In recent years, scientists strove to create devices that may ameliorate patients' lives who
suffer from a neuronal disease. These devices are mainly based on neuromorphic circuits …

Abstract Artificial Neural Networks (ANNs) appear increasingly and routinely to gain
popularity today, as they are being used in several diverse research fields and many …

To work with nonlinear systems, the soft computing techniques are interesting alternatives;
one advantage is their capability of learning using data in a similar way to adaptive systems …

As the nascent quantum computing paradigm matures and quantum devices become widely
available, discrete" eras" are emerging which characterize evolving quantum computing …

Embodiments of the invention relate to a multiplexed neural core circuit. One embodiment
comprises a core circuit including a memory device that maintains neuronal attri butes for …

Esta dissertação teve como objetivo trabalhar na melhoria e acessibilidade de uma
aplicação médica desenvolvida o ano passado, recorrendo ao uso de redes neuronais em …

Abstract Machine Learning (ML) applications in material science is an active area of
research due to its accurate predictive capabilities while also being generalizable …