Abstract: The present application is directed towards a new system for performing FHE and includes a method, system, program and storage medium configured for generating keys for fully homomorphic encryption, wherein generating the keys comprises: obtaining a first set of numbers, wherein the first set of numbers is a set of pairwise coprime numbers P1, . . . , Pk+1; obtaining a second set of prime numbers r1, r2, . . . , rk+1; obtaining a third set of numbers, wherein the third set of numbers is a set of random or pseudo random numbers s1, . . . , sn; calculating a secret key, sk, based on the first set of numbers, the second set of numbers, and third set of numbers; and calculating a public parameter, q, based on the first set of numbers and the second set of numbers.

Abstract: Methods, systems and architectures for video and/or audio processing and distribution are described. More particularly, a just in time transcoder/transcoding (JITT) is employed. If a matching optimal asset segment with calculated optimal asset attributes requested by a client device is not stored in a server, the server is configured to invoke the just in time transcoder (JITT) to produce the matching optimal asset segment by transcoding from one or more assets stored in an asset storage device to fulfill the request of client device.

Abstract: Systems and techniques are provided for generating depth information. For example, a process can include obtaining a first feature volume including visual features corresponding to each respective frame included in a first set of frames. A first query generator network can generate reconstruction features associated with a reconstructed feature volume corresponding to the first feature volume. Based on the first feature volume, a second query generator network can generate motion features associated with predicted future motion corresponding to the first feature volume. An initial depth prediction can be generated for each respective frame based on cross-attention between features of a depth prediction decoder, the reconstruction features, and the motion features. A refined depth prediction can be generated for each respective based on cross-attention between the initial depth prediction, the reconstruction features, and the motion features.

Abstract: The present disclosure provides a textile coating composition comprising a primer bonding to at least one surface of a textile and a polymer brush bonding to the primer. The primer is of general formula (I) and the polymer brush is of general formula (II). A coated textile comprising a textile coated with the textile coating composition and a method of forming the coated textile are also provided.

Abstract: Some embodiments are directed to a computer implemented system and method to determine relationships between data elements using a knowledge graph are described. The method comprises establishing a knowledge graph having graph elements, associating weights with data elements and determining at least some of these weights to be modifiable weights. Training data is used to determine the relationships between data elements in the knowledge graph by calculating the strength of the relationship. The calculated relationship strength values are compared to previously established relationship strength values, and one or more modifiable weights are modified to reduce the error between the calculated and established relationship strength values. These steps are repeated until a matching criterion is reached.

Abstract: The present disclosure relates to machine learning (ML) models, and more particularly to novel techniques for computing performance metrics for Multioutput-Multilabel ML models. Novel techniques are described for computing the performance metrics in a parallel and distributed without having to store the entire dataset for which metrics are to be computed in the memory of a data processing system. Novel data structures are provided for performing the computations.

Abstract: Systems and methods are described for operating a group watching session. In particular, group communications for a group watching session displaying a media content item to multiple users is initiated, one or more communication clusters for the group communication is generated, a user preference of a first user of the multiple users participating in the group communication is determined, and, based on the user preference, the first user is assigned to a first communication cluster of the one or more communication clusters for communication with another of the multiple users.

Abstract: Disclosed are systems and techniques for wireless communications. For example, a wireless communication device can receive, from a network device, a signal indicating a plurality of slots of time within a subevent interval for transmission of data, wherein the subevent interval is associated with a group of wireless communication devices that includes the wireless communication device. The wireless communication device can transmit one or more data packets within the plurality of slots of time.

Abstract: An industrial technical support system acts as an interactive assistant that leverages generative artificial intelligence (AI) techniques to suggest solutions to industrial alarm conditions or other performance problems based on earlier documented solutions, thereby expediting the process of finding alarm resolutions. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for organization of digital media in which a digital media gallery is organized based on underlying events or occasions by leveraging content tags associated with media. Content tags and their corresponding confidence scores for a set of media are compared with correlation scores of content tags with certain event types. Upon receipt of a set of media, candidate event types may be determined based on content tags associated with the set of media and relevant tags for different event types. The candidate event types are scored based on the confidence scores and the correlations scores for each candidate event type. The highest scoring candidate event type may be presented to the user as the event type for the set of media.

Abstract: The present invention relates to a simple, convenient, user-friendly, ready to administer pre-filled syringe injection device, for delivery of medication composition used for the prophylaxis and treatment of vitamin K deficiency bleeding in the neonates and other age groups.

Abstract: The present invention relates to a polyethylene composition comprising a base resin which comprises (A) a first ethylene homo- or copolymer fraction, and (B) a second ethylene copolymer fraction, wherein fraction (A) has a lower molecular weight than fraction (B), fraction (A) is present in an amount of 45.0 to 55.0 wt. %, preferably 46.0 to 53.0 wt. %, more preferably 46.5 to 52.0 wt. %, based on the total weight of the base resin, fraction (B) is present in an amount of 55.0 to 45.0 wt. %, preferably 54.0 to 47.0 wt. %, more preferably 53.5 to 48.0 wt. %, based on the total weight of the base resin, the base resin has a density of 945 kg/m3 to 958 kg/m3, more preferably of 947 to 956 kg/m3, and most preferably of 948 kg/m3 to 954 kg/m3, the polyethylene composition has a melt flow rate MFR5 of 0.15 to 0.30 g/10 min, preferably of 0.20 to 0.29 g/10 min, and still more preferably of 0.22 to 0.

