30 results about "ENCODE" patented technology

An encoder is configured to encode a representation of a current picture of a video stream of multiple pictures. The encoder is further configured to encode, for each of a plurality of reference pictures included in a buffer description for the current picture, a respective one-bit flag according to one of two available values for the one-bit flag. The two available values for the one-bit flag include a first value explicitly indicating to a decoder to include the reference picture in a reference picture list for decoding the current picture. The two available values for the one-bit flag further include a second value explicitly indicating to the decoder not to include the reference picture in the reference picture list for decoding the current picture. The encoder is further configured to output the representation of the current picture and the one-bit flags.

A system and method for multi-level compaction of floating-point numbers and associated metadata within datasets. The system identifies floating-point numbers and their associated metadata, pre-encodes numbers into binary string representations, and encodes metadata into compact binary form. These encoded elements are linked together and indexed to indicate they represent floating-point numbers with metadata. The dataset is organized into multiple compaction levels based on semantic relationships between metadata elements. The system creates specialized indices for metadata-based retrieval, maintains relationship maps, and implements inheritance policies across hierarchical levels. During retrieval, the system reconstructs both the original floating-point values and their associated metadata, preserving hierarchical relationships. This approach enables more intelligent data organization, richer contextual information preservation, and more powerful query capabilities while maintaining efficient floating-point compaction.

Provided herein are encrypted RNAs, and DNAs that encode encrypted RNAs, that enable increased translation of polypeptides, including therapeutic polypeptides, after being contacted by translation activators, and methods of their use.

An encoder is configured to encode a representation of a current picture of a video stream of multiple pictures. The encoder is further configured to encode, for each of a plurality of reference pictures included in a buffer description for the current picture, a respective one-bit flag according to one of two available values for the one-bit flag. The two available values for the one-bit flag include a first value explicitly indicating to a decoder to include the reference picture in a reference picture list for decoding the current picture. The two available values for the one-bit flag further include a second value explicitly indicating to the decoder not to include the reference picture in the reference picture list for decoding the current picture. The encoder is further configured to output the representation of the current picture and the one-bit flags.

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating a matched-data-link tree defining relationships among individuals according to genetic data. For example, the disclosed systems can determine matches of matches using a novel matching database structure. The disclosed systems encode integers based on data matches of a data identifier and populate a match database with the integers. Correlating data match integers for a data identifier with data match integers for data matches, the disclosed systems generate matches of matches. The disclosed systems can generate relationship clusters from matches of matches. For example, the disclosed systems compare sets of data matches to discover groups of data matches with stronger data-match levels. The disclosed systems can generate and populate a data-link tree from a relationship cluster. In addition, the disclosed systems can merge one or more data-link trees into a single data-link tree.

The invention provides for delivery, engineering and optimization of systems, methods and compositions for manipulation of sequences and / or activities of target sequences. Provided are delivery systems and tissues or organ which are targeted as sites for delivery. Also provided are vectors and vector systems some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in eukaryotic cells to ensure enhanced specificity for target recognition and avoidance of toxicity and to edit or modify a target site in a genomic locus of interest to alter or improve the status of a disease or a condition.

An apparatus is configured to determine to encode or decode a first coding tree unit, where a second coding tree unit is at least partially different from the first coding tree unit, where the second coding tree unit comprises previously encoded or decoded coding tree units; in response to determining to encode or decode the first coding tree unit, determining at least one stored syntax element value based at least in part on the location of the first coding tree unit; and updating at least one state variable of the device based at least in part on the at least one stored syntax element value.

In various implementations, method and devices are disclosed that encode or decode a block of a picture with an intra merge prediction mode wherein an intra merge candidates list is constructed, an intra merge candidate from the intra merge candidates list is selected; and the block is encoded or decoded based at least on the selected intra merge candidate. According to a first aspect, the intra merge candidates list may include at least one temporal intra merge candidate for the block belonging to an inter slice. According to a second aspect, the intra merge candidates list may include at least one history-based intra merge candidate. According to another aspect, intra merge candidates list may be ordered based on template cost.

