Abstract: A computer-implemented method according to one embodiment includes establishing, for each hop in pathways of a network, a relation between a desired reliability and channel error. Based on the established relations, a maximum number of copies of packets to send from a source in the network to a target in the network is determined. An overhead associated with sending packets from the source to the target in the network is determined for each of the hops, and a first sum of such overheads is also determined. An overhead associated with sending an acknowledgement packet to the source is determined for each of the hops. A second sum is a sum of the overheads associated with sending the acknowledgement packet to the source. In response to a determination that a sum of the first sum and the second sum is less than a predetermined threshold value, the pathways are used.

Abstract: Using a first set of machine learning models, a communication from a user of a restaurant is analyzed at an order coordinator linked via a network to resources of an order management service at a provider network. A response to the communication is prepared using another set of models at the provider network and presented to the user. An order of the user for one or more restaurant menu items is fulfilled, based at least partly on analysis of a second communication received from the user after the response is presented.

Abstract: A node is configured for deployment in an IP network. The node includes a memory configured to store a first identifier that uniquely identifies the node within the IP network. The node also includes a transceiver configured to receive a first IP packet. The node further includes a processor configured to selectively forward the first IP packet based on whether a first recorded route (RR) in the first IP packet includes the first identifier. Selectively forwarding the first IP packet includes dropping the first IP packet in response to the first identifier being in the first IP packet or pushing the first identifier onto the first RR in the first IP packet in response to the first identifier not being in the first IP packet.

Abstract: An electronic device includes one or more sensors detecting an energy storage level of an energy storage device falling below a predefined threshold. A location detector and a motion detector determine whether the electronic device is positioned at a location trusted by an authorized user or whether the electronic device is being transported by a mode of transport trusted by the authorized user. The one or more processors identify foreground applications operating on the electronic device and non-essential services associated with the foreground applications. The one or more processors restrict the non-essential services from occurring when the energy storage level of the energy storage device is below the predefined threshold unless the electronic device is positioned at the trusted location or is being transported by the trusted mode of transport.

Abstract: A remote chemical vapor deposition (“CVD”) reactor and process is disclosed, which includes a vacuum insulated inner core with an inlet that is connected to vapor inlet source and an outlet connected to a deposition chamber or a secondary reactor unit. The inner core may be heated to high temperatures by any of different energy sources, allowing for breaking of chemical bonds in the flowing vapor molecules and resulting in generating vapor phase reactive intermediates that are ultimately transported to a vacuum chamber for depositing thin films by the CVD process.

Abstract: A system may include a controller with one or more processors. The controller may determine the wheel size of a wheel of a vehicle during a trip. The one or more processors may communicate a message associated with the wheel size to an off-board device when the wheel size is below a threshold size.

Abstract: The present disclosure is directed to monitoring internal process memory of a computer at a time with program code executes. Methods and apparatus consistent with the present disclosure monitor the operation of program code with the intent of detecting whether received program inputs may exploit vulnerabilities that may exist in the program code at runtime. By detecting suspicious activity or malicious code that may affect internal process memory at run-time, methods and apparatus described herein identify suspected malware based on suspicious actions performed as program code executes. Runtime exploit detection may detect certain anomalous activities or chain of events in a potentially vulnerable application during execution. These events may be detected using instrumentation code when a regular code execution path of an application is deviated from.

Abstract: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes.

Abstract: A virtual assistant server receives conversational inputs as part of a conversation from a customer device and generates a version of a data record of the conversation upon: the receiving of each of the conversational inputs, or receiving each output generated by one of a plurality of software modules when the one of the software modules receives a system input from the conversation management framework. The virtual assistant server provides each of the generated versions of the data record to a communication orchestrator and receives for each of the generated versions of the data record, execution instructions from the communication orchestrator. Further, the virtual assistant server communicates with one or more of the software modules based on the received execution instructions, and provides based on the communicating, one or more of the outputs of the software modules to the customer device, when the one or more of the outputs comprise one or more responses to one or more of the conversational inputs.

Abstract: This disclosure relates to scope-based lock management for shared resources of a distributed computing system. A scope-based lock manager may grant a request for a lock of a shared resource of the distributed computing system, where the lock request includes a scope of the lock and a target having the scope. The target may define entities able to access the shared resource when locked. The scope and target of the lock are stored at a lock database including scopes and targets associated with additional locks of additional shared resources of the distributed computing system. The scope based lock manager may determine when a computing node of the distributed computing system has failed and remove the lock from the lock database responsive to a determination that the target of the lock is hosted on the computing node.

