Recycled materials promise a cleaner future, but recycled content alone does not necessarily make a product sustainable. At ...
Researchers at the University of Würzburg have succeeded in detecting exceptionally robust electrical transport in a topological insulator. This could lead to new metrological applications. The work ...
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UK power grid has no instruments to track the currents that can destroy transformers
UK space weather preparedness: England and Wales have no instruments measuring geomagnetically induced currents in the power ...
This paper proposes a method for determining the short-circuit impedance of a transformer based on data fitting techniques, which is further used to derive the transformer’s rated capacity. By ...
Abstract: In the case of the modern inductive current transformers the most important factor that have influence on their wideband accuracy is the self-distortion of the secondary current caused by ...
Remote visible-shortwave infrared (VSWIR) imaging spectrometers such as Earth surface Mineral dust source InvesTigation (EMIT) are enabling a new area of quantitative Earth Science by collecting ...
State Key Laboratory of Cellular Stress Biology, Institute of Artificial Intelligence, School of Life Sciences, Faculty of Medicine and Life Sciences, National Institute for Data Science in Health and ...
Transformers have been the backbone of power grids for over a century, but today’s demands for renewable energy, electric vehicles, and smarter grids are exposing their limits. Enter solid-state ...
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. Meta’s artificial intelligence chief said the large language models that power generative AI products such as ...
The transformer, today's dominant AI architecture, has interesting parallels to the alien language in the 2016 science fiction film "Arrival." If modern artificial intelligence has a founding document ...
Transformer neural networks have revolutionized structural biology with the ability to predict protein structures at unprecedented high accuracy. Here, we report the predictive modeling performance of ...
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