Dynamical systems see widespread use in natural sciences like physics, biology, and
chemistry, as well as engineering disciplines such as circuit analysis, computational fluid …

Abstract ROLLS, ET Two What, Two Where, Visual Cortical Streams in Humans. NEUROSCI
BIOBEHAV REV 2024 Recent cortical connectivity investigations lead to new concepts …

Automating the task of fault detection and diagnosis is crucial in the effort to reduce the
operation and maintenance cost in the nuclear industry. This paper describes a physics …

The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

In recent years, the family of algorithms collected under the term “deep learning” has
revolutionized artificial intelligence, enabling machines to reach human-like performances in …

One of the most terrifying phenomenon nowadays is the Deepfake: the possibility to
automatically replace a person's face in images and videos by exploiting algorithms based …

Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …

First, neurophysiological evidence for the learning of invariant representations in the inferior
temporal visual cortex is described. This includes object and face representations with …

Abstract Generative Artificial Intelligence foundation models (for example Generative Pre-
trained Transformer–GPT–models) can generate the next token given a sequence of tokens …

Investigar sobre lo que ocurre en Internet frecuentemente nos aproxima a estudios que se
sitúan en la frontera del conocimiento. Este artículo se enmarca en el espacio …