Abstract: The present disclosure is directed to artificial intelligence agent systems for user-specific tasks. The systems and methods disclosed herein can obtain a query descriptive of a task to be performed by an agent system; generate a routing prompt based on the query; provide the routing prompt as input to a routing mechanism of the agent system; determine to access a user-specific memory layer of the agent system based on an output of the routing mechanism of the agent system in response to the routing prompt; generate a retrieval prompt based on the query; and generate an output of the agent system using the user-specific memory layer and based on the retrieval prompt.

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: Example aspects of the present disclosure are directed to computing systems and methods that perform whole person association with face screening and/or face hallucination. In particular, one aspect of the present disclosure is directed to a multi-headed person and face detection model that performs both face and person detection in one model. Each of the face and person detection can find landmarks or other pose information and also a confidence score. The pose information for the face and person detections can be used to select certain face and person detections to associate together as a whole person detection, which can be referred to as an “appearance.

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.

Abstract: Example aspects of the present disclosure are directed to computing systems and methods that perform whole person association with face screening and/or face hallucination. In particular, one aspect of the closure is directed to a multi-headed person and face detection model that performs both face and person detection in one model. Each of the face and person detection can find landmarks or other pose information and also a confidence score. The pose information for the face and person detections can be used to select certain face and person detections to associate together as a whole person detection, which can be referred to as an “appearance.

Abstract: Methods and build materials are provided for producing articles with additive manufacturing processes. The methods comprise providing a build material comprising a powder mixture of about 95.0 wt. % to about 99.95 wt. % metallic powder and about 0.05 wt. % to about 5.0 wt. % graphene powder and performing an additive manufacturing process to produce the article from the build material. The graphene powder comprises nanoplatelets having between 1 and 30 layers of graphene.

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.

Abstract: Embodiments herein describe a predictive delivery planning system that includes a forecaster that predicts simulated orders (e.g., forecasted orders) for multiple different demand scenarios. Once the simulated orders are selected, a route planner can generate routes for delivering the simulated and actual customer orders for each scenario. The planning system then converts these routes in labor plans indicating the amount of time a delivery driver would need to deliver the orders. The planning system identifies a set of labor blocks from the labor plans and determines whether these blocks satisfy a utilization threshold. Put differently, the planning system uses a releasing policy that releases labor blocks whose expected utilization is higher than a predetermined threshold. The released labor blocks are then displayed to delivery drivers who can then select how many of the labor blocks they would like to work.

Abstract: Example aspects of the present disclosure are directed to computing systems and methods that perform whole person association with face screening and/or face hallucination. In particular, one aspect of the closure is directed to a multi-headed person and face detection model that performs both face and person detection in one model. Each of the face and person detection can find landmarks or other pose information and also a confidence score. The pose information for the face and person detections can be used to select certain face and person detections to associate together as a whole person detection, which can be referred to as an “appearance.

Abstract: Embodiments of the present disclosure generally relate to apparatus and methods for counterbalancing a pumping unit. One embodiment of the present disclosure provides a method for operation a pumping unit. The method includes measuring an orientation of a component and one or more parameters of the pumping unit while running the pumping unit, and determining an imbalance of the pumping unit according to the measured orientation and one or more parameters.

Abstract: Systems and methods for multi-robot gradient-based adaptive navigation are provided.

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: A sealing module for a motor vehicle, comprising at least one elongated profile and at least one seal configured to cooperate with a window of the vehicle, and further comprising a support for supporting at least one electronic equipment, such as a camera. The support can be integral with the profile.

Abstract: Resin systems and methods for making and using same are provided. The method for making a paper product can include contacting a plurality of pulp fibers with a resin system. The resin system can include a first polyamidoamine-epihalohydrin resin and a second resin that can include a second polyamidoamine-epihalohydrin resin, a urea-formaldehyde resin, or a mixture thereof to produce a paper product. The first resin and the second resin can be sequentially or simultaneously contacted with the plurality of pulp fibers. The period for sequential addition between the first resin and the second resin is about 1 second to about 1 hour.

Abstract: According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.