Abstract: Techniques for time-bound hyperparameter tuning are disclosed. The techniques enable the determination of optimized hyperparameters for a machine learning (ML) model given a specified time bound using a three-stage approach. A series of trials are executed, during each of which the ML model is trained using a distinct set of hyperparameters. In the first stage, a small number of trials are executed to initialize the algorithm. In the second and third stages, a certain number of trials are executed in each stage. The number of trials to run in each stage are determined using one or more computer-implemented techniques. The computer-implemented techniques can also be used to narrow the hyperparameter search space and the feature space. Following the third stage, a set of optimized hyperparameters is adopted based a predefined optimization criterion like minimization of an error function.

Abstract: A computing system obtains a first article about a first topic, where the first article references a plurality of entities including a person. The computing system identifies the person as a dominant entity of the first article. The computing system determines whether the first article expresses negative sentiment based upon content of the first article. In accordance with a determination that the first article does not express negative sentiment, the computing system retrieves a uniform resource locator (URL) of a webpage about a second topic that is of interest to the first person. Upon receiving a request for the first article from a computing device, the computing system causes the first article and a link to be concurrently displayed on a display, where the URL of the webpage is embedded in the link.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: A device including a memory and a processor. The processor receives electronic information. The processor analyzes the electronic information. The processor displays, based on analyzing the electronic information, the electronic information on a graphical user interface. The displayed electronic information is shown as a first electronic formation, and the graphical user interface is controlled by the processor. The device receives an electronic communication and changes the displayed electronic information to a second electronic formation displayed on the graphical user interface. The change from the first electronic formation to the second electronic formation occurs instantaneously.

Abstract: Disclosed embodiments relate to data management of entity pairs. Techniques can include receiving at least two sets of data and a data management task request with each including a set of entities. Techniques can determine a location of each entity in received data sets in a representative space by determining representative structure of the set of entities. Techniques can then for an entity, a set of representative entity pairs from each set of the at least two sets of data based on how close they are in the representative space. Technique can then analyze the set of representative entity pairs to identify most similar entity pairs include in a set of candidate pairs by determining closeness of location of entities in each entity pair in the representative space. Technique can then determine matched entity pairs of the candidate pairs using a first machine learning model is trained using the candidate pairs by applying labels, and utilizing the matched pairs to perform the requested data management task.

Abstract: A method can be performed by a browser. The method can include presenting at least a portion of a resource address; presenting a rendered webpage in a browser content window, the rendered webpage being associated with the resource address; presenting an annotation area, the annotation area being outside the browser content window; receiving, in association with a user account, an annotation in the annotation area; and storing the annotation in association with the user account and the resource address.

Abstract: Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set).

Abstract: A virtual whiteboard is modified responsive to editing commands. Each of the editing commands results in a respective state of the virtual whiteboard. At least some of the respective states are stored as whiteboard snapshots. A command to display one of the whiteboard snapshots is received. Based on the command, a user interface associated with the virtual whiteboard is updated according to the one of the whiteboard snapshots.

Abstract: The present disclosure relates to systems and methods for automatically identifying additional content for a webpage. The systems and methods may create a side pane placed next to a webpage to supplement the webpage in a browser. The side pane may provide additional information or additional content to help users consume the webpage. The additional content may provide webpage insights and help the users further explore the webpage.

Abstract: Method for learning synaptic weight values of a neural network, related data processing method, computer program, calculator and processing system The invention relates to a method for training synaptic weight values of at least one layer of an artificial neural network. The method is computer-implemented, and comprises training the weight values from training data, each weight value from said training being a quantized weight value belonging to a set of quantized values. The set of quantized values consists of values encoded with a predefined number B of bits, and with a quantization step P between two successive quantized values that satisfies: P = 1 ? 2 B - 1 2 ? where ?·? represents the integer part function; the quantized values also being included in a predefined interval chosen from the interval [?1?P; 1] and the interval [?1; 1].

Abstract: As described herein, a system, method, and computer program are provided for using a dynamic threshold mechanism that is utilizing a set of machine learning models to auto-complete user input fields. User access to a form having a plurality of user input fields is detected. One or more of the plurality of user input fields are auto-completed over a sequence of stages, utilizing at least one machine learning model.

Abstract: A method and a system for remotely controlling interface display, a device, and a storage medium. The method includes steps of: detecting a first operation based on a first display window displayed in a first device, where the first display window displays a display interface of a second device, and the first operation is used to indicate an operation of controlling the second device to perform an occlusion on an area to be occluded in the display interface of the second device; determining area information of the area based on the first operation; and sending an occlusion instruction to the second device based on the area information, where the occlusion instruction is used to instruct the second device to perform an occlusion processing on the area based on the area information.

Abstract: A method and a system include receiving indication of a user interaction within a pre-determined time period, determining that the user interaction is a contextual triggering event based on a plurality of triggering conditions, identifying a media content item associated with the contextual triggering event, generating a first user interface including a user-selectable element representing a content transmission proposal, in response to detecting a user selection of the user-selectable element, generating a second user interface, the second user interface including the media content item and a plurality of user-selectable entity icons.

Abstract: A method, apparatus, electronic device and computer-readable storage medium for task creation. The method includes: in response to a triggering operation of creating a first task for a single file message in a session, determining a first title name of the first task based on a file name of a file corresponding to the single file message; and creating the first task and filling the determined first title name in a title region of the first task.

Abstract: An image forming apparatus includes a processor configured to switch one or more addresses to be displayed on a screen displaying the one or more addresses among plural addresses used for a transmission function for transmitting information according to a change in coordinates of a moving object without touching the screen.

Abstract: A processing device includes: an entity pre-processing means for receiving a set of atoms, the atom indicating a combination of a predicate and an associative array of entities that are arguments of the predicate, and calculating for each of the entities an entity feature vector for each of the entities, the vector reflecting a correspondence between keys and the entity in the associative array; and a post-processing means for receiving a query indicating contents of processing, and executing the processing indicated by the query using the entity feature vector.

Abstract: A system to generate a graphical user interface to display a presentation of a set of shared user groups between users of a social networking service is described. Embodiments of the present disclosure relate generally to systems for: receiving an identification of a second user from a user account of a first user; identifying a user group that includes the first user and the second user in response to the identification of the second user from the user account of the first user; retrieving user identifiers of the first user and the second user, wherein the user identifiers may include graphical avatars; generating a group identifier based on the user identifiers; and causing display of a presentation of the user group at a client device.

Abstract: Appended information is accumulated for each block of a first document before revision. A second document, which is a revised version of the first document, is divided into blocks. Each of the blocks of the first document, from which the appended information is removed, is compared with the blocks of the second document. The blocks of the first document are associated with the blocks of the second document on a one-to-one basis. The appended information related to the blocks of the first document is added to the blocks of the second document.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for managing computing systems according to detect and correct configuration gaps with specific system requirements frameworks. Specifically, the disclosed system accesses a digital data repository to determine attribute values of data objects representing functions or infrastructure associated with handling target data for an entity. The disclosed system determines a digital representation of a system requirements framework that indicates controls associated with handling specific data types. Based on the attribute values and a gap rules set associated with the system requirements framework, the disclosed system determines configuration gaps to be addressed via control actions for installing controls in connection with various data assets or data processes.

Abstract: A method and a system for classifying one or more hyperlinks in a document are provided. The method includes identifying the one or more hyperlinks in the document based on an analysis of text strings of the document. The method further includes analyzing surrounding text strings around each of the one or more hyperlinks and classifying, based on the analysis of the surrounding text strings around each of the one or more hyperlinks, the one or more hyperlinks into at least one category among a plurality of predetermined categories.