Simbian’s new Cyber Defense Benchmark found that no leading large language model (LLM) could pass realistic enterprise cyber defense tests, despite their offensive capabilities. The study highlights a ...
NASA’s TESS uncovers 11,554 exoplanet candidates in the T16 planet hunt, including more than 10,000 new ones around faint ...
Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
Artificial intelligence (AI) is transforming game development with smarter NPCs, dynamic worlds, and personalized ...
Seagrass meadows stabilize sediments, improve water clarity and provide critical habitat and forage for species ranging from ...
The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...
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