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The universality of the energetic equivalence rule has long been debated. Here, the authors show that across 183 soil invertebrate food webs, size–density and energy use varied with trophic level, ...
Recent advances in AI have transformed RNA research by enabling powerful sequence-based predictions. Here, the authors benchmark eleven genomic language models across four RNA-related tasks, showing ...
Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Abstract: Innovations in computer technology have made possible continuous on-line monitoring of partial discharge (PD) activities. The power industry aims to assess the condition of power system ...
These are the tools used by the European Space Agency's TASTE toolchain to automate handling of the Data Modelling. They include more than two dozen codegenerators that automatically create the 'glue' ...
Abstract: Artificial Intelligence-based applications have been increasingly deployed in every field of life including smart homes, smart cities, healthcare services, and autonomous systems where ...
This Jupyter notebook demonstrates how modal decomposition methods can be used for flow feature extraction in fluid mechanics datasets. Modal decomposition techniques, such as Proper Orthogonal ...
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