Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

However, the benefits of such a 3D stacking model could be negated to a certain extent by thermal limits. The GPU’s temperature rose as the top-die power dissipation increased, the GPU began limiting ...

Stacking algorithms can learn how to best combine the predictions from two or more base machine learning algorithms. ... with the four-class stacking ensemble model consisting of the SVM, kNN, ...

In an effort to create a standard set of tools that would help data science teams collaborate on AI development, an infrastructure initiative launched this week will promote a unified stack for ...

Consider a machine learning model that classifies images. If your dataset is composed of 100×100-pixel images, then your problem space has 10,000 features, one per pixel.