Caching techniques for a database change stream

    公开(公告)号:US11650985B2

    公开(公告)日:2023-05-16

    申请号:US17446197

    申请日:2021-08-27

    CPC classification number: G06F16/24552 G06F16/2282 G06F16/2358 G06F16/24568

    Abstract: Techniques are disclosed relating to caching techniques for processing a database change stream. A computer system may receive change records from a change stream that includes a plurality of records indicating changes to a database table. The change stream may include change records for multiple shards and be accessible by providing one or more position indicators for one or more of the multiple shards to request one or more change records and an updated position indicator. The system may store, for changes to a set of one or more shards, one or more cache entries that include respective groups of change records. The system may request a portion of the change stream by providing a received position indicator. The system may provide one or more cached change records from a cache entry that matches the provided position indicator.

    Continual neural network learning via explicit structure learning

    公开(公告)号:US11645509B2

    公开(公告)日:2023-05-09

    申请号:US16176419

    申请日:2018-10-31

    CPC classification number: G06N3/08 G06N3/04

    Abstract: Embodiments for training a neural network using sequential tasks are provided. A plurality of sequential tasks are received. For each task in the plurality of tasks a copy of the neural network that includes a plurality of layers is generated. From the copy of the neural network a task specific neural network is generated by performing an architectural search on the plurality of layers in the copy of the neural network. The architectural search identifies a plurality of candidate choices in the layers of the task specific neural network. Parameters in the task specific neural network that correspond to the plurality of candidate choices and that maximize architectural weights at each layer are identified. The parameters are retrained and merged with the neural network. The neural network trained on the plurality of sequential tasks is a trained neural network.

    SOFTWARE DEVELOPMENT TOOL AND SYSTEMS

    公开(公告)号:US20230133878A1

    公开(公告)日:2023-05-04

    申请号:US17513727

    申请日:2021-10-28

    Inventor: David KAYTES

    Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a software development tool that enables a set of computer-readable instructions to be requested and obtained in association with an element of a process flow represented in a layout. A set of specifications can be submitted in association with a request, where the set of specifications includes input-output value pairs. In response, the system can automatically generate a first set of computer-readable instructions according to the set of specifications, where the first set of computer-readable instructions implements a mapping between the input-output value pairs. In addition, the system can obtain a second set of computer-readable instructions according to the set of specifications, either from pre-existing software code or from individual(s) (e.g., software developer(s)) to whom the system has sent a request for computer-readable instructions. The system can replace the first set of computer-readable instructions with the second set of computer-readable instructions.

    One-to-Many Automatic Content Generation

    公开(公告)号:US20230129431A1

    公开(公告)日:2023-04-27

    申请号:US17649016

    申请日:2022-01-26

    Abstract: Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.

    AUTOMATIC PRODUCT DESCRIPTION GENERATION

    公开(公告)号:US20230128686A1

    公开(公告)日:2023-04-27

    申请号:US17509024

    申请日:2021-10-24

    Abstract: Systems, devices, and techniques are disclosed for automatic product description generation. A first set of features including labels including words may be generated from an image using a first feature extraction model. A second set of features including labels including words may be generated from the image using a second feature extraction model. A text description of a product depicted in the image may be generated by inputting the image and metadata for the image to a description generating model. The text description may include words. Each of the words may be generated by assigning probabilities to candidate words, boosting the assigned probabilities of candidate words that are similar to words of labels of the first set of features or words of labels of the second set of features, and selecting one of the candidate words based on the assigned probabilities after the boosting as a word of the text description.

    DYNAMIC ASSET MANAGEMENT SYSTEM AND METHODS FOR GENERATING INTERACTIVE SIMULATIONS REPRESENTING ASSETS BASED ON AUTOMATICALLY GENERATED ASSET RECORDS

    公开(公告)号:US20230128293A1

    公开(公告)日:2023-04-27

    申请号:US18146007

    申请日:2022-12-23

    Abstract: Methods and systems are provided for generating an interactive simulation representing one or more assets based on one or more asset records. Based on information from asset records stored at a database system of a cloud-based computing system, an asset simulator module, executed at a cloud-based computing system, can generate one or more simulated representations of the assets. A simulator application executed at the cloud-based computing system can augment the simulated representations of the assets with (at least) additional information from the asset records stored in the database system, and generate a user interface that presents an interactive simulation of the assets. The user interface can include the simulated representations of the assets with the additional information from the asset records stored in the database system.

    MANAGING SECURITY APPROVAL OF SERVICES DEPLOYED IN CLOUD PLATFORM USING AN EXTENSIBLE PLATFORM AS A SERVICE

    公开(公告)号:US20230123835A1

    公开(公告)日:2023-04-20

    申请号:US17589497

    申请日:2022-01-31

    Inventor: Mayank KUMAR

    Abstract: An extensible platform-as-a-service (PaaS) system is used during the software development lifecycle (SDLC) processes of an application. The system facilitates the process of getting security approval for the application. The system allows developers to use software bundles including software modules that are pre-approved. The system allows a developer to customize one or more software modules of the software bundle if necessary. The system monitors the development of the application to check if the developer customizes any software module to use a configuration that is not pre-approved. The system automatically generates a report noting the customization to the software module and requests the security team to review the modified configuration for security approval.

    Multi-hop knowledge graph reasoning with reward shaping

    公开(公告)号:US11631009B2

    公开(公告)日:2023-04-18

    申请号:US16051309

    申请日:2018-07-31

    Abstract: Approaches for multi-hop knowledge graph reasoning with reward shaping include a system and method of training a system to search relational paths in a knowledge graph. The method includes identifying, using an reasoning module, a plurality of first outgoing links from a current node in a knowledge graph, masking, using the reasoning module, one or more links from the plurality of first outgoing links to form a plurality of second outgoing links, rewarding the reasoning module with a reward of one when a node corresponding to an observed answer is reached, and rewarding the reasoning module with a reward identified by a reward shaping network when a node not corresponding to an observed answer is reached. In some embodiments, the reward shaping network is pre-trained.

    Rule-based scoring for APIs
    110.
    发明授权

    公开(公告)号:US11630664B2

    公开(公告)日:2023-04-18

    申请号:US17666737

    申请日:2022-02-08

    Abstract: Disclosed herein are system, method, and computer program product embodiments for facilitating access to and incorporation of APIs within an application during development, while ensuring that the API satisfies quality constraints. These quality constraints are controlled by the application of rules, which result in a maturity score for the API, in accordance with embodiments. These rules may be provided by a variety of sources for use in scoring the API at various stages. For example, a developer group may control access to developers within the group by applying a ruleset that restricts APIs for applications written by the developer group to a threshold score. This threshold score can limit or restrict APIs that are offered to a developer by an API exchange. Additionally, a ruleset may be applied to enforce a minimum score for submission of an API for inclusion within an API exchange.

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