Abstract: A memory device including bit lines, auxiliary lines, selectors, and memory cells is provided. The word lines are intersected with the bit lines. The auxiliary lines are disposed between the word lines and the of bit lines. The selectors are inserted between the bit lines and the auxiliary lines. The memory cells are inserted between the word lines and the auxiliary lines.

Abstract: A substrate structure including a first substrate and a second substrate is provided. The first substrate includes a first core layer and a first conductor. The second substrate includes a second core layer and a second conductor. There is a metal diffusion bonding interface between the first conductor and the second conductor. There is a covalent bonding interface between the first core layer and the second core layer.

Abstract: A circuit board and a method of manufacturing the same are provided. The circuit board includes two circuit substrates and a conductive layer. The circuit substrates are stacked on each other, while each of the circuit substrates includes an insulation substrate and a conductive via which is disposed inside the insulation substrate. Two opposite sides of the insulation substrate are connected to each other through the conductive via. The conductive layer is disposed between the conductive vias, and the conductive vias are electrically connected to each other through the conductive layer which includes the nanoporous structure.

Abstract: A multilevel-cache-based data processing method is provided, which is applied to a server computing device. The server computing device includes a first-level cache and a second-level cache. The first-level cache includes a plurality of first-type storage nodes. The second-level cache includes a plurality of second-type storage nodes. The data processing method includes identifying a target node based on a current hash ring in response to receiving a read request; determining whether the target node is any one of the plurality of first-type storage nodes; and in response to determining that the target node is not any one of the plurality of first-type storage nodes, reading response data from the plurality of second-type storage nodes for responding to the read request, and returning the response data. According to the method, a speed of responding to the read request can be increased, and pressure of the first-level cache can be reduced.

Abstract: The present invention is inter alia concerned with an inhibitor selected from the group consisting of a selective KMT9-inhibitor, a selective METTL21A-inhibitor and a selective METTL21B-inhibitor for use in the treatment of cancer. KMT9, METTL21A and METTL21B are characterized herein for the first time as histone methyl transferases, and inhibitors of the same can be used for treating cancer.

Abstract: Embodiments of the present application provide a data processing method, system, device and storage medium, where a processing request for target data sent by a requesting party having an access permission is received; a first identifier of a first user to which the target data belongs and a second identifier of the requesting party are obtained; a data processing rule pre-agreed upon by the first user and the requesting party is searched for according to the first identifier and the second identifier; and when a processing operation specified by the processing request complies with the data processing rule, the target data is processed according to the data processing rule to feedback corresponding response information to the requesting party, which can meet processing requirements of the requesting party for the target data, and effectively improve security protection effect during a process in which the target data is secure processing.

Abstract: A multi-layered resonator circuit structure and a multi-layered filter circuit structure. The multi-layered resonator circuit structure includes a multi-layered substrate, a plurality of resonators and a plurality of conductive components. The multi-layered substrate has a top surface, a bottom surface, and a ground layer. The top surface and the bottom surface face away from each other. The ground layer is located between the top surface and the bottom surface. A part of the plurality of resonators is/are disposed on the top surface. Another part of the plurality of resonators is/are disposed on the bottom surface. The plurality of conductive components is located in the multi-layered substrate. The plurality of resonators is electrically connected to the ground layer, respectively, via the plurality of conductive components.

Abstract: A ciphertext hybrid operation method and apparatus are disclosed.

Abstract: Systems, methods, and computer program products are provided for generating and improving multitask learning models. An example method includes determining a first accuracy metric based on at least two machine learning models performing a plurality of tasks, receiving a multitask learning model including at least one shared layer and a plurality of task-specific layers, determining a second accuracy metric based on the multitask learning model having a first number of shared layers, determining a third accuracy metric based on the multitask learning model having a second number of shared layers, comparing the accuracy metrics, repeating until at least one termination condition is satisfied, and determining a target number of shared layers for the multitask learning model based on at least one of the second accuracy metric, the third accuracy metric, the first number of shared layers, the second number of shared layers, or any combination thereof.

Abstract: A substrate structure includes a substrate and a vertical conductive connector. The substrate includes a material with a heat resistance temperature of 300° C. or greater. The vertical conductive connector penetrates through the substrate. The vertical conductive connector has a bonding structure extending toward the substrate. A manufacturing method of the substrate structure is also provided.

Abstract: The present disclosure provides an optical integrated device and an optical time domain reflectometer. The optical integrated device includes: a packaging outer shell, a first collimator, an optical splitting device, a circulator assembly and a second collimator. The optical splitting device is provided close to the first collimator, is used to reflect a part of the detecting light from the first pigtail and couple the part of the detecting light to the third pigtail, and allows the other part of the detecting light to pass through the optical splitting device. The circulator assembly is provided close to the optical splitting device, the circulator assembly is used to couple the detecting light passing through the optical splitting device to the second pigtail, and couple the detecting light returned from the second pigtail to the third pigtail.

