Researchers from the University of Cambridge and GlitterinTech, a startup founded by the same research group, have unveiled a fundamentally new type of optical spectrometer that delivers ...

Abstract: Convolutional layers (CLs) are ubiquitous in contemporary deep neural network (DNN) models, commonly used for automatic feature extraction. A CL performs cross-correlation between the input ...

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...

Brain tumors originate from intracranial tissue tumors and brain metastases, often manifested as increased intracranial pressure and various neurological symptoms, and malignant tumors account for ...

Opinion formation within society follows complex dynamics. Towards its understanding, axiomatic theory can complement data analysis. To this end, we propose an axiomatic model of opinion formation ...

Institute of Chemical Technology, Haute École d’Ingénierie et d’Architecture Fribourg, HES-SO University of Applied Sciences and Arts Western Switzerland, 1700 Fribourg, Switzerland ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

Abstract: Electromagnetic time reversal (EMTR) is drawing increasing interest in short-circuit fault location. In this article, we investigate the classic EMTR fault location methods and find that it ...

Hyperspectral images are a valuable tool for remotely sensing important characteristics of a variety of landscapes, including water quality and the status of marine disasters. However, hyperspectral ...

Currently, only 4-D input tensors (batched image-like tensors) are supported. unfoldNd implements the operation for 3d and 5d inputs and shows good performance. Like torch.nn.Fold, but supports 3d, 4d ...