Abstract: Systems and methods for performing a medical imaging analysis task are provided. 1) One or more input medical images each in a domain and 2) a domain code for each of the one or more input medical images identifying its domain are received. Each particular input medical image of the one or more input medical images is downsampled using a dynamic convolutional layer based on the domain code for the particular input medical image. A first set of features is extracted from each particular downsampled input medical image of the one or more downsampled input medical images using the dynamic convolutional layer based on the domain code for the particular downsampled input medical image. The first set of features is encoded into a second set of features using a machine learning based encoder. A medical imaging analysis task is performed based on the second set of features using a machine learning based decoder. Results of the medical imaging analysis task are output.

Abstract: The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from an animal monitoring device including three or more load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually sample loads at from 2.5 Hz to 110 Hz. An animal behavior property associated with the animal can be recognized if it is determined based on load data that the interaction with the contained litter was due to the animal interaction with the contained litter. The animal behavior property can be classified into an animal classified event using a machine learning classifier.

Abstract: The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from an animal monitoring device including three or more load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually sample loads at from 2.5 Hz to 110 Hz. An animal behavior property associated with the animal can be recognized if it is determined based on load data that the interaction with the contained litter was due to the animal interaction with the contained litter. The animal behavior property can be classified into an animal classified event using a machine learning classifier.

Abstract: Systems and methods for monitoring soiling of one or more photovoltaic (PV) modules. A sensor is provided that includes a measure chamber and a clean chamber. Cells in the measure chamber allow a measurement to be taken that accounts for soiling. Reference cells in the clean chamber can be exposed to incident light outside of the clean chamber. Measurements taken when the reference cells are outside of the clean chamber allow a clean output to be determined that is not subject to soiling. Comparing the output of the reference cell and the cells in the measure chamber allows a soiling loss to be determined.

Abstract: This disclosure relates to method and system for generating near real-time responses to user queries. The method may include generating, via a Large Language Model (LLM), a set of predicted queries and a corresponding set of predicted responses, based on historical data or a real-time input user query associated with a user account, using a customized knowledge graph; creating a set of predicted query embeddings and a set of predicted response embeddings, using an embedding model; comparing a subsequently received real-time input user query with each of the set of predicted queries through a similarity analysis; and upon successful comparison of at least one of the set of predicted queries, generating in near real-time, via the LLM, a response to the real-time input user query based on the set of predicted response embeddings of each of corresponding predicted responses using the customized knowledge graph.

Abstract: An apparatus of a user equipment (UE) configured to transmit a radio resource control (RRC) resume request to a base station using a small data transmission (SDT) preamble to initiate an SDT procedure at the UE. The UE can monitor, during the SDT procedure, a paging occasion (PO) associated with a paging early indicator (PEI). A UE can identify a plurality of fifth generation system temporary mobile subscriber identities (5G-S-TMSI) associated with the PO to enable the UE to determine when there is a matching 5G-S-TMSI of the plurality of 5G-S-TMSI that matches a 5G-S-TMSI of the UE during the SDT procedure.

Abstract: The disclosure is directed at a method of treating hard to digest food waste by treating the food waste with a thermal-alkaline hydrolysis process (THP). The THP includes treating the food waste with heat, alkali, and shear for a preselected time to produce a biodegradable feedstock for improved anaerobic digestion.

Abstract: Some aspects of this disclosure relate to apparatuses and methods for implementing time domain bandwidth part (TD-BWP) switch for carrier aggregation (CA) for balancing between the UE power consumption and a latency of the UE. For example, the UE includes one or more transceivers configured to wirelessly communicate with a base station on a plurality of component carriers (CCs) in a carrier aggregated (CA) network. The UE also includes a processor communicatively coupled to the one or more transceivers. The processor is configured to perform a time domain bandwidth part (TD-BWP) switch on a first CC of the plurality of CCs when the UE and the base station are communicating on the first CC. The processor is further configured to perform the TD-BWP switch on a second CC of the plurality of CCs when the UE and the base station are communicating on the second CC.

Abstract: Systems and methods for enhancing user experience in multiple timing advance group (TAG) configurations are disclosed herein. In various embodiments, a user equipment (UE) configured with a primary component carrier (PCC) of a first TAG and a secondary component carrier (SCC) of a second TAG may be configured to trigger a second random access channel (RACH) procedure on the SCC for uplink (UL) synchronization for the SCC after a failure of a first such RACH procedure. The UE may trigger the second RACH procedure upon identifying any of one or more of: that a measurement report reports an reference signal received power (RSRP) of the SCC; that a channel state information (CSI) report reports a first CSI component of the SCC that is above a threshold, and/or that a downlink (DL) throughput through the SCC has improved corresponding to a first time period.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first configuration information associated with a communications network, wherein the first configuration information is obtained responsive to a first provisioning request; applying the first configuration information to an AI process that utilizes an AI model that had been trained using first training data, wherein the AI process determines at least one first potential adverse effect that would be caused by implementing the first configuration information, and wherein the AI process further determines a first risk level associated with the at least one first potential adverse effect; receiving from the AI process the first risk level associated with the at least one first potential adverse effect; and outputting the first risk level. Other embodiments are disclosed.

Abstract: Some aspects relate to apparatuses and methods for implementing mechanisms for intelligent power saving in a wireless communication system. For example, a user equipment (UE) is configured to determine whether a movement state associated with the UE satisfies one or more movement conditions. The UE can further determine operational information associated with the UE, in response to the determination that the movement state associated with the UE satisfies the one or more movement conditions. The operational information can include location information, power level information, or background process information. The UE can further cease, at least based on the operational information and one or more operational conditions being satisfied, a signal measurement associated with a neighbor cell.

