Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

LifeTracer, a computational framework, was developed to analyze mass spectrometry data, identifying molecular features that distinguish abiotic from biotic origins. Georgia Tech and NASA used advanced ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

A new study reveals African lions produce two types of roars, overturning long-held assumptions and opening the door to more precise wildlife monitoring.

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

DM: It depends on your vision. For us, having a smart ball in every game isn’t just about making players better. Once the ...

Future Market Insights, Inc. (FMI) is an ESOMAR-certified, ISO 9001:2015 market research and consulting organization, trusted ...

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

Obesity is a well-established risk factor for a broad spectrum of chronic diseases, including cardiovascular disease, diabetes, cancer, and liver disease.

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...