name:-0.0093979835510254
name:-0.043374061584473
name:-0.02157187461853
Perceive Corporation Patent Filings

Perceive Corporation

Patent Applications and Registrations

Patent applications and USPTO patent grants for Perceive Corporation.The latest application filed is for "mitigating overfitting in training machine trained networks".

Company Profile
20.72.9
  • Perceive Corporation - San Jose CA US
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Trademarks
Patent Activity
PatentDate
Mitigating Overfitting In Training Machine Trained Networks
App 20220292359 - Teig; Steven L.
2022-09-15
Neural Network Inference Circuit Employing Dynamic Memory Sleep
App 20220291739 - Ko; Jung ;   et al.
2022-09-15
Device storing multiple sets of parameters for machine-trained network
Grant 11,429,861 - Teig , et al. August 30, 2
2022-08-30
Using quinary weights with neural network inference circuit designed for ternary weights
Grant 11,403,530 - Ko , et al. August 2, 2
2022-08-02
Machine-trained network for misalignment-insensitive depth perception
Grant 11,373,325 - Mihal , et al. June 28, 2
2022-06-28
Using lookup table to represent neural network activation function
Grant 11,361,213 - Duong , et al. June 14, 2
2022-06-14
Neural network inference circuit employing dynamic memory sleep
Grant 11,347,297 - Ko , et al. May 31, 2
2022-05-31
Mitigating overfitting in training machine trained networks
Grant 11,348,006 - Teig May 31, 2
2022-05-31
Computation of neural network node
Grant 11,341,397 - Duong , et al. May 24, 2
2022-05-24
Time-multiplexed dot products for neural network inference circuit
Grant 11,295,200 - Ko , et al. April 5, 2
2022-04-05
Using Batches Of Training Items For Training A Network
App 20220051002 - Sather; Eric A. ;   et al.
2022-02-17
Machine-trained network detecting context-sensitive wake expressions for a digital assistant
Grant 11,250,840 - Teig February 15, 2
2022-02-15
Splitting neural network filters for implementation by neural network inference circuit
Grant 11,250,326 - Ko , et al. February 15, 2
2022-02-15
Compressive sensing based image processing
Grant 11,244,477 - Mohammed February 8, 2
2022-02-08
Non-dot product computations on neural network inference circuit
Grant 11,222,257 - Ko , et al. January 11, 2
2022-01-11
Weight value decoder of neural network inference circuit
Grant 11,210,586 - Duong , et al. December 28, 2
2021-12-28
Neural network inference circuit
Grant 11,205,115 - Duong , et al. December 21, 2
2021-12-21
Computation of neural network node by neural network inference circuit
Grant 11,170,289 - Duong , et al. November 9, 2
2021-11-09
Using batches of training items for training a network
Grant 11,163,986 - Sather , et al. November 2, 2
2021-11-02
Video denoising using neural networks with spatial and temporal features
Grant 11,151,695 - Mihal , et al. October 19, 2
2021-10-19
Training network with discrete weight values
Grant 11,113,603 - Teig , et al. September 7, 2
2021-09-07
Reduced Dot Product Computation Circuit
App 20210263995 - Duong; Kenneth ;   et al.
2021-08-26
Compressive sensing based image capture using diffractive mask
Grant 11,094,090 - Mohammed August 17, 2
2021-08-17
Encoding of weight values stored on neural network inference circuit
Grant 11,049,013 - Duong , et al. June 29, 2
2021-06-29
Use of machine-trained network for misalignment identification
Grant 11,043,006 - Mihal , et al. June 22, 2
2021-06-22
Machine Learning Through Multiple Layers Of Novel Machine Trained Processing Nodes
App 20210182689 - Teig; Steven L.
2021-06-17
Device storing ternary weight parameters for machine-trained network
Grant 11,017,295 - Teig , et al. May 25, 2
2021-05-25
Reduced dot product computation circuit
Grant 11,003,736 - Duong , et al. May 11, 2
2021-05-11
Reduced-area circuit for dot product computation
Grant 10,977,338 - Duong , et al. April 13, 2
2021-04-13
Compressive sensing based image capture device
Grant 10,937,196 - Mohammed March 2, 2
2021-03-02
Machine learning through multiple layers of novel machine trained processing nodes
Grant 10,936,951 - Teig March 2, 2
2021-03-02
Quantizing Neural Networks Using Approximate Quantization Function
App 20210034955 - Sather; Eric A. ;   et al.
2021-02-04
Quantizing Neural Networks Using Shifting And Scaling
App 20210034982 - Sather; Eric A. ;   et al.
2021-02-04
Compressive sensing based image capture using dynamic masking
Grant 10,887,537 - Mohammed January 5, 2
2021-01-05
Training network for compressive sensing based image processing
Grant 10,885,674 - Mohammed January 5, 2
2021-01-05
Machine learning through multiple layers of novel machine trained processing nodes
Grant 10,867,247 - Teig December 15, 2
2020-12-15
Compressive sensing based image capture using multi-lens array
Grant 10,863,127 - Mohammed December 8, 2
2020-12-08
Reduced Dot Product Computation Circuit
App 20200342046 - Duong; Kenneth ;   et al.
2020-10-29
Reduced dot product computation circuit
Grant 10,740,434 - Duong , et al. A
2020-08-11
Use of machine-trained network for misalignment-insensitive depth perception
Grant 10,742,959 - Mihal , et al. A
2020-08-11
Using Batches Of Training Items For Training A Network
App 20200250476 - Kind Code
2020-08-06
Using batches of training items for training a network
Grant 10,671,888 - Sather , et al.
2020-06-02
Probabilistic loss function for training network with triplets
Grant 10,592,732 - Sather , et al.
2020-03-17
Mitigating overfitting in training machine trained networks
Grant 10,586,151 - Teig
2020-03-10
Machine-trained network for misalignment-insensitive depth perception
Grant 10,453,220 - Mihal , et al. Oc
2019-10-22

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