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: 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: 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: 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: 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: 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: 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.

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: Disclosed are various embodiments for seamless insertion of modified media content. In one embodiment, a modified portion of video content is received. The modified portion has a start cue point and an end cue point that are set relative to a modification to the video content to indicate respectively when the modification approximately begins and ends compared to the video content. A video coding associated with the video content is identified. The start cue point and/or the end cue point are dynamically adjusted to align the modified portion with the video content based at least in part on the video coding.

Abstract: A ferroelectric liquid crystal (FLC) material in a vertically aligned liquid crystal cell, comprising at least one chiral compound and at least one non-chiral liquid crystal compound, with a sub-micron scale helix pitch less than 300 nm, spontaneous polarization greater than 100 nC/cm2, and a tilt angle greater than 38 degrees. The ferroelectric liquid crystal (FLC) material provides an extremely large Kerr constant in a vertically aligned liquid crystal cell at the communication band of the light and therefore reduces the driving voltage and response time.

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: Systems and methods described herein provide for novel boundary generation features for interleaving additional content into media content. Media content may be received which includes a video and audio portion. An unencrypted encode of the video portion may be generated. A first set of time stamps for the video portion may be generated using a computer vision algorithm. A second set of time stamps for the video portion may be generated for identifying IDR frames using a first algorithm. A third set of time stamps may be generated to serve as boundaries for interleaving additional content into the media content based on a priority algorithm that uses the first set of time stamps and the second set of time stamps. The video portion may be encoded using the third set of time stamps to determine the IDR frames for the media content.

Abstract: A medical device includes opposing first and second end effectors coupled together to move from an open configuration to a closed configuration, a first link with a distal end pivotally connected to a proximal end of the first end effector, the first link including a first slot at a proximal end of the first link, a second link with a distal end pivotally connected to a proximal end of the second end effector, and a first actuator pin slidable within the first slot.

Abstract: Various embodiments herein disclose a method camping a User Equipment (UE) on a cell, the method comprising: creating a combined Most Recently Used (MRU) list by merging a list 4G MRU frequencies with a Public Land Mobile Network (PLMN) having a 5GC and a list of 5G MRU frequencies, determining whether one of a 4G cell with 5G core (5GC) and a 5G cell is available for camping by performing a MRU scan on the combined MRU list; performing one of: camping on one of the 4G cell with 5G core and the 5G cell in response to determining that one of the 5G cell and the 4G cell with 5G core is available and performing a 4G MRU frequency scan on a list of 4G without 5GC MRU frequencies in response to determining that one of the 4G cell with 5G core and the 5G cell is not available.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.

Abstract: An example method involves providing an interface that simultaneously displays an indication of a respective volume corresponding to each of at least two zone players and displays a respective selectable icon corresponding to each of the at least two zone players. Each respective selectable icon indicates whether the corresponding zone player has been selected for a group, and at least one of the respective selectable icons indicates that a respective zone player has been selected for the group. The interface further displays an indication of a group volume associated with the at least one selected zone player. The method further includes receiving a command to change at least one of a respective volume of one or more of the at least one selected zone player or the group volume, and transmitting an indication of the received command to one or more of the at least one selected zone player.