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

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 ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

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

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

GEMS School of Research and Innovation (SRI) today welcomed world-renowned musician, producer, composer and its Special ...

The School of Information Science and Technology of St Aloysius (Deemed to be University), successfully hosted the national-level hackathon — Code Sprint 2026, a 32-hour marathon of innovation and ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

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