Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

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 ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

A historic winter storm is tearing across the United States, burying cities in snow and glazing highways in ice just as ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

A new study suggests that, with low to moderate levels of global greenhouse emissions in coming decades, more of India could become suitable for growing avocados. However, with high enough emissions, ...

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...