Energy and Latency
Cross-source consensus on Energy and Latency from 1 sources and 5 claims.
1 sources · 5 claims
Benefits
Risks & contraindications
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Evidence quality
Highlighted claims
- Total system energy is not zero because sources, photodetectors, and control electronics add overhead. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- The paper distinguishes computational energy during passive propagation from total end-to-end system power. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- End-to-end latency and energy are not fully measured because optical propagation time excludes source, detection, I/O, and electronic processing overhead. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- Passive propagation through fabricated optical elements is described as requiring no electronic computational energy in the optical path. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- The comparison with electronic systems is architectural rather than task-normalized. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification