Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...