Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...

Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...

The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While ...

MGCP is a Python package implementing the Marker Guess & Checl Plus (MGC+) family of encoders and decoders for both binary and DNA sequences. It contains: ...

Abstract: The calibration of ultra-high voltage direct current (UHVDC) transmission systems, as an advanced electric power system that transmits electric energy with high efficiency and over long ...

Federated learning (FL) has the potential to boost deep learning in neuroimaging but is rarely deployed in real-world scenarios, where its true potential lies. We propose FLightcase, a new FL toolbox ...