Abstract: The present embodiments relate to a sender sharing a credential associated with a user device to a recipient, allowing temporary access to the user device by the recipient. The sender can specify a user in which to share the credential and can set control parameters relating to the use of the user device by the recipient. The authorizing entity computer can transmit an credential identifier to the processing network computer and receive an encrypted credential from the processing network computer. The authorizing entity computer can transmit the encrypted credential to a storage application on the recipient computer. The recipient computer can then transmit a request to the processing network computer for a token and then obtain the token.

Abstract: A plasma chamber includes a chamber body having a processing region therewithin, a liner disposed on the chamber body, the liner surrounding the processing region, a substrate support disposed within the liner, a magnet assembly comprising a plurality of magnets disposed around the liner, and a magnetic-material shield disposed around the liner, the magnetic-material shield encapsulating the processing region near the substrate support.

Abstract: Some embodiments provide a method for a network management service operating in a first public cloud. The method receives a definition of a group of datacenters to manage. The group of datacenters includes (i) a virtual datacenter implemented in a second public cloud for an entity and (ii) a physical on-premises datacenter of the entity. The method receives a network policy configuration defining a logical network spanning the group of datacenters. The method provides logical network configuration data to local network managers at each of the datacenters at the group of datacenters.

Abstract: Some embodiments provide a method for deploying network management services for a group of datacenters. From a tenant of a network management system deployed in a container cluster of the public cloud, the method receives (i) a definition of a group of datacenters for the network management system to manage and (ii) a selection of a set of network management services from a plurality of network management services offered by the network management service. For each respective selected network management service, the method defines a respective namespace of the container cluster. The method deploys each respective selected network management service as a plurality of microservices in the respective namespace.

Abstract: An application disposition definition agent (ADDA) system intercepts runtime data generated by resources of a first platform when an application is executing in the first platform. The ADDA system discovers components of the application based on the intercepted runtime data. The ADDA system generates an application architecture that includes the discovered components of the application. The ADDA system identifies transactional behaviors of the components based on the intercepted runtime data. The ADDA system determines scalability and performance parameters of each discovered component based on the intercepted runtime data. The ADDA system generates an application architecture that includes the discovered components of the application, the transactional behaviors of the components, and the scalability and performance parameters of the components. The generated application architecture can be used to deploy the application in a second platform.

Abstract: Systems, methods, and computer-readable media are provided for an efficient roaming management method using a single association identifier token for associating with different access points. In one aspect of the present disclosure, a network controller includes memory having computer-readable instructions stored therein and one or more processors. The one or more processors are configured to execute the computer-readable instructions to receive a request from an endpoint to connect to a first access point; generate association identification token (e.g., PMK and PMKID) for the endpoint to connect to the first access point; and distribute the association identification token to a second access point prior to the endpoint attempting to connect to the second access point, the association identification token being used by the second access point to validate a subsequent request by the endpoint to connect to the second access point.

Abstract: Techniques for performing contextualized intent and slot extraction using a large language model (LLM) are disclosed. The LLM is generally pre-trained on an arbitrary corpus of language training data. A prompt is provided to the LLM. This prompt includes a limited number of prompt phrases. The prompt phrases share a semantic relationship with one another. A spoken utterance is recorded and then converted to text, resulting in generation of a transcription. The transcription is provided to the LLM. The LLM extracts, from the transcription, an extracted intent and an extracted slot. The extracted intent is determined to be related to a prompt-described intent that was included in the prompt. The prompt is supplemented by adding the extracted intent and the extracted slot to the prompt, resulting in the extracted intent being identified as sharing the semantic relationship with the other prompt phrases in the prompt.

Abstract: Embodiments are provided for querying a media server for media content based on user-selected metadata associated with first media while the first media is being experienced by a user. In one embodiment, at least one metadata associated with the first media may be displayed for the user to review while the first media is being experienced by the user. The user may then select a displayed metadata to initiate a search for media content based on the selected metadata. The search for media content may be performed by querying a media server associated with a selection of media content services. The user may then review the results of the media query, select media content from the results, and initiate further action, such as adding the media content to a digital repository, or purchasing the media content.

Abstract: Techniques for facilitating voice based dictation of programming code within a context of an IDE are disclosed. Programming code is fed to a text-to-speech (TTS) model. The TTS model generates an audio file associated with the code. The audio file is then fed to a speech-to-text (STT) model. The STT model generates a transcription file associated with the audio file. Each respective line of code included in the programming code is mapped to a corresponding line of code included in the transcription file, resulting in generation of a list of phrase pairings. These phrase pairings represent relationships between actual code and how that actual code sounds if read out loud. An LLM then ingests the list of phrase pairings. The LLM identifies correlations between programming vocabulary that has specific meaning within the context of the IDE and how that programming vocabulary sounds if read out loud.

Abstract: Techniques for causing an LLM to generate semantically related phrase variations for an identified phrase are disclosed. An LLM that is generally pre-trained on an arbitrary corpus of language training data is accessed. Seed data is fed as input to the LLM. The seed data includes multiple phrases that are semantically related and that describe a command. When any one of the phrases is received as utterance input, the utterance input triggers execution of the command. The LLM generates multiple phrase variations based on the phrases, where each phrase variation is semantically related to the other phrases. When any one of the phrase variations is received as new utterance input, the new utterance input also triggers execution of the command. The phrases and phrase variations are then stored together in a data storage.

