Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather predictions. For example, seven-day forecasts are approaching the level of accuracy ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

Explore how traders use ChatGPT to forecast Bitcoin trends by analyzing sentiment, on-chain metrics and technical signals.

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.