Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

The threat situation in the software supply chain is intensifying. Securing it belongs at the top of the CISO’s agenda.

New research from the Oxford Internet Institute (OII) and the University of Kentucky reveals that global biases are ...

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

Epilepsy in women is influenced by sex hormones during puberty, pregnancy and menopause. Seizure patterns and drug response ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

Adaptation finance in the country is not merely about carbon markets and tech transfer. It’s about community level changes to make agriculture more resilient and institutional improvements to insulate ...