Oxygen is essential for living organisms, particularly multicellular life, to metabolize organic matter and energize all life ...

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more ...

Some patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device ...

A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a ...

Machine learning can enhance our ability to identify communities of microorganisms and how they change in response to climate change over time.

A deep learning model can predict the risk for obesity for young children using only routinely collected electronic health ...

But when researchers used a machine learning algorithm to predict the density of microbes ... Complete information on funding for this work can be found in the manuscript. Cell, Nishijima et al.

A NEW study has developed a machine learning (ML) model capable of predicting lung perfusion in pulmonary embolism (PE) ...

Two of the trickiest qualities to balance in the world of machine learning are fairness and accuracy. Algorithms optimized for accuracy may unintentionally perpetuate bias against specific groups, ...

At the heart of an InGaN LED are InGaN quantum wells, buried within a GaN p-n junction. These devices often feature an AlGaN barrier, used to prevent the overflow of electrons from the quantum well.

Researchers found predictive models for brain function can perform well on diverse datasets, including different age, sex and ...