Abstract: A system for bipartite matching may: receive a first set of first objects and a second set of second objects; create a minimum priority queue for each unmatched first object of the first set of first objects, wherein the minimum priority queue for each unmatched first object of the first set of first objects comprises unmatched second objects of the second set of second objects; determine a first set of edge data in which lower-bound reduced costs for matching each unmatched first object with the unmatched second objects is less than or equal to zero; determine an exact cost of each edge data in the first set of edge data; and match each unmatched first object of the first set of first objects with an unmatched second object based on the exact cost of each edge data in the first set of edge data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform a machine learning task using a momentum and sign based optimizer.

Abstract: The present invention discloses a special hydraulic press for bulging pressing forming of an automobile axle housing and a pressing forming method. A hydraulic press body is a closed frame consisting of an upper cross beam, a lower cross beam, four stand columns I, II, III, and IV, four vertical pull rods I, II, III, and IV, and four transverse pull rods I, II, III, and IV, and is used for balancing a deformation force up to 3000 T in the vertical direction or the horizontal direction in the pressing forming process. During pressing forming, the downward speeds of a main hydraulic cylinder, small left and right vertical hydraulic cylinders are precisely controlled to prevent the left end, the right end and the middle of the tube blank from bending.

Abstract: A distributed database management system includes a centralized management module for managing resources within a customer network. The management module software, e.g., vCenter, or a health state plugin of the management module, accesses health state information from distributed database nodes within the customer network. The health state information may be or may include a simple signal, analogous to a heartbeat signal, that each functional node generates periodically and sends to the management module. The nodes may include a primary node to maintain a database and one or more secondary nodes to replicate the database. The primary and secondary nodes may be nodes within an edge node cluster of the customer network. The edge node cluster may be implemented within an infrastructure appliance, e.g., VxRail. The management module shares the health state information with the nodes and controls, based on the health state information, the designation of a primary node and secondary nodes.

Abstract: The disclosure provides a method for preparing an amphiphilic lignin nanomaterial based on pulping black liquor, an amphiphilic lignin nanomaterial, and an oil sludge detergent. In the disclosure, physical treatments such as ball milling and high-pressure jet homogenization treatment are conducted on alkali lignin at the early stage to adjust the molecular weight and size of alkali lignin and thus to give alkali lignin nanoparticles with uniform particle sizes; and on this basis, a chemical treatment such as alkylation grafting modification is conducted to give amphiphilic lignin nanoparticles with both hydrophilicity and lipophilicity. Due to the nano-size effect, the amphiphilic lignin nanomaterial has a significantly-increased specific surface area (SSA) and effectively-improved surface properties, which can reduce the oil-water interfacial tension, and emulsify the crude oil and peel off the crude oil from the surface of rock particles, so as to achieve the purpose of oil-solid separation.

Abstract: A computer-implemented method for determining whether an electric vehicle (EV) requires a current charge. The method analyzes a set of EV data, wherein the set of EV data comprises a battery level, a destination, a current position, and a predicted arrival time to the destination. The method further constructs a charging regulation model for the EV, based on the analyzed set of EV data. The method further computes a risk score pertaining to charging the EV, based on the constructed charging regulation model for the EV, and determines whether the EV requires a current charge based on the computed risk score. The method further engages one or more wireless charging points on a roadway, if the computed risk score is below a threshold value.

Abstract: Various embodiments of the present disclosure are directed towards a semiconductor device. The semiconductor device comprises a source region and a drain region in a substrate and laterally spaced. A gate stack is over the substrate and between the source region and the drain region. The drain region includes two or more first doped regions having a first doping type in the substrate. The drain region further includes one or more second doped regions in the substrate. The first doped regions have a greater concentration of first doping type dopants than the second doped regions, and each of the second doped regions is disposed laterally between two neighboring first doped regions.

