Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...

Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...

According to a new study published in JAMA Network Open, exposure to fine particulate matter air pollution during the early ...

A new study published in the Journal of the American Medical Association found that exposure to fine particulate air ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...