Abstract: A laser-solid-forming manufacturing device includes a laser emitter, a magnetic field generator, and a forming platform. The laser emitter emits a laser beam which acts on a feedstock to form a molten pool. The magnetic field generator includes a spiral copper coil, a first electrode and a second electrode. The spiral copper coil is formed by spirally winding a copper tube. The first and second electrodes are arranged at respective ends of the copper tube and are used for loading a voltage to generate a magnetic field in the spiral copper coil. At any time, the spiral copper coil sleeves an action point of the laser beam and the feedstock. A corresponding laser-solid-forming manufacturing method is also presented.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for neural network architecture search.

Abstract: Computer-implemented methods, apparatuses, and systems are provided for synchronizing data based on a blockchain integrated station. The blockchain integrated station includes a central processing unit (CPU) and an intelligent network card. The intelligent network card includes a processor different from the CPU. The blockchain integrated station serves as a blockchain node of a blockchain network, and the intelligent network card is configured to inquiry other blockchain nodes of the blockchain network on whether there is to-be-synchronized block data; in response to determining that there is the to-be-synchronized block data, pull the to-be-synchronized block data from the other nodes of the blockchain network; and provide the to-be-synchronized block data to the CPU.

Abstract: The present application discloses a battery inspection device. The battery inspection device includes a power supply device, at least one charging port disposed on a surface of the power supply device, at least one display light bar disposed on the surface of the power supply device, and at least one first battery connection line, wherein the first battery connection line is electrically connected to the charging port.

Abstract: One or more embodiments of this specification provide a message transmission method and apparatus applied to a relay node in a blockchain relay communication network. The method includes: receiving, by a relay node in a blockchain relay communication network, a plurality of message packets, each message packet configured to record a partial message content of a message to be transmitted; parsing, by the relay node, the plurality of message packets to obtain encapsulation information of the message to be transmitted, the encapsulation information configured to indicate a type of a blockchain message within the encapsulation information in the message to be transmitted; determining, by the relay node, that the encapsulation information indicates that the blockchain message is a block synchronization message; and forwarding, by the relay node, at least one of the plurality of message packets without receiving all of the plurality of message packets corresponding to the message to be transmitted.

Abstract: Computer-implemented methods, apparatuses, and systems for identifying a to-be-filtered transaction using a blockchain integrated station are provided. The blockchain integrated station includes a central processing unit (CPU); and a smart network card. The smart network card includes a processor different from the CPU. The smart network card is configured to receive a transaction of a blockchain network, wherein the blockchain integrated station is a blockchain node of the blockchain network, and identify a transaction by operations comprising determining whether the transaction satisfies a predetermined filtering condition; and in response to determining that the transaction satisfies the predetermined filtering condition, determining the transaction as a to-be-filtered transaction.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for converting unstructured documents to structured key-value pairs. In one aspect, a method includes: providing an image of a document to a detection model, wherein: the detection model is configured to process the image to generate an output that defines one or more bounding boxes generated for the image; and each bounding box generated for the image is predicted to enclose a key-value pair including key textual data and value textual data, wherein the key textual data defines a label that characterizes the value textual data; and for each of the one or more bounding boxes generated for the image: identifying textual data enclosed by the bounding box using an optical character recognition technique; and determining whether the textual data enclosed by the bounding box defines a key-value pair.

Abstract: A high-energy beam additive manufacturing forming device and forming method, comprising a magnetic field unit for assisting additive forming, and further comprising a forming base (6) for placing a material (12) to be processed, and a high-energy beam generation device which emits a high-energy beam, acts on the material (12) to be processed and forms a molten pool (15). The magnetic field unit comprises a first magnetic field generating device (7), and the first magnetic field generating device (7) comprises an induction coil (20) provided below the molten pool (15).

Abstract: Computer-implemented methods, apparatuses, and system for processing transactions using a blockchain integrated station are provided. The blockchain integrated station includes a central processing unit (CPU) and a smart network card, wherein the smart network card comprises a processor different from the CPU. The smart network card is configured to receive a transaction of a blockchain network, wherein the blockchain integrated station is a blockchain node of the blockchain network; write the transaction into a cache; in a process that the blockchain integrated station participates in a blockchain consensus of the blockchain network, perform consensus interactions with other blockchain nodes of the blockchain network based on the transaction in the cache; determine, based on a result of the blockchain consensus, a to-be-executed transaction list; and send the to-be-executed transaction list to the CPU.

