Perceive Corporation
83Patents
83Active
83Granted
55Portfolio score
Filing activity: Jul 31, 2016 → Oct 10, 2022
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11250326B1 | Splitting neural network filters for implementation by neural network inference circuit | Physics | 46 | Active |
| US10453220B1 | Machine-trained network for misalignment-insensitive depth perception | Electricity | 34 | Active |
| US10740434B1 | Reduced dot product computation circuit | Physics | 30 | Active |
| US10592732B1 | Probabilistic loss function for training network with triplets | Physics | 21 | Active |
| US11049013B1 | Encoding of weight values stored on neural network inference circuit | Physics | 17 | Active |
| US11610154B1 | Preventing overfitting of hyperparameters during training of network | Physics | 14 | Active |
| US11468145B1 | Storage of input values within core of neural network inference circuit | Physics | 14 | Active |
| US11170289B1 | Computation of neural network node by neural network inference circuit | Physics | 13 | Active |
| US11210586B1 | Weight value decoder of neural network inference circuit | Physics | 12 | Active |
| US11347297B1 | Neural network inference circuit employing dynamic memory sleep | Physics | 11 | Active |
| US10586151B1 | Mitigating overfitting in training machine trained networks | Physics | 8 | Active |
| US11615322B1 | Compiler for implementing memory shutdown for neural network implementation configuration | Physics | 8 | Active |
| US11568227B1 | Neural network inference circuit read controller with multiple operational modes | Physics | 7 | Active |
| US11531879B1 | Iterative transfer of machine-trained network inputs from validation set to training set | Physics | 6 | Active |
| US10671888B1 | Using batches of training items for training a network | Physics | 6 | Active |
| US11586910B1 | Write cache for neural network inference circuit | Physics | 5 | Active |
| US11222257B1 | Non-dot product computations on neural network inference circuit | Physics | 5 | Active |
| US11625585B1 | Compiler for optimizing filter sparsity for neural network implementation configuration | Physics | 5 | Active |
| US11295200B1 | Time-multiplexed dot products for neural network inference circuit | Physics | 4 | Active |
| US10867247B1 | Machine learning through multiple layers of novel machine trained processing nodes | Physics | 4 | Active |
| US11113603B1 | Training network with discrete weight values | Physics | 4 | Active |
| US11205115B1 | Neural network inference circuit | Physics | 4 | Active |
| US11475310B1 | Training network to minimize worst-case error | Physics | 4 | Active |
| US10742959B1 | Use of machine-trained network for misalignment-insensitive depth perception | Electricity | 4 | Active |
| US10863127B1 | Compressive sensing based image capture using multi-lens array | Electricity | 4 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.