Abstract: A device receives a request to display a learning module. The device receives sensor values from a set of one or more sensor devices attached to a patient. The device displays a set of survey questions. The device receives user-specified responses to the set of survey questions. The device selects a first learning module from a plurality of learning modules based on the sensor values and the user-specified responses to the set of survey questions. The device displays the first learning module on the display in response to receiving the request to displaying the learning module.

Abstract: A threat management facility receives data from a variety of sources such as compute instances within an enterprise network, cloud service providers supporting the enterprise network, and third-party data providers such as geolocation services. In order to facilitate prompt notification of potential risks, the threat management facility may incrementally update data for use in threat assessments as the data becomes available from these different sources, and create suitable alerts or notifications whenever the currently accumulated data provides an indication of threat meeting a predetermined threshold.

Abstract: Examples described herein provide a method for drilling a wellbore by a wellbore operation system into a subsurface of the earth. The wellbore operation system includes a bottom hole assembly. The method includes conveying the bottom hole assembly into the wellbore. The method further includes selecting a well plan for the wellbore. The method further includes measuring well data by at least one sensor in the wellbore operation system while the bottom hole assembly is in the wellbore. The method further includes generating, by a processing device, a steering proposal based at least in part on the well plan and the well data. The method further includes drilling, with the wellbore operation system, at least a portion of the wellbore based at least in part on the steering proposal.

Abstract: In one embodiment, a test process herein may: execute an application under test; monitor execution of the application under test for system calls specific to a particular operating system in which the application under test is being executed; capture a count of system calls specific to the particular operating system during the execution of the application under test; and compute a portability metric based on the count of system calls specific to the particular operating system, the portability metric indicative of how dependent the application under test is on the particular operating system.

Abstract: A system and method for automation and managing of security requirements and software supply chain in a software development lifecycle in a service-oriented architecture. Shared components can be used in the implementation of multiple software applications and each component has a functionality in the application and a set of controls for its implementation. A requirements library provides a list task requirements for each application which are applicable to the software application based on application context which is adjusted based on the controls required for implementation or controls addressed by the component. The shared components in the component library can be pre-authorized for use and applied to various software projects and applications with tracking, versioning, and dependency management.

Abstract: A conferencing system terminal device includes a display, an audio output, a user interface, a communication device, and one or more processors. The one or more processors present an audio difficulties user actuation target upon the display during an audio or video conference occurring across a network and concurrently with a presentation of conference content. Actuation of the audio difficulties user actuation target indicates that audio content associated with the audio or video conference being delivered by the audio output is impaired.

Abstract: The present disclosure relates to a method and apparatus for generating training data of a deep learning model for lane classification. The method according to an embodiment of the present disclosure is performed by an electronic apparatus, and is a method for generating training data of a deep learning model for lane classification by generating a composite image of the other color lane using images of a white lane and the other color lane, and includes determining a ratio of other two channels based on one channel (reference color channel) for three color channels of red (R), green (G) and blue (B) of the other color lane in the image of the other color lane; and generating a composite image of the other color lane by scaling the image of the white lane by applying the determined ratio to the other two channels with respect to the reference color channel of the white lane.

Abstract: A virtual assistant server extracts concept(s) from a received user query and correlates the extracted concept(s) to a plurality of nodes in a knowledge graph to identify qualifying path(s) in the knowledge graph. Further, when the two or more qualifying paths are identified, the virtual assistant server addresses one or more ambiguities in the knowledge graph by: prompting the user device to resolve a current one of the one or more ambiguities progressing from contextual nodes towards leaf nodes in the knowledge graph; receiving a response to the prompt from the user device; and repeating the prompting and the receiving until each of the one or more ambiguities is resolved and a matching path to the received query is identified. Finally, the virtual assistant server outputs content associated with a leaf node of the matched path to the user device.

Abstract: A computer-implemented method, computer-readable medium, and computer system that involve operations including receiving, from a computing cluster, a first request for changing a first object type specified by an approval policy resource, where the approval policy resource is a first one of a plurality of custom resources; identifying, in response to receiving the first request and using a second custom resource of the plurality, an approval process associated with the first object type; performing the approval process associated with the first object type; and sending, to the computing cluster, a first notification indicating that the request has been approved.

Abstract: Example edge gateway circuitry to schedule service requests in a network computing system includes: gateway-level hardware queue manager circuitry to: parse the service requests based on service parameters in the service requests; and schedule the service requests in a queue based on the service parameters, the service requests received from client devices; and hardware queue manager communication interface circuitry to send ones of the service requests from the queue to rack-level hardware queue manager circuitry in a physical rack, the ones of the service requests corresponding to functions as a service provided by resources in the physical rack.