Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine one or more candidate base stations for a handover procedure for the UE. The UE may transmit an indication of the one or more candidate base stations to a serving base station. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node in a radio access network (RAN) may transmit mobility history data for a user equipment (UE) to a second network node in a core network associated with the RAN. The first network node may receive a UE mobility prediction model that is based at least in part on the mobility history data from the second network node. Numerous other aspects are described.

Abstract: Functionalized benzocycloheptenes are one of the most important classes of bicyclic framework that have been investi-gated in different areas of biological activities. The claimed invention provides preparations of benzocycloheptene analogues, inhibitors of PI3K and MK2, pharmaceutical compositions containing them and their use in therapy. The compounds of Formula I, II, III, IV, V and VI may be used as anti type 2 diabetes, antipyretic, anti-inflammatory, antiepileptic, anticancer, antiulcer, CNS-stimulant, and CNS-depressant. These benzocycloheptene derivatives are useful in treatment of PI3K and MK2 related disorders.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for a UE capability for AI/ML. A UE may receive a request from a network to report a UE capability for at least one of an AI procedure or an ML procedure. The UE may transmit to the network, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for an ML model training procedure. A network entity may receive a trigger to activate an ML model training procedure based on at least one of an indication from an ML model repository or a protocol of the network entity. The network entity may transmit an ML model training request to activate the ML model training at one or more nodes. The one or more nodes may be associated with a RAN that may transmit, based on receiving the ML model training request, ML model training results indicative of a trained ML model. In aspects, an apparatus, such as a UE, may train the ML model based on an ML model training configuration received from the RAN, and transmit an ML model training report indicative of the trained ML model.

Abstract: A computing device may receive inputted text and perform, using one or more neural networks, on-device grammar checking of a sequence of words in the inputted text, including determining, using the one or more neural networks, a grammatically correct version of the sequence of words and determining that the sequence of words does not match the grammatically correct version of the sequence of words. The computing device may, in response to determining that the sequence of words does not match the grammatically correct version of the sequence of words, output, for display at a display device, at least a portion of the grammatically correct version of the sequence of words as a suggested replacement for at least a sequence of the sequence of words in the inputted text.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an update to a previously reported set of UE artificial intelligence (AI) or machine learning (ML) capabilities. The UE may receive a configuration associated with performance of UE AI or ML operations based at least in part on the update. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine one or more candidate base stations for a handover procedure for the UE. The UE may transmit an indication of the one or more candidate base stations to a serving base station. Numerous other aspects are provided.

Abstract: The technology addresses ambiguity in neural machine translation. An encoder module receives a given text exemplar and generates an encoded representation of it. A decoder module receives the encoded representation and a set of translation prefixes. The decoder module outputs an unbounded function corresponding to a set of tokens associated with each pair of the given text exemplar and translation prefix from the set of translation prefixes. Each token is assigned a probability between 0 and 1 in a vocabulary of the exemplar at each time step. A logits module generates, based on the unbounded function, a corresponding bounded conditional probability for each token, wherein the probabilities are not normalized over the vocabulary at each time step. A loss function module having a positive loss component and a scaled negative loss component identifies whether each target text of a set of target texts is a valid translation of the exemplar.

Abstract: Methods, systems, and devices for wireless communications are described. A wireless device may receive an indication of a configuration for sensing measurement parameter reporting from a base station. The sensing measurement parameter reporting may be for a sensing operation. The wireless device may perform the sensing operation and transmit an indication of a measurement parameter value to the base station. The sensing measurement parameter value may be associated with a location of the wireless device. In some examples, the wireless device may transmit the indication of the sensing measurement parameter value based on performing the sensing operation.