Various embodiments provide an apparatus, a method and a computer program product for end-to-end learned predictive coding of media frames. An example apparatus includes at least one processor; and at least one non-transitory memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform: encode or decode one or more media frames for at least one neural network; wherein an inter-frame codec is applied to at least one media frame of the one or more media frames; and wherein a first decoded reference frame and a second decoded reference frame refer to reference frames for the at least one media frame.

The invention provides for delivery, engineering and optimization of systems, methods, and compositions for manipulation of sequences and / or activities of target sequences. Provided are delivery particle formulations and / or systems comprising one or more components of a CRISPR-Cas system, which are means for targeting sites for delivery. The delivery particle formulations of the invention are preferably nanoparticle delivery formulations and / or systems. Also provided are vectors and vector systems some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in eukaryotic cells to ensure enhanced specificity for target recognition and avoidance of toxicity and to edit or modify a target site in a genomic locus of interest to alter or improve the status of a disease or a condition.

A method and system are described for encoding and encrypting information. The method comprises obtaining information to encode, generating a partition, the partition being generated using at least one of a Jordan polygon generator, an SFC generator, and a closed Hamiltonian path generator; converting the generated partition into a series of triplets representing the partition, in which each triplet is defined by a point and its two neighbors; determining a density associated with each point using the series of triplets; coloring each point using at least the associated density to generate the unicellular topological stencil. The method is characterized in that the information to encode is used in at least one of the generation of the partition, the determination of the density associated with each point, and the coloring of each point.

The application provides a kind of joint detection method based on man-machine cooperation's stain analysis and symbolic execution, belongs to network security technical field, solves the positioning and efficiency problem in software interface defect detection;Method includes: software defect interface identification: preliminary analysis extracts the defect information suspected to exist in software code;Software interface execution path analysis: generate the symbolic execution path to the software interface call point and encode, indicate the characteristics after software interface call;Man-machine cooperative defect detection: user judges whether interface exists misuse, and the judgment result is used as machine learning sample;By machine learning algorithm, the probability that software interface call point exists misuse is calculated by active learning in batches, and the detection process is completed in an iterative manner, and the most possible software interface with defects is found out;The application has the characteristics of high efficiency, precision and safety in the process of software defect detection, and can effectively mine the defects existing in software code when calling.

The invention provides for systems, methods, and compositions for manipulation of sequences and / or activities of target sequences. Provided are vectors and vector systems, some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in eukaryotic cells and methods for selecting specific cells by introducing precise mutations utilizing the CRISPR / Cas system.

The invention provides for delivery, engineering and optimization of systems, methods, and compositions for manipulation of sequences and / or activities of target sequences. Provided are delivery systems and tissues or organ which are targeted as sites for delivery. Also provided are vectors and vector systems some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in eukaryotic cells to ensure enhanced specificity for target recognition and avoidance of toxicity and to edit or modify a target site in a genomic locus of interest to alter or improve the status of a disease or a condition.

A video coder (encoder or decoder) derives an auto-relocated (AR) block vector prediction (BVP) candidate by applying AR BVP to a BVP candidate for a current block. The deriving comprises determining a position in a guiding reference block based on the BVP candidate, obtaining a coding BV used by an intra-prediction-mode (IPM)-based intra coding mode of a block containing the position, and deriving the AR-BVP candidate based on the coding BV and the BVP candidate. The video coder determines a list of BVP candidates based on the BVP candidate and the AR-BVP candidate, and further determines, based on the list of BVP candidates, a block vector (BV) indicating a reference block for the current block. The video coder codes (encodes or decodes) the current block based on the reference block.

