A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...

That's the case that more intentional artists — such as the composer Holly Herndon, who branched out into new vocal techniques via a machine learning model she trained on her own voice — have made for ...

TaTa is a living, learning, autonomous music artist built with AI. … She's the first artist of a new generation. A-Pop is the next cultural evolution, and TaTa is its first icon." The music for TaTa ...

TaTa is a living, learning, autonomous music artist built with AI. … She’s the first artist of a new generation. A-Pop is the next cultural evolution, and TaTa is its first icon.” The music for TaTa ...

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

The application of machine learning and statistical predictive models to business problems has found success in recent years due to an exponential increase in consumer data and readily available ...

Prospective, observational study in eight level-1 trauma centers. Upon receiving a prealert call, trauma clinicians in the resuscitation room entered nine predictor variables into a dedicated ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

The classification of tree species through remote sensing data is of great significance to monitoring forest disturbances, biodiversity assessment, and carbon estimation. The dense time series and a ...