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公开(公告)号：US12175638B1
公开(公告)日：2024-12-24
申请号：US18624038
申请日：2024-04-01
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Aliasghar Riahi , Charles Yeomans , Zhu Li
Abstract: A system and method are disclosed for low-light image enhancement using denoising preprocessing with wavelet decomposition AI-based techniques to enhance image quality of low-light images. Subsampled images are created from a raw input image. A wavelet decomposition process is performed on each subimage to create multiple frequency domain subimages. Each frequency domain subimage is input into a corresponding neural network. The output of each corresponding network is input to an inverse wavelet module. The output of the inverse wavelet module is a denoised image that is input to an image signal processing pipeline, where additional processing may be performed on the denoised image.
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公开(公告)号：US20240419329A1
公开(公告)日：2024-12-19
申请号：US18822209
申请日：2024-09-01
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Charles Yeomans
Abstract: A system and method for codebook management is disclosed. Training datasets are obtained from various data sources. A similarity score is generated for each training dataset with reference to the other training datasets. In response to detecting a similarity score above a predetermined threshold for one or more of the other training datasets, a combined codebook is created based on training datasets that have a similarity score above a predetermined threshold. Based on the similarity score, multiple data sources are combined into a group, and the combined codebook is used for the data sources within the group. A mismatch performance metric can be computed for the combined codebook, and a revised combined codebook can be regenerated in response to the mismatch performance metric being above a predetermined threshold.
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23.发明授权公开(公告)号：US12166506B2
公开(公告)日：2024-12-10
申请号：US18657719
申请日：2024-05-07
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Charles Yeomans , Zhu Li , Brian R. Galvin
Abstract: A system and methods for multi-type data compression or decompression with a virtual management layer, comprising. It incorporates a virtual management layer to organize incoming data types and select a compression or decompression system that utilizes a technique best suited for a particular data type. Associated data sets may be flagged prior to compression or decompression so that associated types may be preserved together after the compression or decompression process is complete. This approach allows each data type to be compressed or decompressed using a technique that is the most efficient for a particular data type. Additionally, the approach allows all information associated with a particular data set to be compressed or decompressed in some way.
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公开(公告)号：US20240372562A1
公开(公告)日：2024-11-07
申请号：US18770652
申请日：2024-07-12
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Grant Fickes , Charles Yeomans
Abstract: A system and method for simultaneous compression and encryption of data. The system analyzes input data to determine its properties and creates a transformation matrix based on these properties. Using this matrix, the input data is transformed into a modified distribution, generating a main data stream of transformed data and a secondary stream of transformation information. The main data stream is compressed, and both streams are combined into a single output. The system implements security measures to protect against various attacks, including side-channel vulnerabilities. By using a dyadic distribution algorithm, the system achieves both compression and encryption in a single pass over the data, offering significant efficiency gains. The system can operate in both lossless and lossy modes, providing flexibility for different application requirements. This approach offers a unique solution for data transmission and storage scenarios where both data reduction and security are critical concerns.
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公开(公告)号：US12136934B2
公开(公告)日：2024-11-05
申请号：US18644019
申请日：2024-04-23
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Charles Yeomans
Abstract: A system and method for event-driven data communication using codebooks with protocol adaption. The system initiates with a request for propagation information from an application to a first transaction manager. The first transaction manager configures a packet describing its location, potentially containing one or more protocol appendices, or encoded data using a codebook. This packet is provided to the application for transmission to another application with a second transaction manager. Upon receiving a protocol request from the second transaction manager, the first transaction manager communicates using a selected protocol decoded from the protocol appendix. If the selected protocol is supported, the transaction proceeds, completing successfully. This system enables transparent encoding, negotiation, and selection of communication protocols, allowing efficient transactions between different transaction managers.
