Abstract: A method for session termination includes receiving, by a script server from an operations support system (OSS), a request to terminate a session of at least one target device, the request being generated based on a selection of the at least one target device by a server device, executing, by the script server, a termination script to terminate the session of the at least one target device based on the request to terminate the session, receiving, by the script server, a response indicating a result of the termination script execution, and sending, by the script server to the OSS, the result of the termination script execution.

Abstract: A method for mixed precision quantization of an artificial intelligence (AI) model by an electronic device is included. The method includes performing, by the electronic device, perturbation in weights of each layer of a plurality of layers of the AI model for a pre-defined number of times, determining, by the electronic device, a change in an output of each layer of a plurality of layers of the AI model based on a perturbation in weights of each layer of the plurality of layers, determining, by the electronic device, a sensitivity metric for each layer of the plurality of layers of the AI model as a measure of the change in the output of each layer, assigning, by the electronic device, a bit-precision to each layer of the plurality of layers of the AI model based on the determined sensitivity metric, and performing, by the electronic device, the mixed precision quantization of the AI model using the bit-precision assigned to each layer of the plurality of layers of the AI model.

Abstract: A method for session termination includes receiving, by a script server from an operations support system (OSS), a request to terminate a session of at least one target device, the request being generated based on a selection of the at least one target device by a server device, executing, by the script server, a termination script to terminate the session of the at least one target device based on the request to terminate the session, receiving, by the script server, a response indicating a result of the termination script execution, and sending, by the script server to the OSS, the result of the termination script execution.

Abstract: Provided are systems and methods for real-time identification of fraudulent users of an online resource such as a website or mobile application, including new user accounts that have yet to transact on the online resource. In one example, a method may include receiving, by a host platform of an online resource, a request from a user device associated with a user account of the online resource, creating, by the host platform, a device fingerprint of the user device based on a plurality of device attributes included in the request, determining, by the host platform, whether the device fingerprint matches a previously banned device fingerprint stored in a database by the online resource, and in response to a determination that the device fingerprint has been banned previously, automatically restricting, by the host platform, an ability of the user account with the online resource.

Abstract: A server includes at least one memory configured to store computer program code, at least one processor configured to execute the computer program code to display, in a user interface, a plurality of network elements connected to the server. Additionally, the at least one processor is configured to connect to a network element selected by a client device from the plurality of network elements and display, in the user interface, a command line interface of the selected network element. Further, the at least one processor is further configured to execute commands input into the first command line interface by the client device on the selected network element.

Abstract: A key-value database may maintain a collection of data in which the value components are serialized object graphs. The object graphs may be deserialized and converted to a directed graph. Each node may represent an entity and each edge a relationship between entities. Instructions associated with a table may indicate criteria for identifying corresponding entities in a directed graph. A row of the table may be created for each entity having a unique permutation of identifying properties. Column values may be obtained using instructions for accessing entity properties and mapping from the properties to column values.

Abstract: Machine learning techniques for shaping downstream content traffic through hashtag suggestion during content creation are provided. In one technique, content item interaction data is stored that indicates, for each of multiple content items that is associated with one or more hashtags, whether a viewer interacted with the content item. Based on the content item interaction data, multiple training instances are generated, each corresponding to a different hashtag. One or more machine learning techniques are used to train a machine-learned downstream interaction model based on the training instances. Based on a particular content item, multiple candidate hashtags are identified. The machine-learned downstream interaction model is used to generate a score for each of the candidate hashtags. A subset of the candidate hashtags is selected based on the scores generated. The subset of the candidate hashtags are caused to be presented on a computing device.

Abstract: In an embodiment, the disclosed technologies include a method for generating a typeahead suggestion list for an input field of a search interface, including receiving, as digital input, a query string that has been extracted from the input field and context data that comprises one or more of: a search term that has been extracted from another input field of the search interface or a search criterion that has been extracted from a member profile that is associated with the query string via an online connection network; executing, on digital data extracted from the online connection network, one or more machine-readable queries that comprise one or more of the query string and the context data, to produce a set of candidate entities; outputting at least part of the set of candidate entities as a suggestion list that the search interface may display in association with the input field to facilitate query formulation via the input field.

Abstract: The disclosed embodiments provide a system for identifying fake positions in member profiles. During operation, the system determines features and labels for real positions and fake positions listed in member profiles with an online network, wherein the features indicate inclusion of one or more attributes in the member profiles. Next, the system inputs the features and the labels as training data for a machine learning model. The system then applies the machine learning model to additional features for additional members with the online network to produce scores representing likelihoods that positions listed in additional member profiles for the additional members are fake. Finally, the system stores predictions represented by the scores in association with the positions.

Abstract: Methods, systems, and computer programs are presented for determining the employment type of online-service members and the generation of employment reports. One method includes training a machine learning program (MLP) for categorizing employment type, for title and company, as field or full-time-corporate. The full-time-corporate category is for full-time corporate employees. For each employee title in a first company, the method includes accessing data for members of an online service having the title and employed by the first company, and determining, by the trained MLP, the employment type for the title and the first company based on the accessed data. Further, the method includes operations for providing a user interface for generating an employment report for the first company, the user interface including one or more options for filtering data based on the employment type, and for presenting the employment report on the user interface.

Abstract: The present invention relates to a method of cloning stable stress tolerant superoxide dismutase from diverse plant species using universal primers.

Abstract: The present invention relates to a method of cloning stable stress tolerant superoxide dismutase from diverse plant species using universal primers.