A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...
I’ve been following your AI Lab newsletter and really appreciate your insights on open-source AI and agent-based ...
Using pathology slides, Path-IO looks for these niches and other complex patterns that may be challenging for humans to ...
An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
Two-dimensional Group-III nitrides (h-BN, h-AlN, h-GaN, and h-InN) exhibit great promise for electronic and optoelectronic applications due to their hexagonal structures, thermal stability, and wide ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
A comprehensive web-based platform for dengue fever surveillance, prediction, and monitoring using advanced machine learning algorithms and real-time data visualization. DEN-Smart is an intelligent ...
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Self-learning AI generates NFL picks, score predictions for every 2026 Wild Card Weekend game
The 2026 NFL Wild Card Weekend schedule featured two games on Saturday, has three more on Sunday and one 'Monday Night Football' matchup between the Houston Texans and Pittsburgh Steelers. Monday's ...
This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...
Abstract: Dengue remains a major public health challenge in tropical regions such as Sri Lanka, where early identification of severe dengue is critical to reducing mortality and optimizing resource ...
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