Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...

A deep learning model may be able to outperform ophthalmologists in predicting neovascular age-related macular degeneration (nAMD) recurrence. Recurrence of neovascular age-related macular ...

Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study. Researchers have developed a new, ...

Scientists have developed a deep learning–based approach that boosts plasma prediction on nuclear fusion by 1,000 times. The approach accelerates the computation of a nonlinear Fokker–Planck–Landau ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Please provide your email address to receive an email when new articles are posted on . During two prospective evaluations, forecasts had a mean absolute error of 3.1 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...