Abstract: Vehicles may have autonomous capabilities that permit the vehicle to navigate according to varying levels of participation by a human operator. A human operator may be associated with a driving capability profile and the environment surrounding a vehicle may be associated with an environmental risk profile. A vehicle, or another party in communication with a vehicle, may determine whether, based on the human operator's driving capability profile and the environmental risk profile, it is likely that the vehicle will be navigated more safely if there is a change to the vehicle's autonomous capabilities and a corresponding change to the human operator's driving responsibilities. If it is determined that a change in autonomous vehicle capability is likely to increase safe navigation of the vehicle, an insurer may offer an insurance premium cost reduction if the human operator agrees to the proposed change in autonomous capabilities.

Abstract: The present application discloses a non-toxic organic formulation for decreasing remediation time for released petroleum products and/or organic compounds into soil and water and the degradation of organic compounds applied during industrial processes. The non-toxic organic formulation comprising consortium of microbes and enhancers that tend to digest the petroleum hydrocarbon products including but not limited to oils, refined fuels, and greases into non-toxic byproduct and degrade organic compounds including but not limited to acrylamide, benzene, toluene, ethylbenzene, and xylene into non-toxic byproducts.

Abstract: A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

Abstract: Disclosed are improved devices, systems and methods for powered generator systems which incorporate a solid-state transient power response system to provide supplemental electrical power to the power output during a transient period of increased electrical load, which permits the generator system sufficient time to progressively “spin up” the generator and/or otherwise increase power output at a desired rate to meet the increased electrical load demand in a desired manner.

Abstract: Methods of assembling an aircraft wing includes adhering fuel dams to stringers and adhering the fuel dams to ribs. Fuel dams include a fuel-dam body that defines a channel shaped to receive a portion of a stringer of an aircraft wing. The fuel-dam body includes a stringer adherent surface, a rib adherent surface, and a pair of spaced-apart flanges extending from the rib adherent surface and positioned to project from the rib adherent surface on opposing sides of a notch of a rib.

Abstract: Predictive mapping technology is used to route a telephone call from a user to a customer service representative. The disclosed technology can use any one or more of the following factors to map a telephone call from a user to a customer service representative: (1) a sentiment score based on a topic of conversation; (2) an experience score of the customer service representative with a topic of conversation; and (3) a performance score of the customer service representative in managing a topic of conversation.

Abstract: Methods of assembling an aircraft wing includes adhering fuel dams to stringers and adhering the fuel dams to ribs. Fuel dams include a fuel-dam body that defines a channel shaped to receive a portion of a stringer of an aircraft wing. The fuel-dam body includes a stringer adherent surface, a rib adherent surface, and a pair of spaced-apart flanges extending from the rib adherent surface and positioned to project from the rib adherent surface on opposing sides of a notch of a rib.

Abstract: A seal arrangement is provided for sealing an exposed edge of a composite laminate part having a fay surface configured to be joined to a structure. The seal arrangement includes a precured edge seal covering the exposed edge and a cover covering the edge seal. A seal bead located within a recess in the fay surface of the part forms a seal between the part and the structure.

Abstract: Disclosed are various embodiments for image assisted delivery. A computing device may receive a first image from a first client device and a second image from a second client device. The computing device match a location in the first image to a location in the second image. The computing device may subsequently determine a characteristic of a package in the second image and determine that the characteristic of the package corresponds to package information of an order. Then, the computing device may confirm a delivery of the package.

Abstract: Predictive mapping technology is used to route a telephone call from a user to a customer service representative. The disclosed technology can use any one or more of the following factors to map a telephone call from a user to a customer service representative: (1) a sentiment score based on a topic of conversation; (2) an experience score of the customer service representative with a topic of conversation; and (3) a performance score of the customer service representative in managing a topic of conversation.

Abstract: Techniques configuring a machine learning model include instantiating a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform. A selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model are received and sent to the machine learning model. A selection of one or more directories and an instruction to apply the machine learning model are sent to the machine learning model.

Abstract: The present disclosure is directed toward a storage compartment vehicle (“SCV”) for use in the transport of items for delivery to one or more customers and/or retrieval of items from one or more customers. The SCV may include a plurality of storage compartments that are individually accessible, each of which can contain one or more items. The SCV may navigate to a delivery location and customers may retrieve ordered items from the storage compartments of the SCV. Likewise, customers may return items into storage compartments of the SCV.

Abstract: Techniques configuring a machine learning model include instantiating a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform. A selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model are received and sent to the machine learning model. A selection of one or more directories and an instruction to apply the machine learning model are sent to the machine learning model.

Abstract: A mismatch between model-based classifications produced by a first version of a machine learning threat discernment model and a second version of a machine learning threat discernment model for a file is detected. The mismatch is analyzed to determine appropriate handling for the file, and taking an action based on the analyzing. The analyzing includes comparing a human-generated classification status for a file, a first model version status that reflects classification by the first version of the machine learning threat discernment model, and a second model version status that reflects classification by the second version of the machine learning threat discernment model. The analyzing can also include allowing the human-generated classification status to dominate when it is available.

Abstract: A seal arrangement is provided for sealing an exposed edge of a composite laminate part having a fay surface configured to be joined to a structure. The seal arrangement includes a precured edge seal covering the exposed edge and a cover covering the edge seal. A seal bead located within a recess in the fay surface of the part forms a seal between the part and the structure.

Abstract: Disclosed are various embodiments for routing communications to service agents based on a workflow. A computing device identifies a user intent object corresponding to a user interaction with the computing device. The computing device then generates a search criterion based on the identified user intent object and uses the search criterion for identifying the user intent in subsequent user interactions. After identifying the user intent, the computing device can identify a workflow corresponding to the user intent object. Later, the computing device can process one or more tasks associated with the workflow.