Abstract: In modern software development, Python third-party libraries play a critical role, especially in fields like deep learning and scientific computing. However, API parameters in these ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

In LS-Dyna Encryption is most often used to encrypt material cards and the associated know-how. Since it is quite expensive to create material cards, a common way is to exchange material cards only in ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Several welding processes, or their variations, are used for the deposition of material on a surface, aiming at the recovery of worn parts or for the formation of a coating with special ...

HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...