Abstract: Aspects of the subject disclosure may include, for example, generating network configuration data for a network device according to device information of a vendor; providing the network configuration data to an Artificial Intelligence (AI) analysis platform that applies an AI model to the network configuration data based at least in part on topology data resulting in a configuration analysis, wherein the configuration analysis evaluates the network configuration data and generates at least one of rating information, adjustment information or a combination thereof. The rating information can include a security rating, a risk rating and/or an efficiency rating. The adjustment information can include a recommendation for changing at least a portion of the network configuration data for the network device.

Abstract: Methods, systems, apparatuses, and computer program products are described. A system may obtain a set of metadata associated with multiple entities of a datastore, the multiple entities including at least two different data types. The system may augment, using a generative artificial intelligence (AI) model, the set of metadata resulting in a set of augmented metadata for the multiple entities of the datastore. The system may generate, using the set of augmented metadata, a set of entity objects for the multiple entities of the datastore and in accordance with a reference schema. The system may identify, using the generative AI model and the set of entity objects as inputs into the generative AI model, first relationships between two or more first entities of the multiple entities of the datastore. Based on the identified relationships and a reference schema relationship model, the system may generate a schema relationship model.

Abstract: Systems and methods are provided for retrieving metadata of one or more existing database entities. Vector embeddings for the one or more existing database entities may be generated. Data model attributes for a new database entity may be received, and new input metadata may be generated based on the data model attributes. A new vector embedding may be based on the generated new input metadata. One or more similarities may be determined between the generated new vector embedding and at least one of the generated vector embeddings of the one or more existing database entities. A recommendation of whether at least one of the generated vector embeddings that is determined to be similar to the new vector embedding is to be added to or modified based on the generated new input metadata may be received.

Abstract: A user equipment (UE) using wake-up signal (WUS) with carrier aggregation, dual connectivity, and/or multi-SIM operations is provided. The UE operates by determining whether the UE is configured to operate using a first connection and a second connection simultaneously. Based on a determination that the UE is configured to operate using the first connection and the second connection simultaneously, the UE determines whether a wake up signal (WUS) indicator corresponding to a first discontinuous reception (DRX) cycle is received. The UE then determines whether a wake-up trigger condition is met, and based on a determination that the wake-up trigger condition is met, the UE determines whether it is configured with a power-save wake up (ps-WakeUp) parameter.

Abstract: Aspects of the subject disclosure may include, for example, obtaining code data from a plurality of repositories that each include a particular domain-related code (e.g., network domain-related code); generating a NLP model based on the code data; receiving input (e.g., via an API or other technique) where the input includes a natural language statement from equipment of a programmer, and where the natural language statement indicating an intent of the programmer to generate a particular domain-specific code compatible with the particular domain-related code; generating, according to the intent of the programmer, a code block by applying the NLP model to the natural language statement; and providing the code block for presentation at the equipment of the programmer. Other embodiments are disclosed.

Abstract: Aspects are described for a user equipment (UE) having a transceiver and a processor communicatively coupled to the transceiver. The processor configures the UE to enter a low-power mode and determines that the UE is in a motion state. The processor determines that the UE has performed a voice communication for a first predetermined period. The processor measures signal qualities of neighboring cells while the UE is in the low-power mode in response to determining that the UE is in the motion state and that the UE has performed the voice communication for the first predetermined period.

Abstract: A system may store data from data channels in a first data storage, where the data from each data channel corresponds to a channel-specific structure. The system may transform the data from a channel-specific structure into a common structure to obtain transformed data and store the transformed data in a second data storage. The system may store, in a data model, a channel-specific session and one or more channel-specific threads that are in association with the transformed data. Further, a channel-specific session may correspond to metadata representing a grouping of channel-specific threads. The system may generate, in accordance with a stored configuration and via machine learning models, insights on the transformed data stored and store the insights in the data model, where an insight may be associated with the channel-specific session and the channel-specific threads of the transformed data. The system may then execute actions based on the insight generation.

Abstract: A computing system may receive, via a client interface, a query to trigger a prompt of a set of prompts configured for a large language model (LLM), where the query may be indicative of a set of data from one or more data sources linked to the prompt. The computing system may transmit, to an augmentation service, a request for a set of grounding data associated with the set of data from the data sources linked to the prompt. The computing system may then receive, from the augmentation service, the set of grounding data where the set of grounding data includes hierarchical context data from the data sources. The LLM may then be queried via the prompt using the first set of data and the set of grounding data. The response to the query may then be provided, to the client interface, for display via the client interface.

Abstract: Some aspects of this disclosure relate to apparatuses and methods for implementing time domain bandwidth part (TD-BWP) switch for carrier aggregation (CA) for balancing between the UE power consumption and a latency of the UE. For example, the UE includes one or more transceivers configured to wirelessly communicate with a base station on a plurality of component carriers (CCs) in a carrier aggregated (CA) network. The UE also includes a processor communicatively coupled to the one or more transceivers. The processor is configured to perform a time domain bandwidth part (TD-BWP) switch on a first CC of the plurality of CCs when the UE and the base station are communicating on the first CC. The processor is further configured to perform the TD-BWP switch on a second CC of the plurality of CCs when the UE and the base station are communicating on the second CC.