Abstract: A method performed by a processing system including at least one processor includes collecting a set of data from a plurality of sensors that is monitoring a system, wherein the plurality of sensors includes sensors of a plurality of different modalities, detecting an instance of out-of-distribution data in the set of data by providing the set of data as an input to a machine learning model that generates as an output an indicator that the instance of out-of-distribution data is out-of-distribution with respect to the set of data, identifying a root cause for the instance of out-of-distribution data, and initiating an action to remediate the root cause of the instance of out-of-distribution data.

Abstract: The present disclosure relates to an electronic device, a method, and a storage medium for a wireless communication system. Various embodiments for setting guard periods for downlink-to-uplink switching are described. An embodiment relates to an electronic device for a base station used in a TDD communication system, and the electronic device comprises a processing circuit. The processing circuit is configured to: set a first guard period for downlink-to-uplink switching for a first terminal device in a first cell; and set a second guard period for downlink-to-uplink switching for a second terminal device in the first cell, wherein the second guard period for downlink-to-uplink switching is different from the first guard period for downlink-to-uplink switching.

Abstract: In one example, a method performed by a processing system including at least one processor includes establishing a communication group including at least three users of an extended reality environment as members, tracking locations and directional positions of the members of the communication group within the extended reality environment and within physical environments of the members, determining that a second user of the at least three users is an intended recipient of a first utterance made by a first user of the at least three users, and presenting the first utterance to the second user, where a directionality associated with a presentation of the first utterance is based on a location and a directional position of the first user relative to the second user, and presenting a spatial awareness warning to the second user, based on the location and the directional position of the second user.

Abstract: Aspects of the subject disclosure may include, for example, a device, having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: collecting data traffic of one or more network devices of a user, wherein the data traffic is associated with multiple channels of interactions; building a channel-specific user signature and a cross-channel user signature of normal usage for the user based on the data traffic collected; detecting a change in a characteristic of the data traffic, wherein the change indicates fraudulent activity based on the channel-specific user signature and the cross-channel user signature; and issuing an alert of the fraudulent activity based on the change. Other embodiments are disclosed.

Abstract: A system for suppressing inrush currents is described. The system may include a positive temperature coefficient (NTC) thermistor and a positive temperature coefficient (PTC) thermistor arranged in series between a power source and a battery system to be charged. At a low temperature, while the PTC thermistor provides only minimal resistance to minimize an inrush current, the NTC thermistor provides increased resistance. As the temperature increases, the resistance provided by the PTC thermistor increases as the resistance from the NTC thermistor decreases. The system may be used in conjunction with a battery charging system has at least one current pathway from the power source to the battery system.

Abstract: The present disclosure relates to electronic device, communication method and computer program product in a wireless communication system. An electronic device on user side is provided, comprising a processing circuitry configured to receive a configuration on a plurality of timing advances (TAs) associated with a plurality of transmit and receive points (TRPs), wherein the plurality of TAs have different values; and transmit uplink transmission frames to the plurality of TRPs simultaneously, wherein the uplink transmission frame transmitted to each of the TRPs is applied with a TA associated with the TRP.

Abstract: Aspects of the subject disclosure may include, for example, a system or method that determines, based on consumption data and location information, groups of access portals, where the consumption data and the location information correspond to a time period in which the access portals are used to access a service using an account. The groups can be adjusted according to an intended benefit unit for the service and a sharing structure can be determined including benefit unit partitions for the account based on the adjusting. Factors can be determined, based on the benefit unit partitions, that are indicative of account sharing, as well as weights for the factors by applying a learning model to the consumption data. An intervention strategy can be selected from a group of intervention strategies according to the factors and the weights for the factors. Other embodiments are disclosed.

Abstract: In one example, a method performed by a processing system including at least one processor includes detecting a need for assisted recall relating to an event in which a user was involved at a time in the past, identifying an instance of egocentric media stored in a library of egocentric media, wherein the instance of egocentric media matches the event in which the user was involved, modifying the instance of egocentric media to assist the user in recalling the event in which the user was involved, and presenting the instance of the egocentric media, as modified, to a user endpoint device of the user.

Abstract: Aspects of the subject disclosure may include, for example, a system or method that determines, based on consumption data and location information, groups of access portals, where the consumption data and the location information correspond to a time period in which the access portals are used to access a service using an account. The groups can be adjusted according to an intended benefit unit for the service and a sharing structure can be determined including benefit unit partitions for the account based on the adjusting. Factors can be determined, based on the benefit unit partitions, that are indicative of account sharing, as well as weights for the factors by applying a learning model to the consumption data. An intervention strategy can be selected from a group of intervention strategies according to the factors and the weights for the factors. Other embodiments are disclosed.

