An international research team has used, for the first time, a powerful metaheuristic and a nature-inspired algorithm to improve the estimation of the parameters of PV cells and modules. The algorithm ...

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...

Multivariate binary data arise in a variety of settings. In this article we propose a practical and efficient computational framework for maximum likelihood estimation of multivariate probit ...

Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series ...

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is used for advanced Parkinson’s disease treatment to improve the quality of life of patients by alleviating motor symptoms, as well as ...

For much of the past decade, progress in artificial intelligence has been driven by scale. Bigger datasets, more parameters, ...

“Is omitting race and ethnicity as a predictor in colorectal cancer recurrence risk prediction models associated with racial and ethnic bias?” is the main question Dr. Aasthaa Bansal, an associate ...

The Pentagon is increasingly focused on the notion that the might of U.S. forces will be measured as much by the advancement of their algorithms as by the ammunition in their arsenals. And so as it ...