From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with predictive analytics.

Pragmatic Clinical Trial Assessing Response to Neoadjuvant Docetaxel and Trastuzumab in Nigerian Women With Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer (ARETTA) We retrospectively ...