With the advent of large language models (LLMs) and deep learning, it has become possible to analyze and categorize code comments with greater accuracy and contextual awareness.
Strengthening Banking Recovery with AWS Cloud
Strengthening disaster recovery in the banking sector has become a critical priority as financial institutions face growing risks from cyber threats, system outages, and natural disasters.
Diagnostic Accuracy of AI in Retinopathy Screening
Early detection and timely intervention are critical to preventing irreversible visual impairment. In recent years, artificial intelligence (AI) has emerged as a promising tool for automating and enhancing the accuracy of DR screening.
AI in Diabetic Retinopathy: A Systematic Review
Artificial intelligence (AI) has emerged as a transformative tool in the early detection and management of diabetic retinopathy (DR), a leading cause of vision loss worldwide.
Threat Mitigation in 5G Network Architecture
The advanced capabilities of 5G—such as ultra-low latency, massive device connectivity, and network slicing—introduce new vulnerabilities and broaden the attack surface.
Innovation in Construction via Human-AI Integration
As projects grow more complex and demands for efficiency, safety, and innovation increase, human-AI collaboration is emerging as a powerful approach to meet these challenges.
Climate Change and Socioeconomic Inequality: Resilience
Climate change and socioeconomic inequality are deeply interconnected, with marginalized communities bearing the greatest burden of environmental disruptions.
Probiotics for Gut Health: Benefits and Mechanisms
Research suggests that this strain plays a crucial role in maintaining a balanced gut microbiome, enhancing digestive processes, and modulating immune responses. Further research is essential to fully understand its long-term efficacy and broader clinical applications.
AI-Driven Risk Management in Finance
AI-driven risk management is transforming the financial industry by enhancing predictive analytics and improving decision-making. By leveraging machine learning and big data, financial institutions can
Machine Learning for Insurance Post-Pandemic
Machine learning offers powerful solutions by analyzing vast datasets to detect fraud, optimize pricing, and enhance decision-making. Predictive models can improve underwriting accuracy, while automation streamlines claims management, reducing costs and improving efficiency.