Abstract: A data management system (DMS) may facilitate an investigation procedure for a set of one or more virtual machines (VMs) hosted in a first environment. The DMS may receive an indication of a selection of one or more sets of VMs and corresponding snapshots for the investigation procedure. The corresponding snapshots may be stored in a second environment, and each snapshot may be associated with a version of a respective set of VMs. The DMS may mount the one or more sets of VMs to one or more testing environments different than the first and second environments. The mounting may use the snapshots stored in the second environment to provide the testing environments with query access to respective versions of the sets of VMs hosted in the first environment. The DMS may perform query operations between the first environment and the testing environments as part of the investigation procedure.

Abstract: A storage appliance may be configured to perform a method to evaluate a failover procedure. The method may include receiving a trigger indication to perform a test failover procedure for a plurality of virtual machines and identifying, based on receiving the trigger indication, a set of procedures for performing a full failover procedure on a target system based at least in part on a recovery configuration for the plurality of virtual machines. The method may include selecting a subset of test procedures of the set of procedures, causing execution on the target system of the subset of test procedures on a subset of virtual machines of the plurality of virtual machines, and calculating, based at least in part on the execution of the subset of test procedures on the subset of virtual machines, a success metric associated with the full failover procedure for the plurality of virtual machines.

Abstract: Embodiments described herein involve providing media item preferences according to a user account of a user providing the preference, rather than a user account providing the media item. When a user indicates a preference for a media item, the preference are associated with that particular user, rather than with another user whose account the media item may have been accessed and played through when the particular user indicated the preference. As a result, a media preference history associated with the account providing the media item will not be disrupted by other users indicating preferences for the media item. Further, users may build on their respective media preference histories even when listening to music provided by someone else.

Abstract: Automated configuration and deployment of models for projects of business enterprises. A model deployment configuration framework includes a template generated at a user interface. The template prompts a user to select model configuration aspects and model operating factors, and submit the selected aspects and factors to configure and deploy the model in a computing environment of the enterprise's computer system for packaging, training, scoring, and/or auditing the model in connection with a project of the enterprise.

Abstract: A computing system is provided, including a processor and memory storing instructions that cause the processor to execute a domain name service (DNS) log analyzer configured to identify a container identifier associated with a DNS request and a destination IP address associated with a DNS response to the DNS request, using one or more DNS logs, a fleet management system record analyzer configured to identify a first service associated with the container identifier and a second service associated with the destination IP address, using one or more fleet management system logs, and a dependency map generator configured to generate a service-to-service dependency map between the identified first service and the identified second service.

Abstract: A device includes an elongated hollow member having an open distal end for receiving tissue therein and at least one exterior groove for loading at least one ligation band thereon. The device also includes a band deployment sleeve slidable over the exterior of the hollow member and configured to move from a radially expanded position to a radially contracted position in which, when the band deployment sleeve slides longitudinally over the hollow member, the distal portion engages the at least one ligation band. A closing sleeve slidable over the exterior of the band deployment sleeve is configured to constrain the distal portion from the radially expanded position into the radially contracted position. Retracting the closing sleeve proximally over the distal portion of the band deployment sleeve releases the distal portion from the radially contracted position into the radially expanded position.

Abstract: The disclosure generally pertains to systems and methods for trash collection management. In an example embodiment, a dumpster monitoring apparatus may determine that an amount of garbage in a dumpster exceeds a threshold level (such as, for example, above a full-level marked on the dumpster). If the garbage exceeds the threshold level, the dumpster monitoring apparatus automatically transmits a request to a dumpster management apparatus to dispatch a garbage truck. In an example scenario, the dumpster monitoring apparatus may further determine that a current location of the dumpster is stationed is inaccessible to the garbage truck. Consequently, the dumpster monitoring apparatus may automatically transmit a request to a robot vehicle (such as robotic forklift) to move the dumpster from the current location to a new location that is accessible to the garbage truck. The dumpster monitoring apparatus may then inform the dumpster management apparatus of the new location.

Abstract: Techniques are described for performing complaint prioritization using one or more machine learning models for customer communications. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to receive communication data indicative of a service inquiry from a user device, generate a set of emotion factor values that indicate a measure of particular emotions in the service inquiry, determine, using a machine learning model and based on the set of emotion factor values, an emotional priority score for the service inquiry, and determine a response priority order for the service inquiry based on at least the emotional priority score.

Abstract: Embodiments described herein provide techniques to enable the dynamic reconfiguration of memory on a general-purpose graphics processing unit. One embodiment described herein enables dynamic reconfiguration of cache memory bank assignments based on hardware statistics. One embodiment enables for virtual memory address translation using mixed four kilobyte and sixty-four kilobyte pages within the same page table hierarchy and under the same page directory. One embodiment provides for a graphics processor and associated heterogenous processing system having near and far regions of the same level of a cache hierarchy.

Abstract: Techniques are described for determining a likelihood that a customer communication is fraudulent using one or more machine learning models. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to: receive a set of emotion factor values for communication data of a current communication associated with a customer, wherein each emotion factor value indicates a measure of a particular emotion factor in the current communication; classify, using an emotion variance model running on the one or more processors, the current communication into an emotional fraud category based on the set of emotion factor values for the current communication associated with the customer; and determine a risk score for the current communication indicative of a probability that the current communication is fraudulent based on at least the emotional fraud category for the current communication.