Knowledge distillation and gradient pruning-based compression of artificial intelligence-based base caller
US12354008B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Feb 15, 2021 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jan 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The technology disclosed compresses a larger, teacher base caller into a smaller, student base caller. The student base caller has fewer processing modules and parameters than the teacher base caller. The teacher base caller is trained using hard labels (e.g., one-hot encodings). The trained teacher base caller is used to generate soft labels as output probabilities during the inference phase. The soft labels are used to train the student base caller.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.