Abstract: Methods, systems, and computer program products for electronic signature systems. Multiple components are operatively interconnected to carry out operations for securing e-signatures applied to content objects. A data processing system that interacts with user devices over a network that carries e-signature events raised by the user devices is configured to implement a content management system (CMS) that maintains a single CMS e-signature object within an object storage repository. The single CMS e-signature object is representative of multiple different versions or renditions of CMS objects. Upon an e-sign event, the data processing system modifies the single CMS e-signature object.

Abstract: Apparatus and methods are provided for a user equipment (UE) to communicate with a new radio (NR) wireless network in a standalone deployment. The UE camps on a first cell and determines that a first bandwidth (BW) of the first cell is greater than or equal to a threshold BW value. In response, when the UE is not configured for bandwidth part switching (BWPS), the UE determines whether a second cell is available that is intraband with and has a same priority as the first cell and that has a second BW that is less than the threshold BW value. When the second cell is not available, the UE searches for a next lower priority cell that has a third BW that is less than the threshold BW value.

Abstract: An apparatus configured to generate, for transmission to a wireless communication device via a short-range communication protocol, a request related to a short-range communication operation, select a randomized timeout period for the short-range communication operation and initiate a timer set to the randomized timeout period, wherein the wireless communication device is to respond to the request prior to expiration of the timer.

Abstract: Techniques for validating large amounts of sensitive data migrated across multiple platforms without revealing the content of the sensitive data are provided. For example, a processing device can transform data in a first data file stored on a first platform to common data formats. The processing device can generate a first set of hash values. The processing device can receive a second set of hash values for a second data file stored on a second platform. The processing device can compare the first set of hash values and the second set of hash values and cause the first data file or the second data file to be modified based on a difference between the sets of hash values.

Abstract: In some implementations, a device may receive information identifying a computing system for energy management, the computing system having a set of hardware components, a set of virtual machines, and a set of software entities. The device may generate a digital twin of the computing system for simulation of the set of hardware components, the set of virtual machines, and the set of software entities. The device may determine, using the digital twin of the computing system, a set of energy consumption metrics, for the computing system, associated with a set of candidate parameters. The device may generate, using a recommendation engine, one or more recommendations for the computing system based on the set of energy consumption metrics associated with the set of candidate parameters. The device may transmit information associated with identifying the one or more recommendations.

Abstract: A glass ribbon processing apparatus to produce a glass ribbon with variable thickness includes a first device that cools a first portion of a width of the glass ribbon at a different rate than a second portion of a width of the glass ribbon, wherein the first portion is thicker than the second portion.

Abstract: A method includes obtaining a plurality of training samples that each include a respective speech utterance and a respective textual utterance representing a transcription of the respective speech utterance. The method also includes fine-tuning, using quantization and sparsity aware training with native integer operations, a pre-trained automatic speech recognition (ASR) model on the plurality of training samples. Here, the pre-trained ASR model includes a plurality of weights and the fine-tuning includes pruning one or more weights of the plurality of weights using a sparsity mask and quantizing each weight of the plurality of weights based on an integer with a fixed-bit width. The method also includes providing the fine-tuned ASR model to a user device.

Abstract: Embodiments of a method for automatically generating, scheduling, posting, and recycling social media posts are disclosed, the method comprising: receiving instructions to publish social media posts on a plurality of social media platforms; for each social media platform in the plurality, generating, using an artificial intelligence (AI) engine, a first rule for content in the social media posts and a second rule for a publishing schedule; automatically generating, using the AI engine, a social media post according to the first rule and a publishing schedule for the generated social media post according to the second rule; publishing the social media post on the respective social media platform according to the respective publishing schedule; monitoring post insights on the published social media post; and retraining the AI engine with the post insights.

Abstract: A method for identifying fraudulent cryptographic currency transactions using a deep neural network includes: receiving, by a receiver of a processing server, a source dataset, the source dataset including labeled source data associated with a plurality of source features and being associated with a source domain; receiving, by the receiver of the processing server, a target dataset, the target dataset including unlabeled target data associated with a plurality of target features and being associated with a target domain; combining, by a processor of the processing server, at least a subset of the plurality of source features and at least a subset of the plurality of target features into a combined data layer; training, by the processor of the processing server, a deep neural network using a domain adaptation algorithm and the combined data layer to identify a set of final features.

