Abstract: A fluid distribution system is incorporated into a server chassis. Connector plates have fluid connectors designed to connect with fluid cooling receptacles on server boards. A linkage system can be manually manipulated to translate the connector plates so as to engage the electronics boards and connect the fluid connectors to the receptacle. A pair of main connectors connect to the rack's fluid manifold to circulate cooling fluid to cool devices mounted onto the server boards. A locking mechanism can be included to mechanically lock the chassis to the rack to prevent accidental dismount of the chassis from the rack. Also, an anchor mechanism may be provided to apply counter force when engaging the connector plates with the server boards so as to prevent accidental dismount of the server board by the moving connector plate.

Abstract: Implementations utilize deep reinforcement learning to train a policy neural network that parameterizes a policy for determining a robotic action based on a current state. Some of those implementations collect experience data from multiple robots that operate simultaneously. Each robot generates instances of experience data during iterative performance of episodes that are each explorations of performing a task, and that are each guided based on the policy network and the current policy parameters for the policy network during the episode. The collected experience data is generated during the episodes and is used to train the policy network by iteratively updating policy parameters of the policy network based on a batch of collected experience data. Further, prior to performance of each of a plurality of episodes performed by the robots, the current updated policy parameters can be provided (or retrieved) for utilization in performance of the episode.

Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.

Abstract: Examples of the present disclosure relate to hostname pre-localization. In examples, a service uses a content distribution network (CDN) to provide at least a part of the computing functionality associated with the service. A pre-localized hostname may be used to direct the client computing device to a specific edge server of the CDN that is associated with the computing functionality. In examples, a service receives an initiation request from a client computing device for the computing functionality provided by the CDN. The service generates a pre-localization request comprising pre-localization information and provides the pre-localization request to the CDN. Accordingly, the CDN generates a pre-localized hostname associated with an edge server based on the pre-localization information. The pre-localized hostname is provided to the service, which is then provided to the client computing device, thereby directing the client computing device to the specific edge server of the CDN.

Abstract: A cargo space cover for a vehicle, the cargo space cover comprising a body comprising a first panel, a second panel, a tote bottom, a first tote wing, and a second tote wing; and at least one coupling portion. The cargo space cover operates in a cover configuration and a tote configuration. While the at least one coupling portion of each the first edge of the first panel and the second edge of the second panel each couple to an a first side wall of the interior of the vehicle and a second side wall of the interior of the vehicle, the cargo space cover is held in the cover configuration. While two of the first panel, the second panel, and the tote bottom operably couple to each of the first tote wing and the second tote wing the cargo space cover is held in the tote configuration.

Abstract: The present invention provides antibodies and antigen-binding fragments thereof that bind to ILT4 (immunoglobulin-like transcript 4) and combinations thereof, e.g., with an anti-PD1 antibody. Also provided are methods of use thereof, for example, for treating or preventing cancer in a subject; and methods of making such antibodies and fragments.

Abstract: The present invention relates to the composition and production of an engineered degradable metal matrix composite that is useful in constructing temporary systems requiring wear resistance, high hardness, and/or high resistance to deformation in water-bearing applications such as, but not limited to, oil and gas completion operations.

Abstract: A method increases user interaction with deep learning agents. A generation request for a content slot is received. A subsequent tag vector, for the content slot, is generated from a previous tag, for a previous content slot, using a subsequent tag model. A context vector is generated from a set of subsequent tag vectors, which include the subsequent tag vector, using a context vector generator. A selection vector is generated from the context vector using a contextual bandit model. A content set is generated for a content slot using the selection vector. The content set for the content slot is presented.

Abstract: A secondary electron emissive layer resistant to infiltration and fouling. A barrier layer is formed by atomic layer deposition. The barrier layer may be an emissive layer and/or an interlayer. The barrier layer may form an interlayer that is a part of an electron amplifier positioned between an emissive layer and a resistive layer. The barrier layer is resistive to fluorine migration from either the emissive layer or the resistive layer.

Abstract: A method for controlling an activation state of a braking-torque assistance system for reducing intake of braking energy in a service-brake system of a vehicle includes capturing and evaluating a plurality of demand indications for a startup of the braking-torque assistance system. If the evaluation of the captured plurality of demand indications reveals a demand for the startup of the braking-torque assistance system, a plurality of operating conditions of the service-brake system are captures and evaluated over a monitoring period. If, in turn, the evaluation of the captured plurality of operating conditions reveals that an overheating of the service-brake system is imminent, the braking-torque assistance system is actuated and one or more deactivation conditions of the braking-torque assistance system are checked. If the deactivation conditions are satisfied, the braking-torque assistance system is deactivated.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources that include person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on a person corpus derived from at least one data source private to the person, obtaining a second set of suggestions based on information from an additional data source, ranking the first and second sets of suggestions to generate a ranked list of suggestions, and presenting at least some of the ranked suggestions.

