Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

A method comprising: receiving, by one or more processors, a request for a risk score associated with a patient of one or more medical providers; applying, by the one or more processors, scoring data ...

Clinical research has always been the backbone of medical progress, providing the data and insights needed to develop new treatments, improve patient outcomes, and advance public health. Yet, the ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...