SOURCE-LINKED INTELLIGENCE
Neuromorphic-Native Ultra-Efficient Event-Driven Radio
t 50% reduction in energy use, at least 15% reduction in latency, and at least 10% improvement in task accuracy compared to state-of-the-art systems. This will be accomplished by integrating advanced deep learning models that work synergistically within the neuromorphic framework, pushing the boundaries of what is possible in energy-efficient AI-driven communication. NEUER is not just a step forward in wireless communication; it represents a leap toward more sustainable and intelligent technologies. By bringing brain-inspired efficiency to the field, the project is set to have a broad impact on both academic research and industrial applications, paving the way for the next generation of energy-efficient communication systems. Neuromorphic computing
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 247553.28
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.