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Neuromorphic Computing with Spiking Neural Networks for Energy-Efficiency

Bio-Inspired. Event-Driven. Energy-Efficient.

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[Presentation on the 14th January 2026, A.5.1]

This presentation addresses the unsustainable energy demands of modern AI by introducing Spiking Neural Networks (SNNs), the third generation of artificial neural networks, which employ a bio-inspired architecture that replaces continuous processing with sparse, event-driven spikes, mimicking the brain’s temporal coding and learning dynamics. Neuromorphic computing offers a revolutionary path towards a greener artificial intelligence while preserving the performance of traditional neural networks.