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Explore neuromorphic computing's potential for reducing energy consumption while advancing artificial intelligence in this 31-minute conference talk from DSC EUROPE 24. Susanna Gordleeva discusses the evolution from silicon circuits that replicate biological neural processes to hardware utilizing spike-based encoding. Learn about the brain's remarkable energy efficiency and the significant role of recently discovered astrocytes as signaling cells that influence signal transmission and information processing. Discover how these biological insights are driving the development of more plausible computational models and memristive neuroelectronics, establishing the foundation for future AI systems that could mimic the brain's efficiency. This presentation was delivered on November 20th at the Data Science Conference in Belgrade.
