In this article, we demonstrate how to do this by creating a verifiable and replicable method of prompt science that aids in ...

Despite the evident success stories, the adoption of AI/ML in chemical engineering faces unique challenges. Unlike consumer applications where vast data sets are readily available, chemical processes ...

Securing AI also presents risk, and not just from AI-enabled attacks, such as more sophisticated social engineering ... Then AI comes along and maps a numerical representation into its workflow ...

The unprecedented evolution of artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL), has catalysed transformative ...

In addition, the subject also includes verification and software testing for these numerical methods. you´ll know some of the most ... Each student must pass both major projects, plus at least 3 of ...

A new prompt engineering technique called chain-of-draft is an improvement over classic chain-of-thought approach. Here's the ...

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...

A trio of Chinese scientists have proven that dimension 126 does host strangely twisted shapes, putting an end to six-decade-old mystery.

The course will give a solid fundament for participating in and manage the software projects of an organization and for improving the way such projects are conducted. Students who are admitted to ...

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is ...