Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
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Eric A. Sather — 40 Patents

PEPerceive: 26 patents #4 of 11Top 40%
Amazon: 6 patents #2,730 of 19,158Top 15%
ACActel: 4 patents #57 of 156Top 40%
TATabula: 2 patents #16 of 42Top 40%
Microsoft: 2 patents #17,644 of 40,388Top 45%
Palo Alto, CA: #508 of 9,675 inventorsTop 6%
California: #11,486 of 386,348 inventorsTop 3%
Overall (All Time): #78,057 of 4,157,543Top 2%
40 Patents All Time
Eric A. Sather has been granted 40 US patents while listed as an inventor at Perceive. The first was granted in 2005 and the most recent in November 2025. Eric A. Sather ranks #78,057 of 4,157,543 US inventors in our database (top 1.9%). Patent records list Eric A. Sather in Palo Alto, CA, US.

Issued Patents All Time

Showing 1–25 of 40 patents

Patent #TitleCo-InventorsDateApprox Value ⓘ
12462350 Circuit for executing stateful neural network Andrew C. Mihal, Steven Teig 2025-11-04
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 $349,111,000
12165066 Training network to maximize true positive rate at low false positive rate Steven Teig, Andrew C. Mihal 2024-12-10 $377,885,000
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