Abstract: A method for multi-stage processing of user queries for enhanced information retrieval. The method includes generating self-complete derived queries from a search query. The method includes extracting query entities from each derived query and mapping the query entities with a plurality of electronic documents to identify a set of relevant electronic documents. The method includes sorting the derived queries based on the number of relevant electronic documents related to each derived query to obtain a sorted sequence of derived queries and searching a result for each derived query sequentially from the set of relevant electronic documents according to the sorted sequence of derived queries, and appending the result retrieved for one derived query with a consequent derived query to obtain a final search result. The method involves breakdown of a search query into derived queries and resolve each derived query separately and sequentially to reduce complexity and computation cost.

Abstract: The invention relates to method and system for classifying events (well control events) during drilling operations. The method includes determining drilling attributes corresponding to volve drilling data in a predefined format and associated with one or more wells; determining a correlation value between each two attributes of the drilling attributes associated with the volve drilling data; selecting a set of drilling attributes from the drilling attributes based the determined correlation value; generating a labelled dataset corresponding to the volve drilling data based on the set of drilling attributes by determining a value of one or more additional drilling attributes associated with the volve drilling data based on the set of drilling attributes; and training a supervised Machine Learning (ML) model based on the labelled dataset and real-time drilling data for classifying each of the one or more drillings events in one of a set of pre-defined categories.

Abstract: Systems and methods for optimizing database routing in accordance with embodiments of the invention are illustrated. One embodiment includes a tiered database. The tiered database includes a data warehouse used to store obtained data. The tiered database includes a relational layer that stores a copy of a subset of the obtained data within a certain period of recency. The tiered database includes a query planner. The query planner is configured to receive a new query and determine a query plan to respond to the query. The query planner is configured to compute, from a set of database metrics and the preliminary query plan, a storage access cost. The query planner is configured to route the query based on the storage access cost, wherein the query is routed: to the data warehouse when the storage access cost exceeds a predetermined threshold; and to the relational layer otherwise.

Abstract: A system and method for dynamically recommending set of potential courses of actions for a user within a search query are disclosed. The system receives search queries from a user and determines dialogue attributes and context variables based on these queries. It identifies query parameters and additional parameters, The system analyzes user preferences, and determines entities and variants based on the user's preferences and the conversation context. The system then determines the types of set of potential courses of actions to generate for the search queries. Further, the system retrieves set of potential courses of, associated applications, and integration parameters from databases based on the determined types. Using large language models (LLMs) in generative AI or conversation AI environments, the system generates responses and clickable elements corresponding to the search queries, incorporating the recommended set of potential courses of actions, applications, and deep integration parameters.

Abstract: Container devices and delivery systems for using the same are provided.

Abstract: A biopsy forceps includes an end effector with opposing first and second jaws coupled together and configured to move from an open configuration to a closed configuration. Each of the first jaw and the second jaw includes a plurality of teeth having a base. The bases of two adjacent teeth of the first jaw are spaced apart to form a first gap, and the bases of two adjacent teeth on the second jaw are spaced apart to form a second gap. The end effector in the closed configuration may define one or more windows between edges of the first and the second jaws. And, at least one of these windows may include at least a portion of one or both of the first and second gaps.

Abstract: A system and a method are disclosed for identifying a subjectively interesting moment in a transcript. In an embodiment, a device receives a transcription of a conversation, and identifies a participant of the conversation. The device accesses a machine learning model corresponding to the participant, and applies, as input to the machine learning model, the transcription. The device receives as output from the machine learning model a portion of the transcription having relevance to the participant, and generates for display, to the participant, information pertaining to the portion.

Abstract: In one embodiment, an apparatus comprises a memory comprising a group of memory cells coupled to a wordline; and a controller configured to skip programming of one or more pages of the group of memory cells responsive to a sequential write operation; and program the one or more pages of the group of memory cells responsive to one or more random write commands.

Abstract: An electronic device included a first energy storage device coupled to a second energy storage device by a conductor. A thermal mitigation circuit, or alternatively, one or more processors, determine whether to draw more current from the first energy storage device or the second energy storage device as a function of a geometric configuration of the electronic device and a support condition of the electronic device. Current can be drawn from the second energy storage device situated in the second device housing, for example, when the electronic device is hand supported by the first device housing unless secondary factors exist.

Abstract: The present invention provides a symbiotic combination of i) a probiotic micro-organism comprising of a Lactobacillus strain, and ii) a catechin component comprising EGCG that acts as a second generation symbiotic with synergistic effects in improving the immune response and antioxidant capacity during aging that may beneficially affect the health of elderly.

Abstract: In embodiments, given a surface that has domains on it and a first location, a second location is generated in the surface. The second location belongs in the same domains as the first location, and does not belong in the same domains as the second location. An advantage can be that, in embodiments, the second location can be used in lieu of the first location. A use case can be where it is desired to protect the privacy of location data of an entity, such as its address.