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

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 ...

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 ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Approximately 7% of the state falls under the “very high-risk” category, while 6% is classified as “high risk.” East Khasi Hills emerged as the most vulnerable district, with nearly 730 square ...

The Department of Information Technology at North-Eastern Hill University has developed a Landslide Susceptibility Map using ...

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

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

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

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

But what has a jar in a desert cave to do with machine learning? A Bedouin shepherd who sought one of the limestone hills ...