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 ...
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 ...
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 ...
GEMS School of Research and Innovation (SRI) today welcomed world-renowned musician, producer, composer and its Special ...
Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to silicon.
Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...
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Teradata’s 2026 predictions paint a picture of an AI landscape moving beyond hype toward real, measurable impact. Across data ...
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AI mapping flags landslide hotspots across Meghalaya
The Department of Information Technology at North-Eastern Hill University has developed a Landslide Susceptibility Map using ...
LinkedIn’s head of engineering for talent solutions explains how fine-tuned LLMs and agentic AI architectures are replacing traditional search methods to save recruiters four hours per role ...
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 ...
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