In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...

Traditional object detection algorithms, including both two-stage models like Faster R-CNN and one-stage variants such as ...

Konstantin Vodopyanov, a professor at the College of Sciences and CREOL, the College of Optics and Photonics, recently ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the ...

CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a ...

Investigators evaluated a deep learning model’s ability to identify ocular surface squamous neoplasia using optical coherence ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a ...

It covers all the common probability sampling techniques, both the design- and model-based estimation methods, and the linearisation and bootstrap methods for variance estimation. The students will be ...

May 1, 2025 — A new study has investigated the use of a new monitoring technique for early warning of a volcanic eruption. The research team compared the earthquake signals during two eruptions ...

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