The black box model with free open-source software produced results with an average error rate below 5% over a range of ...

The core argument of the paper is that what counts as misinformation is not an objective fact but a relative judgment ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Machine learning identifies key biomarkers predicting hydroxyurea resistance in polycythemia vera, enhancing early treatment ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Machine learning has become an essential tool for many industries looking to harness the power of artificial intelligence. However, getting machine learning models from experimental phases to ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...