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Patent Agency Ranking
公开(公告)号：US20240362189A1
公开(公告)日：2024-10-31
申请号：US18768606
申请日：2024-07-10
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Charles Yeomans
IPC: G06F16/174 , G06F3/06
CPC classification number: G06F16/1752 , G06F3/0608 , G06F3/0641 , G06F3/067
Abstract: A system and method for random-access manipulation of compacted data files, utilizing a reference codebook, a random-access engine, a data deconstruction engine, and a data deconstruction engine. The system may receive a data query pertaining to a data read or data write request, wherein the data file to be read from or written to is a compacted data file. A random-access engine may facilitate data manipulation processes by transforming the codebook into a hierarchical representation and then traversing the representation scanning for specific codewords associated with a data query request. In an embodiment, an estimator module is present and configured to utilize cardinality estimation to determine a starting codeword to begin searching the compacted data file for the data associated with the data query. The random-access engine may encode the data to be written, insert the encoded data into a compacted data file, and update the codebook as needed.
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公开(公告)号：US20240361908A1
公开(公告)日：2024-10-31
申请号：US18653482
申请日：2024-05-02
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Charles Yeomans
CPC classification number: G06F3/0608 , G06F3/0623 , G06F3/0656 , G06F3/0659 , G06F3/067 , G06F3/0679 , H03M7/405 , H03M7/6005 , H03M7/6011
Abstract: Health monitor data is encoded using a plurality of encoding libraries. Portions of the data are encoded by different encoding libraries, depending on which library provides the greatest compaction. This methodology not only provides substantial improvements in data compaction over use of a single data compaction algorithm with the highest average compaction, but also provides substantial additional security in that multiple decoding libraries must be used to decode the data. Optionally, each portion of data may further be encoded using different sourceblock sizes, providing further security enhancements as decoding requires multiple decoding libraries and knowledge of the sourceblock size used for each portion of the data.
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公开(公告)号：US20240329836A1
公开(公告)日：2024-10-03
申请号：US18737474
申请日：2024-06-07
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Aliasghar Riahi , Mojgan Haddad , Ryan Kourosh Riahi , Razmin Riahi , Charles Yeomans
CPC classification number: G06F3/0608 , G06F3/0623 , G06F3/0659 , G06F3/067 , H03M7/6005 , H03M7/6011
Abstract: A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.
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公开(公告)号：US12079168B2
公开(公告)日：2024-09-03
申请号：US18460676
申请日：2023-09-04
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Aliasghar Riahi , Mojgan Haddad , Ryan Kourosh Riahi , Razmin Riahi , Charles Yeomans
IPC: G06F16/174 , G06F3/06
CPC classification number: G06F16/1752 , G06F3/0608 , G06F3/0641 , G06F3/067
Abstract: A system and method for error-resilient data reduction, utilizing a phase detector, a data requestor, a multi-phase trainer, a reconstruction engine, a deconstruction engine, and one or more reference codebooks. A multi-phase trainer may be used to train the reconstruction and deconstruction engines on various phase sourceblocks in order recover quickly from corrupted data files that cause the phase alignment of the sourceblocks to become out of phase. A phase detector may determine when the sourceblocks get out of phase and when the return to in-phase by checking if a predetermined threshold probability of correct encoding is met. Data requestor may request for retransmission only the data that was received out of phase.
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公开(公告)号：US20240248602A1
公开(公告)日：2024-07-25
申请号：US18593931
申请日：2024-03-03
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Charles Yeomans
CPC classification number: G06F3/0608 , G06F3/0623 , G06F3/0659 , G06F3/067 , H03M7/6005 , H03M7/6011
Abstract: A system and method for codebook management is disclosed. Training datasets are obtained from various data sources. A similarity score is generated for each training dataset with reference to the other training datasets. In response to detecting a similarity score above a predetermined threshold for one or more of the other training datasets, a combined codebook is created based on training datasets that have a similarity score above a predetermined threshold. Based on the similarity score, multiple data sources are combined into a group, and the combined codebook is used for the data sources within the group. A mismatch performance metric can be computed for the combined codebook, and a revised combined codebook can be regenerated in response to the mismatch performance metric being above a predetermined threshold.
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