Abstract: A method and system include receiving current data values for a group of vehicles, each of the current data values being generated by vehicles in the group of vehicles, and retrieving data external to the group of vehicles. They further include processing the data using two or more machine learning algorithms to identify a set of selected data values based on current operation and processing the set of selected data values, using a first and second machine learning algorithm, to generate predicted efficiency values for each vehicle. They further include determining if a predicted efficiency value of a first vehicle in the group of vehicles is less than a predicted efficiency for a second vehicle in the group of vehicles, comparing operational characteristics of the first and second vehicle based on the determination, and providing a message in order to improve efficiency for the first vehicle based on the comparison.

Abstract: Methods, computing systems, and technology for optimizing a landing page of a website are presented. The system can receive, from a user device, a first web address associated with a first webpage of the website. The system can process, using the machine-learned assessment model, the first webpage to generate a first landing page score. The system can determine, based on the first landing page score and using a machine-learned optimization model, an actionable suggestion associated with the landing page. The system can cause, on a display of the user device, a presentation of the actionable suggestion.

Abstract: A system for predicting the vulnerability of a building management system (BMS) includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to establish a first communication link to a first data source and receive a first data using a communication module communicatively coupled to the processor. The first data includes information related to at least one of a plurality of IoT-enabled devices. The system is further configured to generate a historical record composed of a plurality of received data feeds received from a plurality of data feeds at unanticipated time intervals and analyze at least one of the plurality of data feeds with at least one or more of: the first data, the historical record, and another of the plurality of data feeds to predict the vulnerability of the BMS.

Abstract: A data processing system implements obtaining a set of input parameters associated with an update to be deployed to a plurality of server farms of a cloud-based service, wherein each server farm includes a primary replica configured to handle user traffic and a disaster recovery replica configured to handle user traffic responsive to a failure of the primary replica; determining temperature information for each of the server farms, ranking the server farms based on the temperature information to determine an order in which an update is to be deployed to the server farms; iteratively deploying the updates to the primary replicas of the server farms according to the ranking until an deployment threshold has been satisfied; and iteratively deploying the updates to the primary replicas of server farms for which the primary replicas have not yet been updated and to the disaster recovery replicas of the server farms.

Abstract: Embodiments disclosed herein include nanowire and nanoribbon devices with non-uniform dielectric thicknesses. In an embodiment, the semiconductor device comprises a substrate and a plurality of first semiconductor layers in a vertical stack over the substrate. The first semiconductor layers may have a first spacing. In an embodiment, a first dielectric surrounds each of the first semiconductor layers, and the first dielectric has a first thickness. The semiconductor device may further comprise a plurality of second semiconductor layers in a vertical stack over the substrate, where the second semiconductor layers have a second spacing that is greater than the first spacing. In an embodiment a second dielectric surrounds each of the second semiconductor layers, and the second dielectric has a second thickness that is greater than the first thickness.

Abstract: Apparatuses, systems, and techniques to predict wireless transmission error rates. In at least one embodiment, a processor includes one or more circuits to predict one or more wireless transmission error rates based, at least in part, on one or more signal to noise ratio (SNR) measurements.

Abstract: A portable information handling system includes a touch function row between a keyboard and a display that accepts touches at plural locations to initiate an on-screen-display user interface for a selected of plural functions based upon a touch location. A sliding movement at the touch function row commands presentation of plural function input keys at the display having one of the plural function input keys highlighted when the sliding movement touch corresponds to a touch location of the input key. The on-screen-display user interface presents different control interfaces when touches include multiple fingers and drag versus non-drag inputs, such as by automatically applying a submenu control to the simultaneous touch, like changing speaker volume and toggling a microphone between mute and unmute.

Abstract: Example aspects of the present disclosure provide an example method. In some implementations, the example method can include receiving request data indicating a request for content. In some implementations, the example method can include determining a request context associated with the request data, wherein the request context is based on account data for a user device associated with the request. In some implementations, the example method can include determining, based on the request and the request context, a data object from a knowledge graph, wherein the data object comprises a subject and one or more attributes for the subject. In some implementations, the example method can include generating, using a machine-learned content generation model, content descriptive of the subject, the content generated based on the request, the request context, and the data object.

Abstract: Provided herein are compositions and methods for the assembly of a bioluminescent complex from two or more non-luminescent (e.g., substantially non-luminescent) peptide and/or polypeptide units. In particular, bioluminescent activity is conferred upon a non-luminescent polypeptide via structural complementation with another, complementary non-luminescent peptide.

