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Neuromorphic computing and signal processing training network

CORDIS · observation · Publication date unknown

Neuromorphic computing and signal processing training network The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and integration technologies. Current digital computing platforms, driving societal progress, are hitting fundamental limits such as quantum tunneling and facing technical challenges like energy efficiency and heat dissipation. As a result, the progress in AI is slowed down by speed bottlenecks, massive energy consumption, and limited access to AI technologies as only selected large industrial players can afford to commit the required resources. Inspired by the brain’s powerful and energy-efficient processing capabilities, neuromorphic computing presents a promising solution to these critical issues. However, to fully harness neuromorphic computing’s potential, a holistic optimization - from individual computing devices to the overall architecture, includin

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recordType

award

status

SIGNED

region

EU

value

4664170.08

unit

EUR