EEG or electro encephalography is so far one of the most reliable means used to detect the onset of drowsiness and sleep ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...

AI models use deep learning techniques to analyze patterns in data and generate human-like text based on a user prompt or a ...

Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex ...

Quantum Machine Learning (QML) is pushing the boundaries of artificial intelligence, merging quantum mechanics with advanced ...

Study indicates that a fitness tracker can detect mood episodes in bipolar disorder to help drive treatment. Investigators ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional ...

In business, training AI models and targeting their applications in the marketplace is a double-edged sword; one edge doesn't ...

AI can rapidly analyze data—like economic indicators, demographics and development plans—helping investors spot opportunities ...

The integration of machine learning into the GEOS-Chem model enhances aerosol simulations, providing critical insights for ...