In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

With AI advancements being made faster and faster, it's time to rethink AI governance to safeguard your AI initiatives ...

Thank you, John, and thank you to The Heritage Foundation for inviting me to give the fourth annual Edwin Meese Originalism Lecture. It is a great honor to give a lecture named after Edwin Meese, ...

A 35-item questionnaire based upon the Theoretical Domains Framework (TDF) was used to identify barriers/enablers with responses categorized according to mean scores as major barriers, moderate ...

Experiments show that lightweight RARE-trained models outperform larger models like GPT-4 on benchmarks, offering a scalable and efficient approach to domain-specific intelligence. A proposed ...

To address this problem, this paper proposes a novel gradient alignment federated domain generalization (GAFedDG) framework for rotating machinery fault diagnosis. In the proposed GAFedDG, an ...

Department of Chemistry, Key Laboratory of Environmentally Friendly Chemistry and Applications of Ministry of Education, Xiangtan University, Xiangtan, Hunan 411105, China ...

To address this challenge, we propose a contrastive learning-based secure unsupervised domain adaptation framework, which does not require source domain data and can achieve high-precision domain ...

Within COM-B’s components that generate behavior, it is possible to further distinguish capability, opportunity, and motivation using the Theoretical Domains Framework (TDF); the next layer of the BCW ...

Parliament’s finance committees late on Tuesday approved the fiscal framework tabled by Finance Minister Enoch Godongwana in his contentious 2025 budget, paving the way for it to be adopted by ...