Abstract: A nano-Janus photocatalyst for CO2 reduction and method for fabricating the same is disclosed. The photocatalyst includes a plurality of nanoparticles, each nanoparticle having a plasmonic metal coupled to a semiconductor to form a nano-Janus heterostructure. An interface between the plasmonic metal and the semiconductor forms a Schottky junction. The plasmonic metal may be gold, and the semiconductor may be Cu2O. A method for fabricating the nano-Janus photocatalyst includes tuning a surface energy of a plurality of plasmonic metal nanoscale seeds through ligand incubation, and deposing a semiconductor on part of each seed, with the semiconductor growing on the seed through selective nucleation informed by the ligand incubation.

Abstract: Techniques for auditioning audio content by a playback device involve (1) receiving, via at least one communication interface of the playback device, first audio content to be played back by the playback device, (2) playing back the first audio content, (3) while playing back the first audio content, receiving, via at least one microphone of the playback device, second audio content to be played back by the playback device (4) after receiving the second audio content: (i) suspending playback of the first audio content; and (ii) playing back the second audio content, and (5) after playing back the second audio content, resuming playing back the first audio content.

Abstract: Techniques described herein relate to using one or more machine learning models to identify values of variables to be used in application commands for execution. For example, the one or more machine learning models may identify one or more values of variables that are used to replace a different set of one or more values of variables in an application command before executing the command on a host.

Abstract: A device may detect events associated with users of a public network and a private network, and may process the events, with a first machine learning model, to define the events and assign priorities to the events to generate prioritized events. The device may process the prioritized events and policies associated with the private network and the public network, based on the priorities and with a second machine learning model, to determine actions to perform in the private network and the public network. The device may cause resources to be allocated in the private network and the public network for performance of the actions.

Abstract: An example implementation involves a playback device receiving a request to add continuous automated streaming audio content to a playback queue, the request indicating a playback start time, and the playback queue indicating a plurality of audio content. The implementation further involves the playback device adding the continuous automated streaming audio content to the playback queue. The example implementation also involves the playback device determining that a duration until the playback start time is less than a duration of the given audio content before playing a given audio content in the playback queue. The example implementation involves the playback device responsively, playing the continuous automated streaming audio content.

Abstract: Techniques are described herein that are capable of performing role-based approval of a resource lifecycle event with regard to a cloud-based resource. A request to perform a resource lifecycle event with regard to a cloud-based resource is received. A designated approver is identified. The designated approver has authority to grant approval to perform the resource lifecycle event with regard to the cloud-based resource as a result of the designated approver having an approver role, which is authorized to grant the approval. An explicit approval is obtained from the designated approver. The explicit approval grants approval to perform the resource lifecycle event with regard to the cloud-based resource. As a result of an approval criterion being satisfied, performance of the resource lifecycle event with regard to the cloud-based resource is triggered. The approval criterion includes obtainment of the explicit approval.

Abstract: Examples provided herein are directed to social-media playback queues. In one example, a computing system may be configured to (i) receive an identifier of a media playback system, (ii) link the identifier with a social-media account, (iii) based at least on linking the identifier with the social-media account, generate a social-media playback queue that is fillable with one or more media items playable by the media playback system, (iv) establish access permissions to the social-media playback queue, where the access permissions indicate at least one additional social media account that (a) is within a social-media network of the social-media account, and (b) has access to the social-media playback queue, (v) receive, from a computing device affiliated with the at least one additional social-media account, an indication of a media item to be added to the social-media playback queue, and (vi) add the media item to the social-media playback queue.

Abstract: Systems and methods for training a generative neural radiance field model can include geometric regularization. Geometric regularization can involve the utilization of reference geometry data and/or an output of a surface prediction model. The geometry regularization can train the generative neural radiance field model to mitigate artifact generation by limiting a distribution considered for color value prediction and density value prediction to a range associated with a realistic geometry range.

Abstract: A network device is described. The network device features a processor and a non-transitory storage medium. The non-transitory storage medium comprises multiple modules. A first module is configured, upon execution by the processor, to obtain content associated with environment assets situated within a first enterprise environment. A second module may include a campaign source module, which is configured, upon execution by the processor, to obtain content associated with phishing campaigns performed locally within the first enterprise environment and globally within one or more enterprise environments.

Abstract: Embodiments are described herein that involve receiving, by a social-media computing system from a media playback system, playback data indicating media that is being played back by the media playback system, where the playback data comprises an indication of at least one zone of the media playback system in which the media is being played back; and based on the received playback data, updating social-media data in a social-media account, where the updated social-media data comprises an indication of the at least one zone in which the media is currently being played back.

