While the applications of just-in-time training are more and more spread, the ubiquitous mobile technology has not found practical uses of this training strategy. As an original example of services for healthcare, we ...

Traditionally focused on good old-fashioned AI and robotics, the Spanish AI community holds a vigorous computational intelligence substrate. Neuromorphic, evolutionary, or fuzzylike systems have been developed by ...

While the applications of just-in-time training are more and more spread, the ubiquitous mobile technology has not found practical uses of this training strategy. As an original example of services for healthcare, we ...

PURPOSE: Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting ...

Video streams from panoramic cameras represent a powerful tool for automated surveillance systems, but naïve implementations typically require very intensive computational loads for applying deep learning models for automated ...

Deploying 5G networks in urban areas is crucial for meeting the increasing demand for high-speed, low-latency wireless communications. However, the complex topography and diverse building structures in urban environments ...

Typically, deep learning models for image segmentation tasks are trained using large datasets of images annotated at the pixel level, which can be expensive and highly time-consuming. A way to reduce the amount of annotated ...

Life on Earth has been shaped by evolutionary processes into a marvelous diversity of form and function, at all levels from melecules to ecosystems. It can be expected that no single conceptual framework ca encompass all ...

En las últimas décadas, la línea divisoria entre la Biología y las Ciencias de la Computación se ha ido difuminando paulatinamente. Por un lado, una gran cantidad de métodos computacionales (colectivamente conocidos como ...