Abstract: A disclosed method for managing access control in cloud based environment with on-premises and off-premises access portals includes storing account mapping information, indicative of an association between on-premises accounts off-premises accounts, to a lockbox in each of the plurality of clusters and deploying an off-premises agent in each of the clusters. One or more of the clusters may exist within a hyper-converged infrastructure system. Each off-premises agent may be configured to retrieve cluster access information indicative of access permissions for the on-premises node cluster and upload the cluster access information to an off-premises access control service. The access permissions for the on-premises cluster and the off-premises access permissions may comprise role based access permissions.

Abstract: A secured virtual container is enabled to securely store personal data corresponding to a user, where such data is inaccessible to processes running outside the secured virtual container. The secured virtual container may also include an execution environment for a machine learning model where the model is securely stored and inaccessible. Personal data may be feature engineered and provided to the machine learning model for training purposes and/or to generate inference values corresponding to the user data. Inference values may thereafter be relayed by a broker application from the secured virtual container to applications external to the container. Applications may perform hyper-personalization operations based at least in part on received inference values. The broker application may enable external applications to subscribe to notifications regarding availability of inference values. The broker may also provide inference values in response to a query.

Abstract: A semiconductor structure is disclosed. The semiconductor structure includes: a substrate of a first conductivity; a first region of the first conductivity formed in the substrate; a second region of the first conductivity formed in the first region, wherein the second region has a higher doping density than the first region; a source region of a second conductivity formed in the second region; a drain region of the second conductivity formed in the substrate; a pickup region of the first conductivity formed in the second region and adjacent to the source region; and a resist protective oxide (RPO) layer formed on a top surface of the second region. An associated fabricating method is also disclosed.

Abstract: A secured virtual container is enabled to securely store personal data corresponding to a user, where such data is inaccessible to processes running outside the secured virtual container. The secured virtual container may also include an execution environment for a machine learning model where the model is securely stored and inaccessible. Personal data may be feature engineered and provided to the machine learning model for training purposes and/or to generate inference values corresponding to the user data. Inference values may thereafter be relayed by a broker application from the secured virtual container to applications external to the container. Applications may perform hyper-personalization operations based at least in part on received inference values. The broker application may enable external applications to subscribe to notifications regarding availability of inference values. The broker may also provide inference values in response to a query.

Abstract: The devices, systems, and methods described herein enable automatically configuring an electronic device using artificial intelligence (AI). The devices, systems, and methods enable accessing telemetry data representing device usage data, inputting the accessed telemetry data into machine learning models that are matched to device metadata, and determining notifications to publish to components of the electronic device. The notifications represent events predicted to occur on the electronic device. The notifications are published to the components of the electronic device such that the electronic device is configured according to the published notifications. The determined notifications enable the identification of optimal settings for the electronic device based on the usage pattern of the device and enable components of the electronic device to preemptively take action on events which are predicted to occur in the future.

Abstract: A semiconductor device includes a semiconductor substrate, a gate dielectric, a gate electrode, and a pair of source/drain regions. The gate dielectric is disposed in the semiconductor substrate having an upper boundary lower than an upper surface of the semiconductor substrate, and an upper surface flush with the upper surface of the semiconductor substrate. The gate electrode is disposed over the gate dielectric having a first section over the upper boundary of the gate dielectric and a second section over the upper surface of the gate dielectric. The second section partially covers and partially exposes the upper surface of the gate dielectric. The pair of source/drain regions are disposed on opposing sides of the gate dielectric.

Abstract: A method for searching for an output machine learning (ML) algorithm to perform an ML task is described. The method includes: receiving a set of training examples and a set of validation examples, and generating a sequence of candidate ML algorithms to perform the task. For each candidate ML algorithm in the sequence, the method includes: setting up one or more training parameters for the candidate ML algorithm by executing a respective candidate setup function, training the candidate ML algorithm by processing the set of training examples using a respective candidate predict function and a respective candidate learn function, and evaluating a performance of the trained candidate ML algorithm by executing the respective candidate predict function on the set of validation examples to determine a performance metric. The method includes selecting a trained candidate ML algorithm with the best performance metric as the output ML algorithm for the task.

