In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.