This framework was applied to a range of solar datasets: combining 24 years of space-based observations, enhancing the resolution of full-disk solar imagery, reducing atmospheric noise in ground-based ...

Sasidhar Reddy Somula highlights the transformative impact of machine learning in fraud detection, demonstrating how AI-driven systems have outperformed traditional methods.

In diabetes care, AI has propelled the field forward through predictive modeling, decision support, and real-time glycemic ...

Breast cancer subtyping is essential for determining appropriate treatment strategies, as each molecular category, luminal A, ...

In this modern era, by integrating machine learning into mobile education, technology is reshaping how people learn languages ...

Psychology has been instrumental in the evolution of artificial intelligence, offering foundational insights into learning, ...

By harnessing the power of data analytics, educational institutions are undergoing a remarkable transformation. Pruthvi Tatikonda explores how data-driven strat ...

Intelligent nanophotonics, combining nanophotonics and machine learning, is transforming optical information processing. This ...

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies.

Regulation in the utilities sector and improved grid infrastructure are needed to address data center energy-related pricing ...

AI is revolutionizing corporate decision-making by enhancing predictive analytics, automating processes and fostering a ...

The old way of learning isn’t coming back. Schools that accept this and evolve will thrive. The ones that don’t will fall ...