Abstract: A method for managing a live-streaming room comprises displaying a first live-streaming interface of a live-streaming room by a first terminal; detecting a first operation through the first live-streaming interface; and sending a first instruction to a live-streaming server in response to the first operation, wherein the live-streaming server is configured to send the first instruction to a second terminal, the first instruction instructs the second terminal to perform a synchronization operation with the first terminal.

Abstract: Example methods are provided for a host to perform authentication offload in a virtualized computing environment that includes the host and a destination server. The method may comprise detecting, from a virtualized computing instance, a packet destined for the destination server. The method may also comprise: in response to determination that the detected packet is an authentication request, obtaining, from the virtualized computing instance, metadata associated with a client application for which authentication is requested; and sending the authentication request and the metadata to the destination server to cause the destination server to authenticate the client application based on the metadata.

Abstract: An ester compound which can be used as the additive of the lubricating oil or the base oil of the lubricating oil, and a process for preparing the same and use thereof are provided. The ester has excellent viscosity-temperature properties and low-temperature properties and can be used as the base oil of the lubricating oil. In addition, the ester compound has excellent viscosity-temperature properties and low-temperature properties as the viscosity index improver, can significantly reduce the wear scar diameter of the base oil as the anti-wear agent, can significantly reduce the friction coefficient of the base oil as the friction modifier, and exhibits excellent anti-wear and anti-friction properties.

Abstract: Provided are an integrated circuit chip device and related products. The integrated circuit chip device is used for performing a multiplication operation, a convolution operation or a training operation of a neural network. The device has the advantages of small calculation amount and low power consumption.

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: Systems and methods for solid-state storage drive-level failure prediction and health metric are described. A plurality of host-write commands are received at a solid-state storage device. A number of drive-writes per day based on the on the plurality of host-write commands is determined. An aggregated amount of degradation to one or more internal non-volatile memory components based on the number of drive-writes per day is determined. Using a machine-learned model, a probability of failure value based on a set of parameter data and the aggregated amount of degradation to the non-volatile memory component is generated. An alert is generated, based on the probability of failure value or degradation threshold.

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: An automatic harvesting and collecting device for sisal hemp leaves includes an up-and-down moving assembly, a steering device, a braking mechanism, a mechanical vision sensor device, a vehicle traveling and controlling device, a forward-and-backward moving assembly, an omnidirectional automatic positioning and rotating device, a shearing and clamping device, a collecting device and a frame.

Abstract: A convolution operation method and a processing device for performing the same are provided. The method is performed by a processing device. The processing device includes a main processing circuit and a plurality of basic processing circuits. The basic processing circuits are configured to perform convolution operation in parallel. The technical solutions disclosed by the present disclosure can provide short operation time and low energy consumption.

Abstract: Systems and methods are provided for grouping remote desktop sessions on servers in remote desktop environments according to predicted user logoff times so that sessions with similar predicted logoff times can be placed together on the servers, allowing for more efficient utilization of servers. A user can request a virtual desktop session. Once the request is received, a predicted logoff time for the session can be determined and the session can be placed on one of available host servers based on the predicted logoff time. Different logoff time ranges can be assigned to different servers and sessions can be grouped on the servers according to predicted logoff time.

Abstract: An electronic display board system, an electronic display board and a support platform are provided. The electronic display board includes a display panel, a housing and a first magnetic attraction structure. The display panel includes a display surface on a display side; the housing is connected to the display panel, and includes a first connecting surface on a side away from the display panel, and the first connecting surface and the display surface have a first angle; and the first magnetic attraction structure is fixed on the housing and located between the first connecting surface and the display panel, the first magnetic attraction structure includes a first magnetic attraction portion and a second magnetic attraction portion configured to attract each other upon approaching each other.

Abstract: An air conditioning device includes an alternating current (AC) bus, a direct current (DC) bus, a first AC/DC circuit, a first DC/AC circuit, and a backup power supply apparatus. The AC bus is connected to two power supplies through a switching circuit. The backup power supply apparatus is connected to the DC bus or the AC bus. The backup power supply apparatus provides electric energy for the DC bus or the AC bus when the two power supplies are switched or fail, so that the first air conditioning load is not powered off. The backup power supply apparatus may supply power to the load when the two power supplies are switched or fail.

Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: The present disclosure relates to a computing apparatus, a method and an integrated circuit chip for a vector inner product, where the computing apparatus may be included in a combined processing apparatus. The combined processing apparatus may further include a general interconnection interface and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete a computing operation specified by a user. The combined processing apparatus may further include a storage apparatus, where the storage apparatus is respectively connected to the computing apparatus and other processing apparatus, and the storage apparatus is used for storing data of the computing apparatus and other processing apparatus.

Abstract: The present disclosure relates to a computing apparatus, a method, an integrated circuit chip and an integrated circuit device for performing a neural network operation. The computing apparatus may be included in a combined processing apparatus. The combined processing apparatus may further include a general interconnection interface and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete calculation operations specified by users. The combined processing apparatus may further include a storage apparatus. The storage apparatus is respectively connected to the computing apparatus and other processing apparatus, and the storage apparatus is used for storing data of the computing apparatus and other processing apparatus. Solutions of the present disclosure may be widely applied to various floating-point data computations.

Abstract: The present disclosure relates to a converter for data type conversion, a method for data type conversion, an integrated circuit chip, and a calculation apparatus, where the calculation apparatus may be included in a combined processing apparatus, where the combined processing apparatus may further include a general interconnection interface and other processing apparatus. The calculation apparatus interacts with other processing apparatus to jointly complete calculation operations specified by users. The combined processing apparatus may further include a storage apparatus. The storage apparatus is respectively connected to the calculation apparatus and other processing apparatus, and the storage apparatus is used for storing data of the calculation apparatus and other processing apparatus. A solution of the present disclosure may be widely applied to various data type conversion applications.

Abstract: A method for switching live-streaming rooms is provided. The method includes: acquiring a live-streaming recommendation list; pushing the live-streaming recommendation list to a target client; receiving a live-streaming room switch instruction from the target client, wherein the live-streaming room switch instruction carries a live-streaming room identification corresponding to a second live-streaming room, and the live-streaming room identification corresponding to the second live-streaming room is a live-streaming room identification triggered in the live-streaming recommendation list; and sending a video stream corresponding to the second live-streaming room to the target client based on the live-streaming room switch instruction and the live-streaming room identification of the second live-streaming room.

Abstract: The invention relates to a shared storage space access method, device and system and a storage medium. The product comprises a control module. The control module comprises an instruction cache unit, an instruction processing unit and a storage queue unit. The instruction caching unit is used for storing a calculation instruction associated with the artificial neural network operation; the instruction processing unit is used for analyzing the calculation instruction to obtain a plurality of operation instructions; the storage queue unit is used for storing an instruction queue, and the instruction queue comprises a plurality of operation instructions or calculation instructions to be executed according to the front-back sequence of the queue. Through the method or the product, the access efficiency of the storage space can be improved.