Abstract: Methods, apparatuses, and systems for performing machine learning (ML) for robotic arthroscopic surgery are disclosed. The disclosed systems use ML to provide recommendations and methods for automated robotic ankle arthroscopic surgery. Historical patient data is filtered to match particular parameters of a patient. The parameters are correlated to the patient. A robotic surgical system or a surgeon reviews the historical patient data to select or adjust the historical patient data to generate a surgical workflow for a surgical robot to perform the robotic arthroscopic surgery.

Abstract: A favorable merging or grouping of simply connected regions into which the array of information samples is sub-divided, is coded with a reduced amount of data. To this end, a predetermined relative locational relationship is defined enabling an identifying, for a predetermined simply connected region, of simply connected regions within the plurality of simply connected regions which have the predetermined relative locational relationship to the predetermined simply connected region. Namely, if the number is zero, a merge indicator for the predetermined simply connected region may be absent within the data stream. In other embodiments, spatial sub-division is performed depending on a first subset of syntax elements, followed by combining spatially neighboring simply connected regions depending on a second subset of syntax elements, to obtain an intermediate sub-division.

Abstract: A method of substitutional neural residual compression is performed by at least one processor and includes estimating motion vectors, based on a current image frame and a previous reconstructed image frame, obtaining a predicted image frame, based on the estimated motion vectors and the previous reconstructed image frame, and subtracting the obtained predicted image frame from the current image frame to obtain a substitutional residual. The method further includes encoding the obtained substitutional residual, using a first neural network, to obtain an encoded representation, and compressing the encoded representation.

Abstract: An ammonia capture and recovery system comprises five process steps, including an ammonia removal step, an ammonia recovery step, a product granulation step, a granulated product wax-coating step, and a granulated product encapsulation step. These steps are modular in that multiple approaches are valid for each step if it meets the process requirements for the next influent. Also, a method of taking ammonia-containing wastewater and producing several water fractions (preferably of decreasing volume and increasing purity) and a time-release ammonium-containing fertilizer, resulting in a sustainable nitrogenous fertilizer product that reduces fertilizer use and subsequent nutrient runoff while being produced from wastewater and not fossil fuel or hydrogen sources.

Abstract: A method of controlling the performance of a night vision device includes supplying, by a power supply, to a microchannel plate of a light intensifier tube, a control voltage that controls a gain of the microchannel plate, determining an amount of compensation to apply to the control voltage based on a change to the control voltage attributed to a change in temperature of an operating environment of the night vision device, adjusting the control voltage in accordance with the amount of compensation to obtain a compensated control voltage, and supplying, by the power supply, the compensated control voltage to the microchannel plate of the light intensifier tube. The method may further include determining whether the night vision device has been used for a predetermined amount of time, and only after that predetermined amount of time, is the method configured to supply the compensated control voltage.

Abstract: Embodiments disclosed herein relate to a model for predicting the release profile of a controlled release device. The implant modeling system and models disclosed herein allow the accurate prediction of a release profile for a controlled release device based on features extracted from micro-resolution imagery. The models combine microstructural features that can be extracted at the XRCT resolution, including pore volume and connectivity, using erosion-dilation image analysis. This strategy allows prediction of release curves of the controlled release device using XRCT despite its resolution limitations.

Abstract: Quantum satellite-based global networks are provided. A system as provided herein includes a processor and a memory that stores first executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising receiving qubits from a quantum sensor device via a quantum communication channel established between the system and the quantum sensor device; providing quantum input data, derived from the qubits, to a quantum machine learning model; and adjusting a property of a communication network based on an output of the quantum machine learning model, produced in response to the providing of the quantum input data, resulting in an increased performance of a mobile application utilizing resources enabled via the communication network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a virtual intercom. In some implementations, a request from a visitor device to communicate with an occupant of a particular unit of the facility is received. A location of the visitor device is received. Based on the received location, it is determined that the visitor device is within a predetermined bounded area. An occupant profile is identified based on the received request. Information associated with the occupant profile is obtained. Based on the obtained information, it is determined the occupant has registered a profile. Based on the obtained information, a communication path to an occupant device is identified. The request from the visitor device is sent, using the communication path, to an occupant device belonging to the occupant. A response from the occupant device is received. Based on the response, an action is performed.