When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: ...

Computational models of molecular and gene networks are now commonplace. They are becoming larger and more complex, and are based on various approaches. Standard formats permit the sharing and reuse ...

Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for ...

Objectives: To develop a logic model for pharmaceutical care that can be used by stakeholders as a tool to support innovation and to monitor the performance of the pharmaceutical care system in the ...

Researchers from the Zhengzhou University in China have created a new electrical fault detection system for PV systems by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) methodology, which is ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

The Journal of Philosophical Logic provides a forum for work at the crossroads of philosophy and logic, old and new, with contributions ranging from conceptual to technical. Accordingly, the Journal ...

A logic model helps us think through plans for a project. This often-overlooked step in the planning process should actually drive and focus proposal development. Sometimes called a Theory of Change, ...