The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands.Network pruning has demonstrated success in maintaining original network accuracy while shedding significant portions of the original weights.However, leveraging Refrigera
Combining both spectral and spatial information with enhanced resolution provides not only elaborated qualitative information on surfacing mineralogy but also mineral interactions of abundance, mixture, and structure.This enhancement in the resolutions helps geomineralogic features such as small intrusions and mineralization become detectable.In th
Gravitational waves Petite Cup from binary neutron star (BNS) mergers can constrain nuclear models, predicting their equation of state (EOS).Matter effects on the inspiral-merger signal are encoded in the multipolar tidal polarizability parameters, whose leading order combination is sufficient to capture, with high accuracy, the key features of the
Abstract The necessity for explainability of artificial intelligence technologies in medical applications has been widely discussed and heavily debated within the literature.This paper comprises a systematized review of the arguments supporting and opposing this purported necessity.Both sides of the debate within the literature are quoted to synthe