Abstract: Methods for forming under-bump metallurgy (UBM) structures having different surface profiles and semiconductor devices formed by the same are disclosed. In an embodiment, a semiconductor device includes a first redistribution line and a second redistribution line over a semiconductor substrate; a first passivation layer over the first redistribution line and the second redistribution line; a first under-bump metallurgy (UBM) structure over and electrically coupled to the first redistribution line, the first UBM structure extending through the first passivation layer, a top surface of the first UBM structure being concave; and a second UBM structure over and electrically coupled to the second redistribution line, the second UBM structure extending through the first passivation layer, a top surface of the second UBM structure being flat or convex.

Abstract: A methodology is used to quantify implications and/or footprints of carbon, water, and/or nutrients of a particular crop in a region on a large scale and at field-level. A methodology is used to quantify, calculate, and/or visualize cover crop traits, tillage practices, and/or their outcomes at large scale. A methodology is used to accurately derive, estimate, and/or predict large-scale, long-term, and field-level cover crop adoption and biomass information using remote sensing time series.

Abstract: The present invention provides an intelligent system for warehouse fulfillment operators, including a supplier intelligent management module for providing supplier numbers, a warehouse intelligent management module for providing operator information and operator level information, and an operator intelligent management module for retrieving the operator information and the operator level information and generating the most suitable operator through artificial intelligence computation to prevent warehouse personnel from choosing suboptimal operators and to enhance warehouse management efficiency.

Abstract: An intelligent warehouse storage bin allocation system includes a goods information unit having goods information; a warehouse information unit having storage bin information; a data transmission unit for receiving and transmitting the goods information and the storage bin information to an intelligent computing unit for generating a goods label unit and a storage bin label unit; a storage unit for storing content of the goods label unit and the storage bin label unit; and a terminal unit having an acquiring unit, a display unit, an instruction unit, and a comparison unit. When the comparison unit determines a match between the goods label unit and the storage bin label unit, the terminal unit displays a shelving-approved command and a specified warehouse position for the goods. Through this system, effective and precise intelligent allocation of goods during the shelving and retrieval processes can be achieved, improving work efficiency.

Abstract: The present invention provides an artificial intelligence warehouse management transshipment system, including a transshipment goods unit, a terminal unit, a data transmission unit and a management unit. The management unit has an artificial intelligence computing unit and a transshipment order integration unit. The data transmission unit sends the content of the transshipment goods unit acquired by an acquiring unit of the terminal unit to the artificial intelligence computing unit. After artificial intelligence computation, the artificial intelligence computing unit generates a plurality of transshipment orders each corresponding to each batch of transshipment goods. The transshipment order integration unit can consolidate related ones of the plurality of transshipment orders into a single delivery order. Through the delivery order, the transshipment goods with the same attributes can be loaded into the same container and transported in the same trip, eliminating the need for round-trip delivery.

Abstract: An artificial intelligence quotation system includes an internet equipment; a processing unit that is matched with the internet equipment. The internet equipment includes a central processor, an artificial intelligence software, a quotation software and a database. The quotation software includes quotation service objectives which include a quoting, a diverse service, a transportation route, a real-time data, a visualization and comparison tool, an automated quoting, a security, and a compliance. The central processor drives the artificial intelligence software which receives input data, and the artificial intelligence software searches data through the internet equipment and calculates a final quotation and provides services. The database stores historical query data from the artificial intelligence software.

Abstract: A method for determining an image-metric of features on a substrate, the method including: obtaining a first image of a plurality of features on a substrate; obtaining one or more further images of a corresponding plurality of features on the substrate, wherein at least one of the one or more further images is of a different layer of the substrate than the first image; generating aligned versions of the first and one or more further images by performing an alignment process on the first and one or more further images; and calculating an image-metric in dependence on a comparison of the features in the aligned version of the first image and the corresponding features in the one or more aligned versions of the one or more further images.

Abstract: A booster engine enhances the quality of a frame sequence. The booster engine receives, from a first stage circuit, the frame sequence with quality degradation in at least a frame. The quality degradation includes at least one of uneven resolution and uneven frame per second (FPS). The booster engine queries an information repository for reference information on the frame, using a query input based on at least a region of the frame to obtain a query output. The booster engine then applies a neural network to the query input and the query output to generate an optimized frame, and sends an enhanced frame sequence including the optimized frame to a second stage circuit.

Abstract: A process of fulfilling a database deployment request for a data platform. A compute service manager of the data platform scans one or more accounts of a consumer region of the data platform for a pending listing fulfillment request, where the pending listing request includes a request for deployment of a consumer database and an associated share of grant metadata of the consumer database within the consumer region. When the compute service manager determines that an account of the one or more accounts has a pending listing fulfillment request, the compute service manager determines a listing for the pending listing fulfillment request based on listing data of the account. The compute service manager determines that no other fulfillment task is scheduled for the pending listing fulfillment request and schedules a background fulfillment task to perform the fulfillment process for the pending listing fulfillment request.