Karthik Meduri

University of the Cumberlands · Department of Information Technology

Using quantum algorithms to improve deep learning models' capabilities is becoming increasingly popular as quantum computing develops. In this work, we investigate how quantum algorithms using quantum neural networks (QNNs) might enhance the effectiveness and performance of deep learning models. We examine the effects of quantum-inspired methods on...

Given the current environment of constant cyber threats, it is crucial to emphasize the advancement of technologies such as Explainable AI and deep learning on risk assessment. Explainable AI helps explain the AI system's reasoning, the logic behind its predictions, insights, suggestions or decisions. This explanation allows an investigator to unde...

This research paper explores the nuances of optimizing large models of languages (LLMs) for the effective creation and retrieval of information. The current research investigation focuses on two main approaches: Knowledge Distillation (KD) and Retrieval-Augmented Generation (RAG), in addition to quantization and pruning strategies. KD reduces the s...

Customers all over the world now enjoy remarkable levels of accessibility and convenience thanks to the digital transformation of the banking industry. However, technology has also brought up new difficulties, including cybersecurity. The incapacity of conventional rule-based fraud detection strategies to keep up with the rapid evolution of cyber t...

Edge computation (EC) represents a transformative architecture in which cloud computing services are decentralized to the locations where data originates. This shift has been facilitated by the integration of deep learning (DL) technologies, notably in eliminating latency issues commonly referred to as the "echo effect" across various platforms. In...

As the Internet of Things expands, the surge in connected devices presents significant cybersecurity challenges. The rapid digitization of governments, corporations, and personal life has escalated cyberattacks into a menace for individuals, organizations, and even entire nations. Predictive techniques are becoming increasingly necessary to counter...

With the escalating use of technology and major computer systems, cyberattack threats loom larger than ever. These attacks, categorized as any malicious attempt to gain unauthorized access to a computer system or network that intends to cause damage, necessitate the development of new security approaches. AI has emerged as a practical solution, ena...

The advent of machine learning in personalized medicine has revolutionized the healthcare industry by providing an enhanced diagnosis and treatment regimen to patients based on their unique characteristics such as genetic predispositions, lifestyle variables, and medical history. Machine learning algorithms can analyze vast amounts of patient data...

As organizations increasingly rely on cloud computing for storing and processing data, the security of cloud environments becomes a critical concern. This research paper explores the application of Artificial Intelligence (AI) technology in detecting and preventing cloud computing attacks. The paper introduces the significance of cloud security, a...

Blockchain technology and artificial intelligence (AI) have been gaining much interest in the finance industry due to their potential to democratize access to financial services, especially in impoverished areas lacking traditional banking infrastructure. The current study adopts a research strategy that thoroughly examines and integrates existing...

This research explores the integration of GPT-based language models in the healthcare sector, focusing on Adaptive Intelligence. It delves into the transformative possibilities and profound implications of incorporating these models into critical healthcare domains, such as clinical decision-making, medical imaging, and personalized medicine. Demon...