Abstract: A method for allocating virtual reward resources performed by an electronic device are provided. The method includes: obtaining behavior information of each virtual character in a target camp during a teamfight of a game, the target camp including at least one virtual character, the behavior information being a behavior applied by each virtual character in the target camp to a virtual object, and the virtual object being a virtual character in at least one of the target camp or an enemy camp; determining, according to the behavior information, contribution information achieved by each virtual character in the target camp during the teamfight; determining, according to the contribution information, a target virtual character and a target virtual reward resource corresponding to the target virtual character from at least one virtual character included in the target camp; and updating attribute information of the target virtual character according to the target virtual reward resource.

Abstract: The present invention features new waveguide layouts for input, redirection (expansion), and output holograms that minimize cross talk between colors and allow all three colors to reside in a single waveguide. The use of multiple incoupling holograms that diffract different colors of light in different directions, or along different paths, through a waveguide substrate advantageously provides for a reduction of cross-talk between the colors of a holographic image. In a square-shaped design, red, green, and blue input and output holograms approximately overlay on top of each other. The green redirection hologram is laterally separated from the red and blue redirection holograms. Using this square-shape design, the light beams for the three colors are separated into two paths propagating from input to output holograms.

Abstract: A semiconductor structure is disclosed. The semiconductor structure includes: a substrate of a first conductivity; a first region of the first conductivity formed in the substrate; a second region of the first conductivity formed in the first region, wherein the second region has a higher doping density than the first region; a source region of a second conductivity formed in the second region; a drain region of the second conductivity formed in the substrate; a pickup region of the first conductivity formed in the second region and adjacent to the source region; and a resist protective oxide (RPO) layer formed on a top surface of the second region. An associated fabricating method is also disclosed.

Abstract: A method to form a transistor device with a recessed gate structure is provided. In one embodiment, a gate structure is formed overlying a device region and an isolation structure. The gate structure separates a device doping well along a first direction with a pair of recess regions disposed on opposite sides of the device region in a second direction perpendicular to the first direction. A pair of source/drain regions in is formed the device region on opposite sides of the gate structure. A sidewall spacer is formed extending along sidewalls of the gate structure, where a top surface of the sidewall spacer is substantially flush with the top surface of the gate structure. A resistive protection layer is then formed on the sidewall spacer and covering the pair of recess regions.

Abstract: The present disclosure provides a method for preparing nitrogen oxide gas sensor based on sulfur-doped graphene. The method includes: 1) providing graphene and a micro heater platform substrate, and transferring the graphene onto the micro heater platform substrate; 2) putting the micro heater platform substrate covered with the graphene into a chemical vapor deposition reaction furnace; 3) performing gas feeding and exhausting treatment to the reaction furnace by using inert gas; 4) simultaneously feeding inert gas and hydrogen gas into the reaction furnace at a first temperature; 5) feeding inert gas, hydrogen gas and sulfur source gas into the reaction furnace at a second temperature for reaction to perform sulfur doping to the graphene (21); and 6) stopping feeding the sulfur source gas, and performing cooling in a hydrogen gas and insert gas shielding atmosphere.

Abstract: The devices, systems, and methods described herein enable automatically configuring an electronic device using artificial intelligence (AI). The devices, systems, and methods enable accessing telemetry data representing device usage data, inputting the accessed telemetry data into machine learning models that are matched to device metadata, and determining notifications to publish to components of the electronic device. The notifications represent events predicted to occur on the electronic device. The notifications are published to the components of the electronic device such that the electronic device is configured according to the published notifications. The determined notifications enable the identification of optimal settings for the electronic device based on the usage pattern of the device and enable components of the electronic device to preemptively take action on events which are predicted to occur in the future.