Abstract: One or more users in an observation platform environment is provided with a communications device capable of sending a user's voice and a secondary signal containing information regarding a location or relative proximity of the communications device. An observation platform is provided and has a communications system for receiving and sending data from and to at least one of the communications devices and a computer system configured to recognize the identity of a user of the users, based on signals from the communications device; capture, from the communications device, the secondary signal and a voice message of the user; derive statistical data about employee performance of the user; store the user identity, voice message, location, and statistical data in an employee performance library associated with the user; and generate at least one performance metric entry for the user, based on the performance information, into the employee performance library.

Abstract: In a method for managing and distributing content in a plurality of observation platforms, a message is generated with employment related content at a cloud based component of a content distribution manager in response to user interaction via an interface of the content distribution manager presented on a computer system. Responsive to the user interactions and to interactions of third party software via an application program interface with the cloud based component, delivery of the message is scheduled and a plurality of specified devices belonging to a specified class of employees are specified for delivery in a plurality of observation platforms at a designated time and location via the cloud based component. The message is delivered and the delivery and response to the message are measured to the plurality of observation platforms which relay the message to the plurality of specified devices at the designated time and the designated location.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit capability information that indicates support for one or more model combinations of machine learning (ML) models, wherein the capability information further indicates one or more performance parameters of an ML model of the ML models with respect to a model combination of the one or more model combinations that includes the ML model. The UE may receive one or more indications to use one or more of the ML models based at least in part on the capability information. Numerous other aspects are described.

Abstract: A computer mediated communication system includes a plurality of communication devices, a wireless transceiver, a computer system configured to wirelessly communicate with the communication devices via the wireless transceiver and mediate communications among the communication devices. The computer system a memory coupled with a processor.

Abstract: Methods and systems for detecting threats using threat signatures loaded in a computing device.

Abstract: The present invention relates to a low dose topical composition comprising triamcinolone acetonide or salt thereof in an amount of less than 250 mcg/gm, its process of preparation and its use for the treating/preventing of various types of skin diseases, preferably atopic dermatitis in infants, children, adults and elderly patients.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a master node associated with a primary cell, a configuration for a conditional procedure for adding or changing a primary secondary cell (PSCell) associated with a secondary node. The UE may also receive, from the master node, a configuration for a handover procedure for the primary cell. The UE may transmit a report that includes information related to the conditional PSCell procedure, information related to the primary secondary cell, or both, based on a triggering order between the conditional PSCell procedure and the handover procedure.

Abstract: Techniques for utilizing a cloud service to compute an end-to-end SLA-aware path using dynamic software-defined cloud interconnect (SDCI) tunnels between a user device and an access point-of-presence (POP) node and inter-POP tunnels of the SDCI. The cloud service may include a performance aware path instantiation (PAPI) component including a POP database for storing performance metrics associated with the POPs of the SDCI, an enterprise policy database for storing user specific policies, and/or a path computation component. The path computation component may compute the path, based on the user specific policies, performance metrics associated with the POP nodes, and/or real-time contextual data associated with the user device and/or destination device. The path may include a first tunnel between the user device and the most optimal access POP node of the SDCI and a second tunnel between the access POP node, through the internal POP nodes, and to the destination device.

Abstract: Disclosed are systems and techniques for wireless communications. For instance, a network entity can determine a first data heterogeneity level associated with input data for training a machine learning model. In some cases, the network entity can determine, based on the first data heterogeneity level, a first data aggregation period for training the machine learning model. In some aspects, the network entity may obtain a first set of updated model parameters from a first client device and a second set of updated model parameters from a second client device, wherein the first set of updated model parameters and the second set of updated model parameters are based on the first data aggregation period. In some examples, the network entity can combine the first set of updated model parameters and the second set of updated model parameters to yield a first combined set of updated model parameters.

Abstract: The present disclosure relates generally to conformation-specific antibodies that can bind to and neutralize the activity of phosphorylated-Threonine 231-tau protein (pT231-tau). The antibodies of the present technology are useful in methods for treating a neurological disorder associated with elevated cis-pT231-tau protein expression in a subject in need thereof.