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On neuromorphic computing - with Mihai Petrovici

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Gaute Einevoll and Mihai Petrovici discuss how neuromorphic hardware can support artificial intelligence and efficient brain simulation. They contrast high-frequency arithmetic on conventional silicon with the rich dynamics and millisecond spikes of biological neurons, and explore brain-inspired systems for emulating neural dynamics and studying computation in spiking networks. Petrovici is a senior researcher at the University of Bern. The conversation was recorded on 18 June 2026 and released on 23 September 2026; the publisher’s audio runs 1 hour, 41 minutes and 46 seconds.

Topics

neuromorphic hardwareArtificial Intelligencebrain simulationhigh-frequency arithmeticbiological neuronsmillisecond spikesbrain-inspired systemsneural dynamicsspiking networkscomputation

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