In various implementations, method and devices are disclosed encode or decode a block of a picture using a weighted combination involving at least one intra prediction derived from an intra mode candidates list that includes a matrix based intra prediction mode MIP2. For instance, the weighted combination involving at least one intra prediction includes a geometric partitioning mode GPM among a plurality of geometric partitioning modes including GPM-Intra, Spatial Geometric Partitioning Mode SGPM, Intra Block Copy geometric partitioning mode IBC-GPM. For instance, a weighted combination involving at least one intra prediction includes a Combined Inter-Intra Partition CIIP, or an Intra Block Copy with Combined Inter-Intra Partition IBC-CIIP.

The aspects described herein may enable an apparatus to jointly encode two or more payloads using a single polar encoder device, while providing unequal error protection for the payloads. The apparatus causes a polar encoder to polar encode a first payload and a second payload to generate a polar encoded codeword. The polar encoder is configured to encode one or more bits of the first payload at a first reliability level and encode one or more bits of the second payload at a second reliability level, where the one or more bits of the first payload are associated with a first priority level and the one or more bits of the second payload are associated with a second priority level. The apparatus transmits the polar encoded codeword.

A small molecule cross-modal generation method based on scGPT encodes and extracts features from the preprocessed gene transcription profile and small molecule data using a gene encoder and a molecule encoder respectively, maps the two modalities to the same dimensional space using a fully connected layer, and performs multi-modal matching of the gene modality and the small molecule modality through contrast learning, aligns the gene vector through an autoregressive model to convert the gene modality to the small molecule modality, and finally outputs the small molecule vector in SMILES and Mol formats. The present application obtains candidate molecules capable of inducing the required transcriptome profile by inputting the required gene expression profile and the control gene expression profile.

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating a matched-data-link tree defining relationships among individuals according to genetic data. For example, the disclosed systems can determine matches of matches using a novel matching database structure. The disclosed systems encode integers based on data matches of a data identifier and populate a match database with the integers. Correlating data match integers for a data identifier with data match integers for data matches, the disclosed systems generate matches of matches. The disclosed systems can generate relationship clusters from matches of matches. For example, the disclosed systems compare sets of data matches to discover groups of data matches with stronger data-match levels.

A system and a method for privacy preserved and fair synthetic data with proofs is disclosed The system a processor, and memory with instructions to: receive seed data with differing schemas; combine samples into a schema-consistent dataset by reconciling names, types and missing semantics; encode columns by characteristics to optimize representation; predict training requirements (batch size, learning rate, convergence) to optimize training; convert encoded data to training format; train generative models to produce synthetic records preserving statistical relations; sample models to produce records that maintain mathematical consistency with key statistics; generate proofs validating fairness and accuracy between synthetic and real records; assess privacy and fairness risks via attribute sensitivity and representation ratios and use results to guide parameters and sampling; and present via a user interface about job statuses, fairness indices, privacy scores, utility metrics and volumes to a user for governance.

In various implementations, method and devices are disclosed encode or decode a block of a picture using a weighted combination involving at least one intra prediction derived from an intra mode candidates list that includes a matrix based intra prediction mode MIP2. For instance, the weighted combination involving at least one intra prediction includes a geometric partitioning mode GPM among a plurality of geometric partitioning modes including GPM-Intra, Spatial Geometric Partitioning Mode SGPM, Intra Block Copy geometric partitioning mode IBC-GPM. For instance, a weighted combination involving at least one intra prediction includes a Combined Inter-Intra Partition CIIP, or an Intra Block Copy with Combined Inter-Intra Partition IBC-CIIP.

A system and a method for unstructured synthetic data generation is disclosed. The system a processor, and memory with instructions to: The system includes a processor. A memory coupled to the processor comprises instructions causing reception of real-time input data from sources, the input comprising textual / non- textual data; analyse structure to select encoding per modality; encode textual data via tokenization, embeddings or character encoding and non-textual data via normalization, one-hot or scaling to produce encoded data; segregate encoded textual, numerical and categorical portions into groups; train and fine-tune transformer on the encoded data using metrics; generate conditional textual data from contextual cues; combine modalities by aligning formats to produce unified dataset; process the unified dataset to preserve textual semantics and statistical compatibility; and output the unified dataset as a fusion retaining semantic integrity and statistical fidelity.

