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公开(公告)号：US20250070796A1
公开(公告)日：2025-02-27
申请号：US18939560
申请日：2024-11-07
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Grant Fickes
Abstract: A system and methods for integrated data processing and protocol adaptation using dyadic distribution-based compression. The system transforms input data into a dyadic distribution, enabling efficient compression through either variational autoencoders or Huffman encoding. A novel protocol appendix generator creates transformation rules for adapting the compressed data to various network protocols. The system interleaves transformation information with the compressed data, enhancing security and ensuring comprehensive data transmission. An enhanced codeword decoder, employing a hybrid neural network architecture, decodes the data and adapts it to target protocols. The system features a protocol handler using meta-learning techniques for adapting to unfamiliar protocols. Continuous learning mechanisms optimize performance over time. This integrated approach offers significant advantages in data efficiency, security, and protocol flexibility, making it particularly suitable for complex, heterogeneous data environments such as IoT networks, cloud computing, and big data analytics.
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公开(公告)号：US12237848B2
公开(公告)日：2025-02-25
申请号：US18503135
申请日：2023-11-06
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Aliasghar Riahi , Mojgan Haddad , Ryan Kourosh Riahi , Razmin Riahi , Charles Yeomans
Abstract: A system and method for encrypted data compression, which uses frequency analysis on data blocks within an input data stream to produce a prefix table, representing a first layer of transformation, and which applies a Burrow's-Wheeler transform (BWT) to the data inside the prefix table, representing a second layer of transformation, and which compresses the transformed data. In some implementations, the system and method may further include applying the BWT to a conditioned stream of genomic data, wherein the conditioned stream of data is accompanied by an error stream comprising the differences between the original data and the encrypted data.
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公开(公告)号：US12230285B2
公开(公告)日：2025-02-18
申请号：US18628556
申请日：2024-04-05
Inventor： Markus Multrus , Bernhard Grill , Guillaume Fuchs , Stefan Geyersberger , Nikolaus Rettelbach , Virgilio Bacigalupo
IPC: G10L19/02 , G10L19/022 , G10L19/025 , H03M7/30 , H03M7/40
Abstract: An audio encoder for encoding segments of coefficients, the segments of coefficients representing different time or frequency resolutions of a sampled audio signal, the audio encoder including a processor for deriving a coding context for a currently encoded coefficient of a current segment based on a previously encoded coefficient of a previous segment, the previously encoded coefficient representing a different time or frequency resolution than the currently encoded coefficient. The audio encoder further includes an entropy encoder for encoding entropy the current coefficient based on the coding context to obtain an encoded audio stream.
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公开(公告)号：US20250055478A1
公开(公告)日：2025-02-13
申请号：US18717310
申请日：2022-12-06
Inventor： Chunyun CHEN , Mohamed Mostafa Sabry ALY , Zhe WANG , Jie LIN
Abstract: A decoder for decoding a codeword of a Tunstall code is provided, including: a sub-decoder configured to receive an input codeword of the Tunstall code to the decoder and output a decoded symbol of the input codeword: a symbol memory configured to receive and store the decoded symbol of the input codeword from the sub-decoder; and a controller configured to control the symbol memory to output one or more decoded symbols stored in the symbol memory. The sub-decoder includes: a node memory configured to store, for a plurality of nodes of a Tunstall tree of the Tunstall code corresponding to a first level of the Tunstall tree, a plurality of codewords of the Tunstall code assigned to the plurality of nodes, respectively: and a comparator configured to compare the input codeword with the plurality of codewords assigned to the plurality of nodes corresponding to the first level of the Tunstall tree received from the node memory and produce the decoded symbol of the input codeword with respect to the first level of the Tunstall tree based on the comparison. Another decoder for decoding a codeword of a Tunstall code is also provided, including: a symbol memory comprising a plurality of memory entries, each memory entry having stored therein one or more decoded symbols of a codeword of the Tunstall code corresponding to the memory entry; and a controller configured to receive an input codeword of the Tunstall code to the decoder and control the symbol memory to output the one or more decoded symbols stored in one of the plurality of memory entries corresponding to the input codeword.
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公开(公告)号：US20250055476A1
公开(公告)日：2025-02-13
申请号：US18926584
申请日：2024-10-25
Applicant: AtomBeam Technologies Inc.
