Abstract
The multilayer nonlinear lensless opto-electrical neural network with quantum dot activation can complete effective multilayer optical computing, improving the classification accuracy by an average of 13% and reducing the system size weight and energy consumption.
| Original language | English |
|---|---|
| Title of host publication | 16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350372076 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024 - Incheon, Korea, Republic of Duration: 4 Aug 2024 → 9 Aug 2024 |
Publication series
| Name | 16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024 |
|---|
Conference
| Conference | 16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Incheon |
| Period | 4/08/24 → 9/08/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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