Fabrication
Cross-source consensus on Fabrication from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Risks & contraindications
Comparisons
Evidence quality
Highlighted claims
- The study does not experimentally fabricate holographic or diffractive elements. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- The reported 91.2% accuracy is an upper bound because it uses ideal learned phase masks rather than fabricated elements. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- Deployment of a passive diffractive optical model occurs through fabrication rather than loading weights onto a processor. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- The fabrication operator maps recorded interference patterns into physical transmittance or phase responses. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
- Fabrication deviations can introduce phase errors at each pixel. — Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification