Abstract: When performing a recycling operation on a storage device, a storage system may use or create a data buffer in the storage device, and designate the data buffer to temporarily store data of data blocks to be recycled in the storage device using direct memory access (DMA) operations that are performed internally in the storage device, without the need of reading the data of the data blocks from the storage device and writing the data into a host memory of the storage system, thereby saving or reducing the consumptions of the communication bandwidth of a communication channel between the storage system and the storage device, and the memory bandwidth of the host memory.

Abstract: The present disclosure provides a superconducting qubit. The superconducting qubit includes: a Josephson junction and a non-Josephson junction area, wherein the non-Josephson junction area includes a first layer of superconducting material, the first layer of superconducting material being superconducting material deposited on the non-Josephson junction area before ion milling on the Josephson junction and the non-Josephson junction area during preparation of the superconducting qubit.

Abstract: A system-in-package including a logic die and one or more memory dice can include a reliability availability serviceability (RAS) memory management unit (MMU) for memory error detection, memory error prediction and memory error handling. The RAS MMU can receive memory health information, on-die memory error information, system error information and read address information for the one or more memory dice. The RAS MMU can manage the memory blocks of the one or more memory dice based on the memory health information, on-die memory error type, system error type and read address. The RAS MMU can also further manage the memory blocks based on received on-die memory temperature information and or system temperature information.

Abstract: A method is implemented by a computing node, and includes: sending a mounting request triggered for a target logical volume to a target storage node of multiple storage nodes included in a file system; receiving storage location information of a log segment and a checkpoint corresponding to the target logical volume sent by the target storage node; reading log metadata of the log segment and the checkpoint according to the storage location information to restore a data state of the target logical volume; and performing data access processing based on the data state of the target logical volume. When multiple computing nodes access a target logical volume, read and write consistency of the multiple computing nodes can be maintained based on log information of the target logical volume maintained by various storage nodes. Furthermore, reading and writing can be performed synchronously, thus avoiding read and write conflicts.

Abstract: The present disclosure relates to a processing in memory (PIM) enabled device for executing a neural network model. The PIM enabled device comprises a memory block assembly comprising a first array of memory blocks, a second array of memory blocks adjacent to the first array of memory blocks, a plurality of first data links associated with the first array of memory blocks and the second array of memory blocks, wherein each data link of the plurality of first data links communicatively couples two corresponding memory blocks of which are from the first array of memory blocks and the second array of memory blocks respectively, and a second data link communicatively coupled to the plurality of first data links. The data from a first memory block of the first array of memory blocks can be transferable to a second memory block of the second array of memory blocks via the plurality of first data links and the second data link.

Abstract: A method, a system, and a device for switching a service unit are provided. The method includes: determining a target service unit; and triggering the target service unit to publish first routing information according to configuration information of a first service unit for a first load balancing task, so as to replace the first service unit to provide a traffic distribution service for the first load balancing task. When the entire service network needs to perform disaster tolerance switching and capacity dispatching, the method provided in the embodiments of this application can effectively improve the real-time performance of traffic switching, and avoid the problem of relatively poor real-time performance of traffic switching caused by the influence of DNS cache in the existing technologies.

Abstract: The present disclosure provides a controller area network (CAN) bus network access unit, a related network, a method, and an apparatus. The CAN bus network access unit includes: a first CAN bus; a second CAN bus; a first CAN bus transceiver and a second CAN bus transceiver, respectively communicatively coupled to the first CAN bus and the second CAN bus and respectively configured to communicate with another first CAN bus and another second CAN bus in another CAN bus network access unit; a first port, communicatively coupled to the first CAN bus; and a plurality of variable connection ports, where each variable connection port is communicatively coupled to one of the first CAN bus and the second CAN bus, or communicatively coupled to neither the first CAN bus nor the second CAN bus. In embodiments of the present disclosure, an electric control part used in a conveying line is standardized. A time-delay is reduced and costs of network wiring and device management are reduced.

Abstract: The present disclosure provides methods for picture processing. The method can include: receiving a bitstream comprising a set of pictures; determining, according to the received bitstream, whether a virtual boundary is signaled at a sequence level for the set of pictures; in response to the virtual boundary being signaled at the sequence level, determining a position of the virtual boundary for the set of pictures, the position being bounded by a range signaled in the received bitstream; and disabling in-loop filtering operations across the virtual boundary.

Abstract: Methods and systems are provided for implementing training of learning models, including obtaining a pre-trained weight set for a learning model on a sample dataset and on a first loss function; selecting at least two tasks having heterogeneous features to be computed by a reference model; obtaining a reference dataset for the at least two tasks; designating a second loss function for feature embedding between the heterogeneous features of the at least two tasks; training the learning model on the first loss function and training the reference model on the second loss function, in turn; and updating the weight set based on a feature embedding learned by the learning model and a feature embedding learned by the reference model, in turn. Methods and systems of the present disclosure may alleviate computational overhead incurred by executing the learning model and loading different weight sets at a central network of the model.

Abstract: The present disclosure relates to a method for scheduling computation resources for generating feature maps for video. The method comprises determining runtime for generating feature maps of a reference picture and a predicted picture, determining available computation resources for generating the feature maps, and allocating, based on the runtime, one or more computation resources among the available computation resources for generating the feature maps such that the feature maps are generated at regular time intervals.

Abstract: Embodiments of this specification provide methods and apparatuses for processing images, devices, and storage media. A method includes: obtaining an image for processing; generating a first mask image corresponding to the image based on a machine-learning model and determining whether the image has a foreground object; in response to determining that the image has the foreground object, setting pixels corresponding to the foreground object to a first grayscale value range, and setting pixels corresponding to non-foreground objects in the first mask image to a second grayscale value range; determining an outline corresponding to the foreground object in the image according to a grayscale value range difference between the first grayscale value range of the foreground object and the second grayscale value range of the non-foreground objects in the first mask image; and sending, to a client device for display, the image with the determined outline for interaction by a user.

Abstract: Provided in embodiments of the present application are a a key generation and terminal provisioning method, an apparatus, and a device thereof. The method for generating a key includes: sending, by an enrollee, a first request message to a configurator, the first request message comprising a first identifier, and the first identifier used to instruct the configurator to perform a network reconfiguration operation; receiving, by the enrollee, a first message sent by the configurator and including first key information; generating, by the enrollee, a session key according to the first key information; sending, by the enrollee, a second message to the configurator, the second message comprising second key information, thus allowing the configurator to generate the session key according to the second key information.

Abstract: Systems and methods are provided for implementing inter-coded resolution-adaptive video coding supported by resizing motion information of a current frame during motion prediction, reducing extensive computational costs and computing time that would be incurred as a result of extensive application of interpolation filters to generate picture information of a reference frame to sub-pixel granularity, and thus reducing computational cost and computing time of decoding as a whole.

Abstract: A method for predicting traffic flow or a travel time, includes: obtaining navigation route data; obtaining, according to the navigation route data, navigation flow of a road within a prediction time period; obtaining real-time traffic flow, a real-time travel time, past traffic flow, and a past travel time of the road; and training a neural network with the real-time travel time, the past travel time, the real-time traffic flow, the past traffic flow, and the navigation flow of the road to obtain predicted traffic flow or a predicted travel time of the road within the prediction time period.

Abstract: Systems and methods are provided for coordinating decisions between noncommunicating parties using quantum physics. The procedure includes recognizing and identifying features of a coordinating decisions between non-communicating parties (CDNP) problem, expressing these features in a precise and mathematical manner, finding a solution using quantum states and measurements, and physically implementing the solution. Since quantum mechanics can violate Bell inequalities, quantum solutions to a CDNP problem have advantages over non-quantum solutions.

Abstract: Methods for qubit detection include: imaging, via an imaging device, a qubit to obtain an image; inputting the image to a machine learning model; and outputting, by the machine learning model, prediction information based on the image. Systems for qubit detection include: a test module including an imaging device configured to provide an image of a qubit; and a prediction module communicatively coupled to the test module and including a machine learning model configured to output prediction information based on the image provided by the test module. Devices for qubit detection include: a non-transitory computer-readable storage medium storing an instruction set; and a processor configured to execute the instruction set to cause the device to perform controlling an imaging device to image a qubit to obtain an image; inputting the image to a machine learning model; and controlling the machine learning model to output prediction information based on the image.

Abstract: The present disclosure discloses a method, an apparatus, and a computer storage medium for cloud storage interval updating. The method includes determining a cloud storage interval to be updated in a cloud storage system; determining a target cloud storage interval in the cloud storage system; and replicating data in the cloud storage interval to be updated to the target cloud storage interval based on a content verification.

Abstract: In various embodiments, this application provides an audio information processing method, an audio information processing apparatus, an electronic device, and a storage medium. An audio information processing method in an embodiment includes: obtaining a first audio feature corresponding to audio information; performing, based on an audio feature at a specified moment in the first audio feature and audio features adjacent to the audio feature at the specified moment, an encoding on the audio feature at the specified moment to obtain a second audio feature corresponding to the audio information; obtaining decoded text information corresponding to the audio information; and obtaining, based on the second audio features and the decoded text information, text information corresponding to the audio information.

Abstract: The present disclosure provides video processing method and apparatus. An exemplary method includes: determining whether a coding block comprises samples outside a picture boundary; and in response to the coding block being determined to comprise samples outside a picture boundary, performing quad tree splitting of the coding block regardless of a value of a first parameter, wherein the first parameter indicates whether the quad tree is allowed to be used to split the coding block.

Abstract: A positioning method, a device, and an electronic apparatus. The method comprises: obtaining a GNSS position of a vehicle; obtaining standard positioning data around a road where the vehicle is located; obtaining laser point cloud data around the road where the vehicle is located; extracting to-be-matched positioning data around the road; forward simulating a motion state of the vehicle based on sampling positions corresponding to the vehicle at a previous moment, to obtain sampling positions at a current moment; converting the to-be-matched positioning data into a coordinate system corresponding to the standard positioning data; matching the to-be-matched positioning data with the standard positioning data to obtain a probability that the vehicle is located at each sampling position at the current moment; and obtaining a position of the vehicle based on the probability that the vehicle is located at each sampling position at the current moment.