Abstract: A computerized method is provided for evaluating performance of a virtual service agent. The method includes automatically generating personas for impersonating virtual customers by inputting select demographic profiles into a trained large language model (LLM). The method also includes generating (i) a list of questions for the virtual service agent for completing at least one task specific to the virtual users and (ii) a simulated context comprising moods or attitudes of the virtual customers at beginning of the simultaneous interactions. The method further includes enabling the virtual customers to simultaneously interact with the virtual service agent to complete the task via multiple simulated dialogue turns involving the list of questions and the simulated context and evaluating the performance of the virtual service agent based on the dialogue turns.

Abstract: In certain implementations, a method includes obtaining network information for a plurality of access points (APs) that are configured to provide user devices with access to a communication network, and determining, according to the network information, partitions in which to divide the APs for deploying a software update to the APs. The method includes dividing, according to a vertex coloring algorithm, the APs into the partitions. The APs correspond to vertices of the vertex coloring algorithm, and neighbor relationships of the APs correspond to edges of the vertex coloring algorithm. The method includes transmitting software update instructions to the APs to cause APs of a first partition to execute a reboot for installing the software update on the APs of the first partition at a different time than APs of a second partition execute a reboot for installing the software update on the APs of the second partition.

Abstract: A system and method for synthesizing and verifying a circuit design includes receiving a circuit design. An equivalency metric is determined across a first hierarchy and a second hierarchy from hierarchies of the circuit design. The equivalency metric is based on one or more of a combinational element equivalency and a sequential element equivalency across the first hierarchy and the second hierarchy. An updated circuit design is generated by ungrouping the first hierarchy of the hierarchies into the second hierarchy of the hierarchies based on the equivalency metric.

Abstract: A computerized method is provided for digitally signing a digital document related to a transaction request from a customer. The method includes receiving, by a computing device, data related to the transaction request from the customer via a web-based interface. Receipt of the transaction data initiates a request session. The method also includes recording during the request session a voice signature sample from the customer via the web-based user interface and verifying the customer for the transaction request by comparing the voice signature sample with a stored voice print of the customer. Further, a consolidated record for the transaction request is generated that includes the transaction data and the transaction result. The digital document is populated with the transaction data if the customer is verified, where the digital document is treated as being digitally signed by the customer.

Abstract: Some users of a data management system (DMS) may use multiple computing environments to replicate and store virtual machines (VM)s, such as for backup and recovery purposes. For example, different replication environments may include one or more private data centers, one or more cloud environments or any combination thereof. A user may schedule a failover procedure for an application. A DMS may perform a failover procedure that reduces downtime and eliminates data loss. The DMS may capture and replicate a snapshot of a VM running on a source computing environment to a target computing environment, power down the VM on the source computing environment, capture and replicate a second snapshot of the VM to the target computing environment, and power on the VM at the target computing environment. As the additional snapshot includes a relatively small amount of data replication at the target computing environment may proceed quickly, reducing downtime.

Abstract: Embodiments relate to sensors, sensor assemblies, and methods of making sensor coatings where the sensors comprise ACM or SAW based sensors with applied humidity tolerant coatings that target adsorption and desorption of selected refrigerant gas molecules via MOF coatings and particularly A2L and A3 refrigerants such as R32 and R290.

Abstract: Examples described herein involve switching between two user accounts of a streaming media service. In an example implementation, a playback device stores data representing credentials for multiple user accounts including a first user account of a first streaming audio service and a second user account of the first streaming audio service. The playback device receives instructions to play first audio content from the first streaming audio service and plays back the first audio content by streaming data representing the first audio content from one or more servers of the first streaming audio service using credentials of the first user account. The playback device detects a trigger associated with the first user account of the first streaming audio service and switches from streaming data representing the first audio content using credentials of the first user account to streaming data representing the first audio content using credentials of the second user account.

Abstract: A data management system may deploy a virtual machine agent on a source data storage environment including a first set of computing resources managed by a user of a data management platform. In some examples, the virtual machine agent facilitates a connection between the source data storage environment and a target data storage environment including a second set of computing resources managed by the data management platform. The target data storage environment may be configured to automatically recover and restore data at the target data storage environment based on determining a failover event at the source data storage environment. The data management system may receive, from the user, a backup configuration configuring a schedule for backing up the data from the source data storage environment to the target data storage environment. The data management system may then perform a backup of the data in accordance with the backup configuration.

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: In some implementations, an orchestration system may receive information regarding a containerized network function (CNF) to be deployed. The orchestration system may obtain deployment information regarding requirements for deploying the CNF, wherein the requirements include one or more of a computing requirement, a memory requirement, or a network connectivity requirement. The orchestration system may provide a request to obtain one or more recommendations regarding one or more schedulers configured to deploy CNFs associated with the requirements. The orchestration system may obtain the one or more recommendations regarding the one or more schedulers based on providing the request.