Patents by Inventor Amir More

Amir More has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Data Compression and Decompression Facilitated By Machine Learning
    Publication number: 20230325357
    Abstract: Disclosed herein are embodiments for compressing data. A first encoding, a decoding, and an error prediction index are received from one or more artificial neural networks. The first encoding corresponds to a lossy compression of the data. The decoding corresponds to a decompression of the first encoding. The error prediction index indicates one or more locations of predicted error in the decoding. Based on the data and the error prediction index, a first set of bits is generated to include one or more bit values of the data at the one or more locations of predicted error. Based on the error prediction index and the decoding, a second set of bits is generated to indicate one or more locations of unpredicted error in the decoding. The first encoding, the first set of bits, and the second set of bits are stored as a losslessly compressed version of the data.
    Type: Application
    Filed: February 28, 2023
    Publication date: October 12, 2023
    Inventor: Amir More
  • Data compression and decompression facilitated by machine learning
    Patent number: 11615057
    Abstract: Disclosed herein are embodiments for compressing data. A first encoding, a decoding, and an error prediction index are received from one or more artificial neural networks. The first encoding corresponds to a lossy compression of the data. The decoding corresponds to a decompression of the first encoding. The error prediction index indicates one or more locations of predicted error in the decoding. Based on the data and the error prediction index, a first set of bits is generated to include one or more bit values of the data at the one or more locations of predicted error. Based on the error prediction index and the decoding, a second set of bits is generated to indicate one or more locations of unpredicted error in the decoding. The first encoding, the first set of bits, and the second set of bits are stored as a losslessly compressed version of the data.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: March 28, 2023
    Inventor: Amir More
  • Data Compression and Decompression Facilitated by Machine Learning
    Publication number: 20200272605
    Abstract: Disclosed herein are embodiments for compressing data. A first encoding, a decoding, and an error prediction index are received from one or more artificial neural networks. The first encoding corresponds to a lossy compression of the data. The decoding corresponds to a decompression of the first encoding. The error prediction index indicates one or more locations of predicted error in the decoding. Based on the data and the error prediction index, a first set of bits is generated to include one or more bit values of the data at the one or more locations of predicted error. Based on the error prediction index and the decoding, a second set of bits is generated to indicate one or more locations of unpredicted error in the decoding. The first encoding, the first set of bits, and the second set of bits are stored as a losslessly compressed version of the data.
    Type: Application
    Filed: February 21, 2020
    Publication date: August 27, 2020
    Inventor: Amir More