South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

IIT Guwahati researchers, with UK collaborators, have used Machine Learning to design advanced, high-performance metal alloys without relying on Critical Raw Materials (CRMs), creating a sustainable ...

Captivate: A Proven Method to Win the Hearts & Minds of Consumers While Growing Sales and Profits by Tampa-based ...

Researchers developed criteria for triaging suspected UTIs, focusing on antibiotic use and urine testing to improve outpatient care and telehealth efficiency.

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Iranian President Masoud Pezeshkian has ordered the start of nuclear talks with the United States, local media said Monday, after U.S. leader Donald Trump said he was hopeful of a deal to avert ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Two research teams from the Universitat Jaume I of Castelló and the Universitat de València have developed a material and its synthesis method based on multivariate-modulated metal–organic frameworks ...

The new series of Consumer Price Index (CPI), used for measuring retail inflation, is going live from February 2026. The Ministry of Statistics and Programme Im ...

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...

Trend Score is a discipline-first, AI-driven framework designed to help traders maintain directional focus and reduce ...

A new computational framework maps 3D atomic positions in amorphous materials, achieving full accuracy for silica using ...