This invention provides a device for generating three-dimensional objects that encode data using additive manufacturing. [Solution] The present invention relates to an apparatus for generating a three-dimensional object for which data is encoded by additive manufacturing, the apparatus comprising a memory (4), an encoder (6), an initializer (8), and a computer (10), wherein the memory (4) is configured to receive information data to be encoded, as well as object substrate data including shape data and encoding type data, the encoder (6) is configured to determine a series of target lengths and a number of layers based on the information data to be encoded and the encoding type data, the initializer (8) is configured to initialize a three-dimensional object model from the shape data having a stack of layers corresponding to the number of layers in the manufacturing direction of additive manufacturing, the initializer (8) defines an object surface, defines a number of measurement points on the object surface corresponding to the number of lengths included in a series of target lengths, generates paths between pairs of measurement points, each path being a predetermined number of lengths in the series of target lengths Each measurement point is associated with a unique path, the length of which is less than or equal to the target length to which the path is associated, the path is defined by a fixed-dimensional sequence of movement between the measurement points associated with the path, each movement is represented along one of three directions associated with a three-dimensional reference point, one of which is the manufacturing direction of additive manufacturing, each movement defines a space within a stack of layers that enables the measurement of a physical property characterizing the measurement associated with the path to which the movement belongs, the computer (10) is configured to modify the path movements generated by the initializer (8) by applying stochastic optimization so that each path has a length that matches the associated target length, the steps of the stochastic optimization are exclusively the addition, deletion, or modification of one or more movements, the steps further maintain the continuity of each path, the inclusion of each path in the stack of layers, and prevent overlap or adjacency of two paths.

The invention provides a method for selectively accumulating genetic modifications in an offspring cell of a microbial species, wherein the microbial species has (i) a first mating type and (ii) a second mating type compatible with the first mating type; and wherein the method comprises a mating cycle comprising: a preparation stage comprising providing a first cell and a second cell of the microbial species, the first cell having the first mating type and the second cell having the second mating type, wherein the first cell and the second cell have a first locus, a second locus, a third locus, a fourth locus, and a fifth locus, wherein preferably at least the fourth locus and the fifth locus are chromosomal loci, and wherein: the first locus of the first cell encodes a first guide RNA, wherein the first guide RNA is configured to hybridize with a first target sequence, wherein the first locus of the second cell comprises the first target sequence; the second locus of the second cell encodes a second guide RNA, wherein the second guide RNA is configured to hybridize with a second target sequence, wherein the second locus of the first cell comprises the second target sequence; the third locus of the first cell and the third locus of the second cell encode an RNA-guided DNA endonuclease, wherein the RNA-guided DNA endonuclease is configured to functionally associate with the first guide RNA and with the second guide RNA; the fourth locus of the first cell comprises a first mating-type promoter configured to facilitate expression of a first selectable marker providing a first selectable trait in cells having the first mating type; the fourth locus of the second cell comprises a second mating-type promoter configured to facilitate expression of a second selectable marker providing a second selectable trait in cells having the second mating type; the fifth locus of the first cell comprises a third selectable marker providing a third selectable trait; the fifth locus of the second cell comprises a fourth selectable marker providing a fourth selectable trait; and preferably the first selectable trait, the second selectable trait, the third selectable trait and the fourth selectable trait differ from each other; a mating stage comprising bringing the first cell and the second cell in contact with each other to provide an offspring cell population; and a selection stage comprising selecting the offspring cell from the offspring cell population or from cells derived therefrom, wherein the offspring cell is selected based on at least two selectable traits, wherein preferably the at least two selectable traits comprise one or more of (a) at least the third selectable trait and the fourth selectable trait, (b) at least the first selectable trait and the fourth selectable trait, and (c) at least the second selectable trait and the third selectable trait.

