Abstract: A semiconductor device and method of fabricating the same, the semiconductor device includes a substrate, a metal gate structure, at least one dummy body, two source/drain regions, and a dielectric layer. The metal gate structure is disposed on the substrate. The at least one dummy body is disposed within the metal gate structure. The source/drain regions are disposed at two sides of the metal gate structure respectively in the substrate. The dielectric layer is disposed on the substrate, around the metal gate structure.

Abstract: Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (201); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information (202) of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

Abstract: A photovoltaic module, which includes a module, a module frame, a mounting piece, and a power converter. The module covers the module frame. The module frame includes a plurality of frame sides. Each frame side extends in a direction away from the module. The plurality of frame sides are sequentially connected to enclose accommodation space of the module frame. Both the mounting piece and the power converter are located in the accommodation space. The mounting piece includes a fastening portion and a support plate that are connected to each other. The fastening portion is connected to a side wall that is of one frame side and that faces the accommodation space. The support plate extends toward an inside of the accommodation space in a direction away from the fastening portion. The power converter is detachably connected to the support plate.

Abstract: The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.

Abstract: A portable electronic device including a first body, a second body, and a light module is provided. The second body is pivotally connected to the first body. The light module is adjacent to the second body and is disposed on the first body. The light module includes a frame, a light guide plate, a light source, a patterned light guide film, and a light-transmitting cover plate. The frame is disposed on the first body. The light guide plate is disposed in the frame and has a light incident surface and a light emitting surface. The light source is disposed in the frame as corresponding to the light incident surface of the light guide plate. The patterned light guide film is detachably disposed on the light guide plate and covers the light emitting surface. The light-transmitting cover plate is detachably disposed on the frame and covers the patterned light guide film.

Abstract: The present disclosure discloses a gradient single-crystal positive electrode material, which has a chemical formula of LiNixCoyA1-x-yO2@mLiaZbOc, wherein 0<x<1, 0<y<1, 0<x+y<1, 0<m<0.05, 0.3<a?10, 1?b<4, and 1?c<15, A is at least one of Mn, Zr, Sr, Ba, W, Ti, Al, Mg, Y, and Nb, and Z is at least one of B, Al, Co, W, Ti, Zr, and Si. The atomic ratio of the content of Co on the surface of the single-crystal positive electrode material particle to the content of Ni+Co+A on the surface is greater than 0.4 and less than 0.8, and the atomic ratio of Co at a depth 10% of the radius from the surface of the single crystal positive electrode material particle is not less than 0.3; and the single-crystal positive electrode material particle has a roundness of greater than 0.4, and is free from sharp corners.

Abstract: Applications of artificial intelligence (AI) in industrial automation have focused mainly on the runtime phase due to the availability of large volumes of data from sensors. Methods, systems, and apparatus that can use machine learning or artificial intelligence (AI) to complete automation engineering tasks are described herein.

Abstract: The present disclosure relates to a method, a device, and related products for processing data. In an embodiment of the present disclosure, when processing data related to a neural network, an optimal truncation threshold value for a plurality of pieces of data is determined. The data is truncated through the truncation data threshold, and the plurality of pieces of data is quantized from a high-precision format to a low-precision format. The method in the present disclosure can ensure the precision of data processing as high as possible while reducing the amount of data processing. In addition, the method also helps to significantly reduce the amount of data transmission, thereby greatly accelerating the data exchange among a plurality of computing devices.

Abstract: Provided is an air conditioner that can include a housing, a protruding portion protruding outwardly from the housing and defining an accommodating cavity, and a controller, at least a portion of the controller being arranged in the accommodating cavity, wherein: the protruding portion is provided with an operating hole communicated with the accommodating cavity, an operating surface of the controller is arranged in the operating hole so that the operating surface is exposed, or the operating surface of the controller is arranged on an outer side surface of the protruding portion.

Abstract: The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.

Abstract: Systems and methods for oxidizing phenolic cannabinoids with fuel cells are described. The oxidation processes for phenolic cannabinoids and/or ?9-THC can be detected and the concentration of phenolic cannabinoids and/or ?9-THC can be reported directly with fuel cells. Many embodiments provide integrating cannabinoid fuel cells into marijuana breathalyzer devices.

Abstract: Disclosed is a power supply base for a decorative lamp. A female plug is mounted, in a mounting chamber of a base, a terminal of the female plug is located in a cavity of the base and is connected to a power supply in the cavity, and exposed wires are all hidden in the cavity of the base, so that current is introduced to the decorative lamp mounted above the power supply base, thereby achieving, the free plugging and unplugging of the decorative lamp and the power supply base. The present invention has the advantages of simple structure, reasonable design, convenient use and the like, thereby improving the safety.

Abstract: Provided is the use of Notch signaling inhibitors such as ?-secretase inhibitors (GSIs), which increase expression of uncoupling protein-1 (UCP-1), to selectively increase browning of white adipose tissue, for example, in the treatment of obesity and metabolic disorders such as type 2 diabetes mellitus (T2DM), fatty liver disease, atherosclerosis, and others, including comorbidities thereof.

Abstract: An embodiment of the present disclosure provides an operation apparatus which includes a storage unit, a control unit and a compute unit. The technical solution provided in this disclosure can reduce resource consumption of convolution operation, improve the speed of convolution operation and reduce operation time.

Abstract: A preparation method for the carrier, includes: 1) mixing hydrated alumina with an organic acid to obtain a mixture A; and 2) adding tetraalkylsiloxane to the mixture A, thus obtaining a mixture B; stirring the mixture B in a closed condition; spraying atomized water into the mixture B; and stirring to yield the carrier.

Abstract: The present disclosure provides a winograd convolution operation method, a winograd convolution operation apparatus, a device, and a storage medium. The apparatus includes: processors and a memory, where the memory is configured to store a program code, and the processors are configured to call the program code stored in the memory and execute the operation method. Through the operation method, a system, the device and the storage medium of the present disclosure, performance loss of a computer system may be reduced, and operation speed may be improved. Through the present disclosure, processing efficiency may be improved.

Abstract: This disclosure relates to a data processing method, a data processing apparatus, and related products. The products include a control unit. The control unit includes: an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is used for storing a calculation instruction associated with an artificial neural network computation; the instruction processing unit is used for parsing the calculation instruction to obtain a plurality of computation instructions; and the storage queue unit is used for storing an instruction queue, where the instruction queue includes the plurality of computation instructions or calculation instructions to be executed according to a front-back sequence of a queue. Through the above method of this disclosure, computation efficiency of the related products during a neural network model computation may be improved.

Abstract: Applications of artificial intelligence (AI) in industrial automation have focused mainly on the runtime phase due to the availability of large volumes of data from sensors. Methods, systems, and apparatus that can use machine learning or artificial intelligence (AI) to complete automation engineering tasks are described herein.