation of Internet of Things (IoT) devices has created an urgent need for intelligent data processing directly on resource-constrained hardware. Tiny Machine Learning (TinyML) addresses this challenge by enabling the deployment of machine learning models on microcontrollers and other low-power embedded systems with limited memory, processing power, and energy resources. This pa ... read more
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Brain-Computer Interfaces (BCIs) and AI: The Future of Human-Machine Symbiosis
Abstract 104
Brain-Computer Interfaces (BCIs) represent a transformative technology that enables direct communication between the human brain and external devices, offering unprecedented opportunities for enhancing human-machine interaction. The integration of Artificial Intelligence (AI) with BCIs has the potential to significantly improve the accuracy, adaptability, and usability of these systems, fosteri ... read more
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AI-Powered Decision Support Systems in Traditional Medicine
Abstract 36
Ayurveda is part of the traditional system of medicine, along with Traditional Chinese Medicine and Unani among others that continues to exist in the major part of the world today and serve many billions of people. Nevertheless, its application in contemporary clinical practice is a problem because of such issues as the absence of standardized approaches to diagnosis, the inability to determine ... read more
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AI in the Shadows Detecting Insider Threats in Financial Institutions
Abstract 30
Insider threats are one of the longstanding and most challenging issues in securing financial institutions, with employees, contractors, and trusted partners turning legitimate access into a liability for sensitive systems and data. Traditional security methods are usually unable to identify subtle malicious activities or negligent behaviors until after much damage has been done. Artificial int ... read more