Abstract: A fluid monitoring system for monitoring a concentration of nanoparticle additives in wellbore treatment fluid using X-ray fluorescence (XRF) can include a preparation unit and an analysis unit. The preparation unit can generate a representative sample of the wellbore treatment fluid by performing a separation process with respect to a sample of the treatment fluid. The analysis unit can chemically analyze the subset of the treatment fluid sample using XRF to generate radiation intensity data of the representative sample. Based on the radiation intensity data, the fluid monitoring system can determine that the concentration of the nanoparticle additives is outside of a predefined range. In response to determining that the concentration of the nanoparticle additives in the representative sample is outside of the predefined range, the fluid monitoring system can perform a mitigation operation to modify the concentration of the plurality of nanoparticle additives to be within the predefined range.

Abstract: Methods, systems, and devices for wireless communications are described. A first wireless device may be configured to communicate signaling with a second wireless device, an additional wireless device, or both, and perform, based on the signaling, one or more inferences using a machine learning model. The first wireless device may transmit, to the second wireless device, an indication that the machine learning model was applicable for performing the one or more inferences, and receive, from the second wireless device, control signaling indicating that the machine learning model is applicable for communications that are associated with a first set of conditions associated with the communication of the signaling, where the control signaling indicates a model identifier (ID) associated with the machine learning model, that the first set of conditions is associated with the machine learning model, or both.

Abstract: A method of immunizing against COVID-19 by administering a recombinant SARS-CoV2 protein-based vaccine, developed by either embedding the epitopes/domains, or chemically attaching, to an already established vaccine candidate, e.g., a detoxified recombinant tetanus neurotoxin (DrTeNT). The developed vaccine will have three novel contributions compared to the present vaccine technology: a) providing a novel and very effective vaccine platform; b) priming with DrTeNT will prepare the host immune system for better response; and c) oral delivery of the vaccine candidate with a group of neurotoxin binding proteins (NAPs) from Clostridium sp. A Detoxified recombinant tetanus neurotoxin (DrTeNT) is prepared by mutation of the active site amino acid residues is an effective vaccine candidate, and is used for embedding epitopes of SARS-CoV-2 virus protein for vaccination against Covid-19. DrTeNT is a risk-free vaccine, free of formalin or any other chemical adjuvants.

Abstract: Embodiments of the disclosure provide for predicting collisions between vehicles and environment objects based at least in part on user input from a computing entity. Some embodiments receive, at a cloud computing environment, a user input from a computing entity, where the user input comprises an approximate location of an environment object. Some embodiments generate, using a machine learning model, a collision prediction involving the environment object and a vehicle based at least in part on the approximate location of the environment object and a trusted location of the vehicle. Some embodiments generate traffic data based at least in part on the collision prediction. Some embodiments provide a notification indicative of the traffic data to the vehicle and the computing entity.

Abstract: Systems, methods and products for synchronization of content and metadata where the content and metadata are shared from a source repository to a target repository. One embodiment of a repository connector system utilizes a monolithic robotic server for scheduled synchronization and a second monolithic manual server for processing manual synchronization requests. A metadata server in the connector system enables sharing and synchronization of mapped metadata between content objects in the source and target repositories. A notification server is provided in the connector system to track notifications of changes to shared content in the target repository, and to replicate these notifications in a local database that is accessible by the synchronization servers to identify changes to the content in the second repository. Each of the servers is coupled to a service registry in the connector system to enable discovery and interaction between the connector system components.

Abstract: The embodiments of the present invention disclose a conjugate compound of formula X-J-MAA, wherein X is a diagnostic or therapeutic radioisotope; J is an optional chelating agent; and MAA is macroaggregated albumin particles. The invention also discloses sterile and stable ready to use or reconstituted radiopharmaceutical composition of X-J-MAA and manufacturing process thereof. The prepared radiopharmaceutical compositions exhibit desirable technical attributes like stability, radiochemical purity, less impurities, pH, better bio-distribution and desirable average particle size for further administration to patients for therapeutic and diagnostic use.

Abstract: A computer-implemented method for controlling an autonomous machine includes processing sensor data streamed via a plurality of calibrated sensors by a plurality of perception modules to extract perception information from the sensor data in real time. The extracted real time perception information from the plurality of perception modules is fused by a context awareness module to create a blackboard image, which is a representation of an operating environment of the autonomous machine derived from fusion of the extracted perception information using a controlled semantic, defining a context of the autonomous machine. A stream of blackboard images, representing a time evolving context of the autonomous machine, is processed by an action evaluation module, using a control policy, to output a control action to be executed by the autonomous machine. The control policy includes a learned mapping of context to control action represented by blackboard images created using the controlled semantic.

Abstract: Disclosed are various embodiments for providing split-tunneled network connectivity on a per-application basis. A DNS query is received from a locally hosted DNS resolver. A first recursive DNS query is sent to an external DNS server and a second recursive DNS query is sent to an internal DNS server. A first recursive DNS response is then received from the external DNS server and a second recursive DNS response is received from the external DNS server. A response is then provided to the DNS query.