Issued Patents 2023
Showing 1–11 of 11 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 11853897 | Neural network training with decreased memory consumption and processor utilization | Taesik Na, Daniel Lo, Haishan ZHU | 2023-12-26 |
| 11790212 | Quantization-aware neural architecture search | Kalin Ovtcharov, Vahideh Akhlaghi, Ritchie Zhao | 2023-10-17 |
| 11741362 | Training neural networks using mixed precision computations | Daniel Lo, Bita Darvish Rouhani | 2023-08-29 |
| 11676003 | Training neural network accelerators using mixed precision data formats | Bita Darvish Rouhani, Taesik Na, Daniel Lo, Douglas C. Burger | 2023-06-13 |
| 11663450 | Neural network processing with chained instructions | Jeremy Fowers, Douglas C. Burger | 2023-05-30 |
| 11645493 | Flow for quantized neural networks | Douglas C. Burger, Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao | 2023-05-09 |
| 11604960 | Differential bit width neural architecture search | Kalin Ovtcharov, Vahideh Akhlaghi, Ritchie Zhao | 2023-03-14 |
| 11586883 | Residual quantization for neural networks | Daniel Lo, Jialiang Zhang, Ritchie Zhao | 2023-02-21 |
| 11574239 | Outlier quantization for training and inference | Daniel Lo, Ritchie Zhao | 2023-02-07 |
| 11562247 | Neural network activation compression with non-uniform mantissas | Daniel Lo, Amar Phanishayee, Yiren Zhao | 2023-01-24 |
| 11556762 | Neural network processor based on application specific synthesis specialization parameters | Jeremy Fowers, Kalin Ovtcharov, Todd Michael Massengill, Ming Liu, Gabriel Leonard Weisz | 2023-01-17 |