Abstract: An electronic device and communication method are disclosed. The electronic device comprises a processing circuit configured to perform a pre-processing operation on a first one-dimensional sequence of modulation symbols, the pre-processing operation including: performing a dimension-increasing conversion to convert the first one-dimensional sequence of modulation symbols into a first multi-dimensional modulation symbol block; transforming the first multi-dimensional modulation symbol block into a second multi-dimensional modulation symbol block with a first transformation, wherein the first transformation couples each symbol in the first multi-dimensional modulation symbol block with each other; and performing a dimension-decreasing conversion to convert the second multi-dimensional modulation symbol block into a second one-dimensional sequence of modulation symbols, wherein the dimension-decreasing conversion is an inverse process of the dimension-increasing conversion.

Abstract: Transfer knowledge from auxiliary data for more inclusive machine learning models is provided. A method can include generating a common feature space comprising first data features, wherein the first data features are present in training data used to train a first machine learning model, and wherein the first data features are present in auxiliary data that are independent of the training data; generating a combined learned feature representation, the combined learned feature representation being representative of the first data features of the common feature space and second data features that are unique to the training data; and training a second machine learning model based on the combined learned feature representation.

Abstract: Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.

Abstract: Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks.

Abstract: Extended reality augmentation of situational navigation (e.g., using a computerized tool) is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: based on a route of a vehicle, determining a navigational instruction to be displayed via an augmented reality interface of the vehicle, and displaying the navigational instruction via the augmented reality interface, wherein displaying the navigational instruction comprises displaying a virtual leading vehicle to be followed by the vehicle.

Abstract: Virtual assistants (VAs) can be managed in interactions with users, other VAs, and devices, including in connection with medical care associated with users. A VA management component (VAMC) can analyze medical information and other information relating to users, including information obtained by a VA(s) from a user(s). Based on the analysis, VAMC can determine a model relating to medical care associated with users. VAMC can determine a proposed action relating to the health or medical care associated with a user based on the model. A VA can present action information relating to the proposed action, or other information relating to health or medical care associated with the user, to the user or a device associated with the user. VAMC can determine drug-drug or drug-food interactions or side effects, and the VA can notify the user regarding the drug-drug or drug-food interactions or side effects.

Abstract: In one example, a method performed by a processing system including at least one processor includes establishing a communication group including at least three users of an extended reality environment as members, tracking locations and directional positions of the members of the communication group within the extended reality environment and within physical environments of the members, determining that a second user of the at least three users is an intended recipient of a first utterance made by a first user of the at least three users, and presenting the first utterance to the second user, where a directionality associated with a presentation of the first utterance is based on a location and a directional position of the first user relative to the second user.

Abstract: A system for suppressing inrush currents is described. The system may include a negative temperature coefficient (NTC) thermistor and a positive temperature coefficient (PTC) thermistor arranged in series between a power source and a battery system to be charged. At a low temperature, while the PTC thermistor provides only minimal resistance to minimize an inrush current, the NTC thermistor provides increased resistance. As the temperature increases, the resistance provided by the PTC thermistor increases as the resistance from the NTC thermistor decreases. The system may be used in conjunction with a battery charging system has at least one current pathway from the power source to the battery system.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a list of a plurality of communication channels, each communication channel being associated with at least one respective feature of a plurality of features; correlating each communication channel in the list with at least one respective user response of a plurality of user responses; receiving an identification of a new communication channel that does not exist in the list, the new communication channel being associated with at least one feature of the plurality of features; determining, based upon the at least one feature that is associated with the new communication channel, with which one or more of the plurality of communication channels in the list the new communication channel is similar, resulting in a determination; and assigning, based upon the determination, at least one of the plurality of user responses to the new communication channel. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, analyzing, by a processing system, a customer message to determine a customer care issue and a customer sentiment, and generating a response to engage with the customer based on the customer sentiment; the response includes the information to address the customer care issue. The system also delivers the response to the equipment of the customer; monitors for a customer reaction to the delivered response to determine a change in the customer sentiment; and generates an additional response to further engage with the customer based on the change in the customer sentiment. Other embodiments are disclosed.

Abstract: A method performed by a processing system including at least one processor includes identifying an insufficiency in a representation of a subpopulation in training data for a machine learning model, generating simulated data to mitigate the insufficiency in the representation, and training the machine learning model using an enhanced training data set that includes the training data and the simulated data to produce a trained machine learning model. In some examples, the generating and the training may be repeated in response to determining that an output of the trained machine learning model still reflects the insufficiency in the representation of the subpopulation or reflects an insufficiency in a representation of another subpopulation. In other examples, the simulated data may be stored for future reuse.