To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

While generative artificial intelligence (genAI) promises to transform classrooms through personalized learning, automated feedback, and real-time content generation, new evidence suggests that ...

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

Researchers at Bangladesh Agricultural University (BAU) have developed an advanced Artificial Intelligence (AI)-based model capable of providing early and accurate flood forecasts, offering a major ...

In recent decades, climate change has modified the growth of forests, mainly due to increasing temperature and altered ...

A study published in Engineering has demonstrated that the N-glycome of serum-derived extracellular vesicles (EVs) can serve ...

AI meets isotope science: Machine learning is enhancing isotope analysis techniques, improving efficiency, accuracy, and insights into geochemical processes. Key hurdles remain: Data scarcity, limited ...