Issued Patents All Time
Showing 25 most recent of 39 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12367661 | Weighted selection of inputs for training machine-trained network | Steven Teig, Andrew Siegel, Evgeny Sorkin | 2025-07-22 |
| 12299555 | Training network with discrete weight values | Steven Teig | 2025-05-13 |
| 12248880 | Using batches of training items for training a network | Steven Teig, Andrew C. Mihal | 2025-03-11 |
| 12175368 | Training sparse networks with discrete weight values | Steven Teig | 2024-12-24 |
| 12165066 | Training network to maximize true positive rate at low false positive rate | Steven Teig, Andrew C. Mihal | 2024-12-10 |
| 12136039 | Optimizing global sparsity for neural network | Steven Teig | 2024-11-05 |
| 12112254 | Optimizing loss function during training of network | Steven Teig | 2024-10-08 |
| 12061988 | Decomposition of ternary weight tensors | Steven Teig | 2024-08-13 |
| 12061981 | Decomposition of weight tensors in network with value quantization | Steven Teig | 2024-08-13 |
| 12045725 | Batch normalization for replicated layers of neural network | Steven Teig | 2024-07-23 |
| 11995537 | Training network with batches of input instances | Steven Teig, Andrew C. Mihal | 2024-05-28 |
| 11995533 | Executing replicated neural network layers on inference circuit | Steven Teig | 2024-05-28 |
| 11900238 | Removing nodes from machine-trained network based on introduction of probabilistic noise during training | Steven Teig | 2024-02-13 |
| 11868871 | Circuit for executing stateful neural network | Andrew C. Mihal, Steven Teig | 2024-01-09 |
| 11847567 | Loss-aware replication of neural network layers | Steven Teig, Alexandru Drimbarean | 2023-12-19 |
| 11847568 | Quantizing neural networks using shifting and scaling | Steven Teig | 2023-12-19 |
| 11741369 | Using batches of training items for training a network | Steven Teig, Andrew C. Mihal | 2023-08-29 |
| 11620495 | Neural networks with spatial and temporal features | Andrew C. Mihal, Steven Teig | 2023-04-04 |
| 11610154 | Preventing overfitting of hyperparameters during training of network | Steven Teig | 2023-03-21 |
| 11604973 | Replication of neural network layers | Steven Teig | 2023-03-14 |
| 11586902 | Training network to minimize worst case surprise | Steven Teig, Andrew C. Mihal | 2023-02-21 |
| 11537870 | Training sparse networks with discrete weight values | Steven Teig | 2022-12-27 |
| 11531879 | Iterative transfer of machine-trained network inputs from validation set to training set | Steven Teig | 2022-12-20 |
| 11494657 | Quantizing neural networks using approximate quantization function | Steven Teig | 2022-11-08 |
| 11429861 | Device storing multiple sets of parameters for machine-trained network | Steven Teig | 2022-08-30 |