Spiking Neural Networks, Spiking Neural P Systems, and their applications in AI
Pendiente de confirmar espacio
Ciclo de seminarios "La informática en la encrucijada"
Ponente: Claudio Zandrón, Associate professor de la Università degli Studi di Milano-Bicocca.
Título: Spiking Neural Networks, Spiking Neural P Systems, and their applications in AI.
Resumen: Spiking Neural Networks (SNNs) and Spiking Neural P Systems (SNPSs) are computational frameworks based on the biological mechanisms of the human brain. They are based on the employment of discrete impulses (the spikes) to communicate data among neurons, providing a more power-efficient and biologically realistic method than conventional neural networks. These architectures are especially suitable for resource-limited settings, handling temporal data with diminished power usage. Both frameworks are equipped to model biological neural mechanisms and provide benefits in functions such as image identification, categorization, or medical diagnosis. Despite certain obstacles, particularly concerning their training, these frameworks offer promising possibilities for more effective use in AI. We will present basic notions concerning SNNs and SNPSs, and some applications appeared in the literature.
Fuente: Gabinete de Comunicación de la ETSII