For years, researchers have relied on traditional keyword-based search engines to access knowledge. With the advent of Large Language Models (LLMs), the method of information acquisition is rapidly shifting toward

What Is Algorithmic Bias in Academic Search Engines? Algorithmic Bias in Academic Search Engines: A Critical Review of Global Literature and Framework for Information JusticeEnvision a world where the very

You’ve spent hours, days, and even months on your research.You’ve analyzed the data, interpreted the results, and written a strong scientific paper. But there’s a hidden threat that can bring

The integration of artificial intelligence is swiftly establishing itself as a pivotal element in the forthcoming advancements of contemporary medicine. Envision an algorithm adept at scrutinizing tens of thousands of

Managers are under more and more pressure to use AI for crucial decision-making, risk management, and competitive advantage in the fast-paced business world of today. Widespread adoption of AI is

Local large language models are artificial intelligence systems that can work directly on devices with no direct internet access such as personal computers or local area networks, instead of those

Self-Improving AI Models effectively carry out many functions ranging from database building, data labeling, analysis, and code generation, to any text-based interaction. However, they mostly cannot validate the correctness of

Envision a scenario where libraries are no longer merely storage spaces for reference materials but active places for exploration. This paper discusses the revolutionization of the accessibility and usage of

For college students, it is important to have research articles, because research is considered the academic credit of students. As a student, you should know that using research tips for

Plagiarism is a subject that may seem scary, but understanding it is essential to avoid plagiarism in research when creating various articles. With the internet making it easier to access