An apparatus includes an encoder, which receives image or video data, encodes the data and provides a bitstream. The encoder includes a CABAC encoder, which receives a binary valued syntax element associated with a block of the data to be encoded, and encodes, using a selected context model, the syntax element into coded bits for the bitstream. The syntax element includes a tool flag indicating whether or not certain coding tool is employed when encoding a block of the data. For a block of the data which exhibits an aspect ratio larger than 2 and for a block of the data which exhibits an aspect ratio less than or equal to 2, and to which blocks the certain coding tool is applicable, first and second context models for encoding the tool flag are selected from a group of one or more first and second context models, respectively.

In various implementations, method and devices are disclosed that encode or decode a block of a picture with an intra merge prediction mode wherein an intra merge candidates list is constructed, an intra merge candidate from the intra merge candidates list is selected; and the block is encoded or decoded based at least on the selected intra merge candidate. According to a first aspect, the intra merge candidates list may include at least one temporal intra merge candidate for the block belonging to an inter slice. According to a second aspect, the intra merge candidates list may include at least one history-based intra merge candidate. According to another aspect, intra merge candidates list may be ordered based on template cost.

The application provides a kind of multi-modal recommendation method and system based on hierarchical fusion network, the method includes the following steps: obtaining the user information of target user and article multi-modal information;Encoding is carried out by encoder, obtains multiple article single modal characteristics, and constructs multiple single modal article-article graphs;All single modal characteristics are fused by cross-modal alignment, to obtain cross-modal fusion characteristics, construct cross-modal article-article graph according to cross-modal fusion characteristics;Combine user information, historical interaction record and article multi-modal information to construct user-article graph;Based on multiple article single modal characteristics, the feature difference score between each article single modal characteristic is calculated;Based on feature difference score and by hierarchical fusion network, output user feature representation and article global fusion feature representation;The article recommendation result for target user is calculated by TOP-K method.The application has the effect that the output is more ideal multi-modal recommendation result.

A method performed by at least one processor of an encoder includes bounding a mesh via a bounding box; partitioning the mesh via a global symmetry plane that partitions the mesh into a first side and a second side that is opposite to the first side; dividing the mesh into a plurality of slices; determining a local symmetry plane for each slice based on the global symmetry plane; based on a determination that a vertex merging condition is satisfied for a first slice from the plurality of slices that shares a boundary with a second slice from the plurality of slices, merging one or more vertices in the boundary of the second slice with one or more vertices in the boundary of the first slice; and encoding each slice from the plurality of slices as a respective sub-mesh of the mesh.

The invention provides for delivery, engineering and optimization of systems, methods, and compositions for manipulation of sequences and / or activities of target sequences. Provided are vectors and vector systems, some of which encode one or more components of a CRISPR complex, as well as methods for the design and use of such vectors. Also provided are methods of directing CRISPR complex formation in prokaryotic and eukaryotic cells to ensure enhanced specificity for target recognition and avoidance of toxicity.

The application provides a gene sequence alignment method and system based on multi-party secure calculation, comprising: a first participant and a second participant encode base sequence into integer sequence and binary sequence and distribute to each other; the first participant and the second participant respectively calculate two-by-two alignment first scores of their own held sequences under plaintext conditions, and send the first score split shares to each other through a secret sharing protocol; under the condition of holding two-party base sequence shares, the two parties jointly calculate second scores of two-by-two alignment of the sequences of the two parties, and send the second score split shares to each party holding respectively; the first participant and the second participant calculate the highest third score as an axis sequence according to the shares of the two-by-two alignment scores of all the sequences held; the first participant and the second participant respectively align their own held sequences with the axis sequence under the secret share condition. The application solves the problem of privacy leakage risk generally existing in the prior art plaintext sequence alignment.