Category: Research Paper

Recent advancements in robotics have significantly transformed both industrial and everyday life, driven by breakthroughs in artificial intelligence, machine learning, sensor technology, and automation.

As data lakehouse technologies gain traction, tools like Delta Lake, Apache Iceberg, and Apache Hudi have emerged as leading solutions for enabling transactional data operations over data lakes.

The automotive industry is undergoing rapid digital transformation, generating vast amounts of data from sensors, manufacturing systems, connected vehicles, and customer interactions.

Explainable Artificial Intelligence (XAI) has emerged as a critical component in the development and adoption of AI-driven products, particularly in enhancing user trust and acceptance.

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 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.

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.

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.

The advanced capabilities of 5G—such as ultra-low latency, massive device connectivity, and network slicing—introduce new vulnerabilities and broaden the attack surface.

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.