Abstract: A cryogenic dewar may include an inner tank and an outer tank. The cryogenic dewar may further include a plurality of trunnion mounts. A first four of the trunnion mounts may be coupled between a front half of the inner tank and a front half of the outer tank. A second four of the trunnion mounts may be coupled between a rear half of the inner tank and a rear half of the outer tank. The trunnion mount may be further strengthen with a plurality of pie-shaped reinforcing pads welded to each other and to an outer surface of the inner tank.

Abstract: A logging system for an orchestration system that implements a rollout service to deploy updates to a cloud service includes: an orchestrator service host computer hosting the rollout service; a service bus connecting the orchestrator service host computer with a network on which the cloud service is provided; and a database to which the rollout service records a log of a deployment of an update, the log comprising an entry for each of a number of subsets of network components supporting the cloud service. Each record in the log refers to a payload version deployed to a corresponding subset of the network components supporting the cloud service.

Abstract: The techniques disclosed herein enable systems to safely deploy a plurality of upgrade variants to different resource units that provide a service by utilizing small-scale deployment and validation. To deploy upgrade variants, a system receives a selection of upgrade variants from a feature group and automatically selects an appropriate set of resource units at which to deploy the upgrade variants. The system is further configured to collect and analyze telemetry data from the set of resource units to determine if any problems have occurred as a result of the deployed upgrade variants. By analyzing the telemetry data, the system can also identify one or more upgrade variants that are causing the problems. In response, the system can remove the identified variants and proceed with deployment of the remaining upgrade variants.

Abstract: Provided herein are compositions and methods for the assembly of a bioluminescent complex from two or more non-luminescent (e.g., substantially non-luminescent) peptide and/or polypeptide units. In particular, bioluminescent activity is conferred upon a non-luminescent polypeptide via structural complementation with another, complementary non-luminescent peptide.

Abstract: A method of and system for implementing a safe deployment of a first feature in a computing environment is carried out by receiving registration information for the first feature, the registration information including a second feature on which the first feature depends or a feature type on which the first feature depends. Based on the second feature or the feature type, a target build version that meets dependency requirements of the second feature or the feature type is then identified before obtaining a list of build versions for a plurality of computing devices in the computing environment. From among the plurality of computing devices, one or more computing devices that have build versions that meet the target build version are then identified before marking the identified computing devices as being available for deployment of the feature and advancing deployment of the feature to those computing devices.

Abstract: Provided herein are dual probe assays for detecting a mutation in an amplified target nucleic acid, e.g., for detecting a single point mutation linked to drug resistance.

Abstract: A fault injection system for a cloud infrastructure utilizes fault injection agents instantiated on components of the cloud infrastructure to inject fault into the components. The faults are based on fault definitions which define the type(s) of fault(s) to inject, the scope for injecting the fault into the cloud infrastructure, deployment information for deploying the fault in the cloud, and remediation information which defines a plan for remediating the fault in the cloud infrastructure. The system monitors the impact of faults on the components which enables component dependencies to be determined.

Abstract: Aspects of the disclosure relate to automatic script generation using a multi-layered ingestion program. An automatic ingestion platform may generate the program. The platform may receive a request to ingest information. The platform may automatically generate a plurality of executable scripts using the program. The plurality of scripts may include at least one script corresponding to a first layer of the program and a plurality of scripts corresponding to a second layer of the program. The platform may identify a subset of information to be ingested based on executing a script corresponding to the first layer. The platform may execute the scripts corresponding to the second layer. Executing the scripts corresponding to the second layer may cause the platform to deploy a schedule management program and transfer the subset of information to a third layer. The platform may cause synchronization of a central information repository with the third layer.

Abstract: Persistent storage contains a state machine for a request routing process and a plurality of requests related to the request routing process. One or more processors are configured to apply the state machine through operations including: obtaining a request from the plurality of requests; providing, to a criticality detection application and to an intent detection application, a representation of the request, wherein the criticality detection application is configured to detect a criticality of the request, and wherein the intent detection application is configured to determine a semantic intent of the request; receiving, from the criticality detection application and the intent detection application, respective indications of a detected criticality of the request and a detected intent of the request; determining whether to route the request to a channel that is one of a live agent, a virtual agent, or a search-based application; and routing the request to the channel as determined.

Abstract: An orchestrator for updating a cloud service includes: an orchestrator service host computer comprising a processor and memory; an orchestrator service for execution by the orchestrator service host computer for orchestrating updates to farms of the cloud service over a service bus; a stage management service for determining which farms should be in each stage of an update deployed by the orchestrator service; and a grouping table identifying farms that should be in a common stage of the update deployed by the orchestrator service. The stage management service places farms grouped in the grouping table in a common stage of the update deployment.

Abstract: The present disclosure is directed to compounds of Formula (I) and methods of their use and preparation, as well as compositions comprising compounds of Formula (I).