Abstract: This paper proposes a data-driven algorithm for model order reduction (MOR) of large-scale wind farms and studies the effects that the obtained reduced-order model (ROM) has when this is ...
DESPITE initial delays in the development of artificial intelligence large models, experts say China ... “Building a domestically produced large-scale system with GPUs, TPUs, and other ...
This is the promise of large language models. Businesses are increasingly using enterprise-grade LLMs to handle a wide array of business tasks, from copywriting to coding to customer care. These ...
Existing methods often adapt image-based approaches directly or rely on uniform frame sampling, which poorly captures motion and temporal patterns. Moreover, training large-scale video models is ...