Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

Artificial intelligence (AI) is a powerful accelerator that many industries recognize for its ability to predict, analyze, and detect anomalies.

Enterprise architecture works best today when it borrows start-up habits — testing fast, learning quickly and scaling what actually delivers value.

Physicists have assembled one of the largest and most intricate time crystals yet, using IBM’s latest quantum hardware to ...

As automation deepens, production lines rely more than ever on stable network connectivity. This article outlines how industrial 5G and cloud-based management enable reliable device networking, remote ...

As automation deepens, production lines rely more than ever on stable network connectivity. This article outlines how industrial 5G and cloud-based management enable reliable device networking, remote ...

Abstract: This paper explores weighted estimation strategies for nonlinear errors-in-variables (EIV) regression, with applications in metrology where accurate uncertainty propagation is critical. The ...

Thanks for checking out muPropagate! From information section on the website: muPropagate is a tool to speed up determination of final uncertainties. Instead of typing out long lines of operations and ...

DARPA’s FROSTY program aims to turn Arctic radio noise into radar, boosting U.S. awareness as the High North grows contested.

Prime Minister John Briceño made a rare appearance today at Tower Hill in the Orange Walk District for the official opening ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.