An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the framework offers a ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration (ICCV 2025) - javrtg/AnyCalib ...

Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to ...

West Nile virus (WNV) has been the dominant cause of mosquito-borne illness in the United States since its introduction into North America in 1999. There are no vaccines nor medications to prevent ...

Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models ...

Their proposed model, outlined in a paper published in Nature Human Behavior, combines advanced machine learning algorithms with behavioral science theory. "Human-decision research is rich in ...

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition ...

This study used machine learning (ML) to predict Max. Hg 0 removal efficiency based on the experimental data including adsorbent parameters and removal conditions published over the past 25 years. It ...