Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

The IT team at North-Eastern Hill University has launched an innovative AI-driven landslide mapping tool specifically for Meghalaya. Utilizing an impressive combination of ten machine learning ...

Study uses artificial intelligence to analyze sleep-promoting effects of nearly 1,000 aromatic plants and recognize the ...

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 ...

Few fandoms are more passionate-or devoted-than romance enthusiasts. Whether it's through devouring romance novels, Wattpad ...

Young musicians make their public debut Feb. 12 as the Maryland Symphony Youth Orchestra performs its first concert at ...

When Arnetta Johnson started playing the trumpet at 12, she never imagined she would become a professional musician playing ...

Hypermobile Ehlers–Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...

Teradata’s 2026 predictions paint a picture of an AI landscape moving beyond hype toward real, measurable impact. Across data ...