Tomo Lazovich
18Patents
4h-index
16Co-inventors
49Inventor score
Filing activity: Nov 13, 2018 → Feb 14, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11398871B2 | Systems and methods for analog computing using a linear photonic processor | Electricity | 15 | Active |
| US11475367B2 | Systems and methods for training matrix-based differentiable programs | Physics | 11 | Active |
| US10803259B2 | Hybrid analog-digital matrix processors | Physics | 7 | Active |
| US10803258B2 | Hybrid analog-digital matrix processors | Physics | 6 | Active |
| US10740693B2 | Systems and methods for training matrix-based differentiable programs | Physics | 4 | Active |
| US11023691B2 | Hybrid analog-digital matrix processors | Physics | 4 | Active |
| US11886942B2 | Hybrid analog-digital matrix processors | Physics | 2 | Active |
| US11775779B2 | Hybrid analog-digital matrix processors | Physics | 2 | Active |
| US11209856B2 | Path-number-balanced universal photonic network | Physics | 1 | Active |
| US10866877B2 | Automated repair of bugs and security vulnerabilities in software | Physics | 1 | Active |
| US11936434B2 | Systems and methods for analog computing using a linear photonic processor | Electricity | 1 | Active |
| US12169774B2 | Quantized inputs for machine learning models | Physics | 1 | Active |
| US11671182B2 | Systems and methods for analog computing using a linear photonic processor | Electricity | 0 | Active |
| US12373687B2 | Machine learning model training using an analog processor | Physics | 0 | Active |
| US12244354B2 | Systems and methods for analog computing using a linear photonic processor | Electricity | 0 | Active |
| US12033065B2 | Convolutional layers for neural networks using programmable nanophotonics | Physics | 0 | Active |
| US11709520B2 | Path-number-balanced universal photonic network | Physics | 0 | Active |
| US12153975B2 | Hybrid analog-digital matrix processors | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.