Inventor： Joshua Cooper , Aliasghar Riahi
Abstract: A system and method for data compression with protocol adaptation, that utilizes a codebook generator which leverages one or more machine/deep learning algorithms trained on at least a plurality of protocol policies in order to generate a protocol appendix and codebook, wherein original data is encoded by an encoder according to the codebook and sent to a decoder, but instead of just decoding the data according to the codebook to reconstruct the original data, data manipulation rules such as mapping and transformation are applied at the decoding stage to transform the decoded data into protocol formatted data.
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Patent Agency Ranking
公开(公告)号：US12225105B1
公开(公告)日：2025-02-11
申请号：US18890774
申请日：2024-09-20
Applicant: AtomBeam Technologies Inc.
Inventor： Brian Galvin
Abstract: A system and method for compressing and restoring multi-modal data utilizing a variational autoencoder to enable homomorphic compression techniques is disclosed. Multi-modal input data, comprising at least two different data types, is compressed into a unified latent space using an encoder network of a multi-modal variational autoencoder. Homomorphic operations are performed on compressed data in the latent space. The latent space compressed data is decompressed using a decoder network of the multi-modal variational autoencoder. The system utilizes modality-specific layers and cross-modal attention mechanisms to effectively process diverse data types. The homomorphic operations enable performing computations while the data is in a compressed form, preserving results of those operations in the decompressed output. This approach allows for efficient storage, transmission, and analysis of multi-modal data while maintaining privacy and data integrity across different modalities.
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公开(公告)号：US12224777B1
公开(公告)日：2025-02-11
申请号：US18907442
申请日：2024-10-04
Applicant: AtomBeam Technologies Inc.
Inventor： Zhu Li , Paras Maharjan , Brian Galvin
IPC: H03M7/30
Abstract: For compressing data, preprocessing operations are performed on raw input data. A discrete cosine transform is performed on the preprocessed data, and multiple subbands are created, where each subband represents a particular range of frequencies. The subbands are organized into multiple groups, where the multiple groups comprise a first low frequency group, a second low frequency group, and a high frequency group. A latent space representation is generated corresponding to each of the multiple groups of subbands. A first bitstream is created based on the latent space representation, and an alternate representation of the latent space is used for creating a second bitstream, enabling multiple-pass techniques for data compression. The multiple bitstreams may be multiplexed to form a combined bitstream for storage and/or transmission purposes.
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公开(公告)号：US12224774B2
公开(公告)日：2025-02-11
申请号：US18096551
申请日：2023-01-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jong Hoon Shin , Ardavan Pedram , Joseph Hassoun
IPC: H03M7/30 , G06F8/41 , G06N3/0495 , G06N3/063 , H03M7/46
Abstract: A runtime data-format optimizer for a processing element includes a sparsity-detector and a compression-converter. The sparsity-detector selects a first compression-conversion format during a runtime of the processing element based on a performance model that is based on a first sparsity pattern of first data stored in a first memory that is exterior to the processing element and a second sparsity pattern of second data that is to be stored in a second memory within the processing element. The second sparsity pattern is based on a runtime configuration of the processing element. The first data is stored in the first memory using a first compression format and the second data is to be stored in the second memory using a second compression format. The compression-conversion circuit converts the first compression format of the first data to be the second compression format of the second data based on the first compression-conversion format.
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9.发明授权公开(公告)号：US12223346B2
公开(公告)日：2025-02-11
申请号：US17313893
申请日：2021-05-06
Applicant: Dell Products L.P.
Inventor： Young Hwan Jang , Gokul Thiruchengode Vajravel
Abstract: The compression and decompression of files can be selectively offloaded to a hardware controller. A hardware controller, such as the controller of an SSD or other drive, can include a compression engine that is configured to implement compression techniques. A filter driver in the I/O pathway on a computing device may be configured to intercept an application's attempt to write a file to or read a file from the SSD or other drive and to selectively offload compression or decompression of the file to a compression engine on the SSD or other drive.
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公开(公告)号：US20250047524A1
公开(公告)日：2025-02-06
申请号：US18787159
申请日：2024-07-29
Applicant: Nokia Technologies Oy
Inventor： Kursat MESTAV
Abstract: A method comprising: generating, at a terminal device, channel state information for a channel between the terminal device and a network device; generate compressed channel state information based on the channel state information by using a compression model; and transmit, to the network device, the compressed channel state information and an identification of the compression model.
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