Abstract: One or more embodiments of this specification provide methods and apparatuses for transmitting messages. A method includes: registering, based on a registration request sent by each blockchain node in a blockchain relay communication network, a blockchain node to a blockchain node set indicated by the registration request; determining, in response to receiving a blockchain message to be sent to a target blockchain node set, a target blockchain node registered to the target blockchain node set and a target relay node in the blockchain relay communication network; and transmitting the blockchain message to the target blockchain node through the target relay node.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for neural network architecture search.

Abstract: One or more embodiments of this specification provide methods and apparatuses for transmitting messages. A method includes: determining a blockchain message from two or more message queues stored in a relay node in a blockchain relay communication network based on a message transmission policy, the message transmission policy being configured to transmit blockchain messages in the blockchain relay communication network based upon a priority identifier representing a priority of a blockchain message to be transmitted in the blockchain relay communication network; obtaining identifier from the blockchain message, and determining one or more target blockchain nodes in the blockchain relay communication network corresponding to the identifier; determining a target relay node connected to the one or more target blockchain nodes in the blockchain relay communication network; and transmitting the blockchain message to the one or more target blockchain nodes through the target relay node.

Abstract: A chaotic stirring device combining plasma arc smelting and permanent magnet including a furnace body; the furnace body is provided therein with a water-cooled copper crucible; the center of an upper surface of the water-cooled copper crucible is a groove for placing raw metals, and the water-cooled copper crucible is internally a hollow cavity; a return pipe is disposed directly below the groove in the hollow cavity; an upper end of the return pipe is vertical upward, and is horizontally provided with a filter screen; a spherical magnet is placed between the filter screen and the groove; one side of the water-cooled copper crucible is provided with a first water inlet pipe and a first water outlet pipe; the first water inlet pipe is connected to the hollow cavity, and the first water outlet pipe is connected to the bottom of the return pipe.

Abstract: A computing system for detecting objects in an image can perform operations including generating an image pyramid that includes a first level corresponding with the image at a first resolution and a second level corresponding with the image at a second resolution. The operations can include tiling the first level and the second level by dividing the first level into a first plurality of tiles and the second level into a second plurality of tiles; inputting the first plurality of tiles and the second plurality of tiles into a machine-learned object detection model; receiving, as an output of the machine-learned object detection model, object detection data that includes bounding boxes respectively defined with respect to individual ones of the first plurality of tiles and the second plurality of tiles; and generating image object detection output by mapping the object detection data onto an image space of the image.

Abstract: Methods, systems, and apparatus for optimizing communication in a blockchain network. An example method includes establishing, by a first relay node in the blockchain network, a connection with a first blockchain node in the blockchain network in response to a connection request of the first blockchain node; receiving, by the first relay node, a registration request transmitted by the first blockchain node; generating, by the first relay node, a registration event based on the registration request; updating, by the first relay node, a local routing table based on the registration event; and forwarding, by the first relay node, a message of the first blockchain node to another relay node or another blockchain node in the blockchain network that is connected to the first relay node based on the local routing table.

Abstract: One or more embodiments of this specification provide methods and apparatuses for transmitting messages. A method includes: determining a blockchain message from two or more message queues stored in a relay node in a blockchain relay communication network based on a message transmission policy, the message transmission policy being configured to transmit blockchain messages in the blockchain relay communication network based upon a priority identifier representing a priority of a blockchain message to be transmitted in the blockchain relay communication network; obtaining identifier from the blockchain message, and determining one or more target blockchain nodes in the blockchain relay communication network corresponding to the identifier; determining a target relay node connected to the one or more target blockchain nodes in the blockchain relay communication network; and transmitting the blockchain message to the one or more target blockchain nodes through the target relay node.

Abstract: The present disclosure provides systems and methods that include or otherwise leverage an object detection training model for training a machine-learned object detection model. In particular, the training model can obtain first training data and train the machine-learned object detection model using the first training data. The training model can obtain second training data and input the second training data into the machine-learned object detection model, and receive as an output of the machine-learned object detection model, data that describes the location of a detected object of a target category within images from the second training data. The training model can determine mined training data based on the output of the machine-learned object detection model, and train the machine-learned object detection model based on the mined training data.

Abstract: The present invention relates to the technical field of orientation of radiation sources. The present invention discloses a method for orientating a radiation source based on irradiance.