IIIT-B researchers develop algorithms to optimize India's renewable energy transition, balancing cost, reliability, and grid stability.

Johns earned his medical degree from the University at Buffalo Jacobs School of Medicine and Biomedical Sciences in Buffalo, New York, and completed both his residency in internal medicine and his ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Abstract: Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring ...

In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...

MathGPT is one of those tools every student (who studies any math course) should try at least once. It offers one of ...

Rather than study how to use AI, students in this machine learning class work with the math that makes the AI work.

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Abstract: According to the World Health Organization (WHO), some chronic diseases such as diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are essential for early ...

In Huntington’s small community, tucked in a corner classroom of Smith Hall sits a unique piece of math history. Marshall ...

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.