Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...
IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
Hypermobile Ehlers-Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...
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