Abstract: Provided are an image occlusion method, a model training method, a device, and a storage medium, which relate to the technical field of artificial intelligence, in particular, to the field of computer vision technologies and deep learning, and may be applied to image recognition, model training and other scenarios. The specific implementation solution is as follows: generating a candidate occlusion region according to an occlusion parameter; according to the candidate occlusion region, occluding an image to be processed to obtain a candidate occlusion image; determining a target occlusion region from the candidate occlusion region according to visual security and data availability of the candidate occlusion image; and according to the target occlusion region, occluding the image to be processed to obtain a target occlusion image. In this manner, the image to be processed is desensitized while the accuracy of target recognition is ensured.

Abstract: Systems and methods are provided to implement intelligent data coordination for accelerated computing in a distributed computing environment. For example, a method includes executing a task on a computing node, monitoring requests issued by the executing task, intercepting requests issued by the executing task which correspond to data flow operations to be performed as part of the task execution, and asynchronously executing the intercepted requests at scheduled times to coordinate data flow between resources on the computing node.

Abstract: A method (400) of generating guest accounts in a local area network is provided including determining (410) a presence of at least one user in a premises and generating (420) at least one guest account in a local area network established in the premises based on the determined presence. An apparatus (101, 102, 300) for generating guest accounts in a local area network is provided, the apparatus including a processor (304), and at least one memory (312) coupled with the processor, the processor being configured to determine a presence of at least one user in a premises and generate at least one guest account in a local area network (150) established in the premises based on the determined presence. A computer-readable storage medium and a non-transitory computer-readable program product are also described.

Abstract: A graphics processing unit (GPU) service platform includes a control server, and a cluster of GPU servers each having one or more GPU devices. The control server receives a service request from a client system for GPU processing services, allocates multiple GPU servers within the cluster to handle GPU processing tasks specified by the service request by logically binding the allocated GPU servers, and designating one of the at least two GPU servers as a master server, and send connection information to the client system to enable the client system to connect to the master server. The master GPU server receives a block of GPU program code transmitted from the client system, which is associated with the GPU processing tasks specified by the service request, processes the block of GPU program code using the GPU devices of the logically bound GPU servers, and returns processing results to the client system.

Abstract: A graphics processing unit (GPU) service platform includes a control server, and a cluster of GPU servers each having one or more GPU devices. The control server receives a service request from a client system for GPU processing services, allocates multiple GPU servers within the cluster to handle GPU processing tasks specified by the service request by logically binding the allocated GPU servers, and designating one of the at least two GPU servers as a master server, and send connection information to the client system to enable the client system to connect to the master server. The master GPU server receives a block of GPU program code transmitted from the client system, which is associated with the GPU processing tasks specified by the service request, processes the block of GPU program code using the GPU devices of the logically bound GPU servers, and returns processing results to the client system.

Abstract: Techniques are provided to configure a graphics processing unit (GPU) service platform to provide GPU processing and checkpointing services to a client system. For example, when the GPU service platform receives a service request from a first client system for GPU processing services, a GPU server node is allocated to execute a first GPU processing task associated with the service request using one or more GPU devices. When a GPU checkpointing operation is performed during execution of the first GPU processing task to generate a checkpoint image of a current state of the first GPU processing task, the GPU server node is configured to execute at least a portion of a second GPU processing task associated with a second service request received from a second client system, using the one or more GPU devices concurrently with performing the GPU checkpointing operation for the first GPU processing task.

Abstract: A graphics processing unit (GPU) service platform includes a control server, and a cluster of GPU servers each having one or more GPU devices. The control server receives a service request from a client system for GPU processing services, allocates multiple GPU servers nodes within the cluster to handle GPU processing tasks specified by the service request by logically binding the allocated GPU server nodes, and designating one of the at least two GPU servers as a master server, and send connection information to the client system to enable the client system to connect to the master server. The master GPU server node receives a block of GPU program code transmitted from the client system, which is associated with the GPU processing tasks specified by the service request, processes the block of GPU program code using the GPU devices of the logically bound GPU servers, and returns processing results to the client system.

Abstract: A system for applications including but not limited to machine learning and unsupervised learning for clustering of data processes an input dataset in a plurality of autoencoders where each autoencoder is configured to produce an indication of a particular structure included in the input dataset and an aggregator combines the indications produced by the plurality of autoencoders based on a weighting vector to produce a weighted combination of the indications that may be used to train the system to create a sparse representation of unlabeled datasets.

Abstract: A system and method for skin conductance-based regulation of an electronic device is described. The system includes a processor configured to receive, data representative of skin conductance of a user; determine, a conductance for the user as a function of a temperature and the skin conductance; and adjust, the temperature based on the determined conductance.

Abstract: A method to determine an operational status of one appliance includes sampling a plurality of sensors monitoring operation of a plurality of appliances. The sampling producing composite sensor measurements; the sensors not dedicated to any particular appliance. Filtering the composite sensor measurements for information for the one appliance is accomplished to remove sampled data that represents appliances other than the one appliance. A comparison of the sensor data for the one appliance with the reference information of the one appliance is determined. If an operation anomaly is present in the information for the particular appliance, a notification is transmitted to a user device concerning the operation of the one appliance.

Abstract: A method and apparatus are described including receiving sensor data from at least one of a plurality of sensors in a sensor array associated with an environment, detecting a pattern in the received sensor data, determining a profile of at least one user present in the environment from a correlation between the detected pattern and patterns in a first database, determining an action to be performed responsive to the determined age range of the at least one user in the environment to actions associated with the user profile in a second database and performing the determined action on received content.

Abstract: A method implemented by a server enables sharing of GPU resources by multiple clients. The server receives a request from a first client for GPU services. The request includes a first block of GPU code of an application executing on the first client. A first task corresponding to the first block of GPU code is enqueued in a task queue. The task queue includes a second task that corresponds to a second block of GPU code of an application executing on a second client. The server schedules a time for executing the first task using a GPU device that is assigned to the first client, and dispatches the first task to a GPU worker process to execute the first task at the scheduled time using the GPU device. The GPU device is shared, either temporally or spatially, by the first and second clients for executing the first and second tasks.

Abstract: The present disclosure provides a method of carrier phase error removal associated with an optical communication signal. The method includes estimating and removing a first phase angle associated with an information signal using coarse phase recovery, the information symbol being associated with a digital signal, the digital signal representing the optical communication signal; estimating a carrier frequency offset between a receiver light source and a transmitter light source by using the estimated first phase angle, the carrier frequency offset being associated with the information signal; removing carrier phase error associated with the carrier frequency offset; and estimating and removing a second phase angle associated with the information signal, the estimated second phase angle being based on the estimated first phase angle and the estimated carrier frequency offset.

Abstract: The present disclosure provides a method of carrier phase error removal associated with an optical communication signal. The method includes estimating and removing a first phase angle associated with an information signal using coarse phase recovery, the information symbol being associated with a digital signal, the digital signal representing the optical communication signal; estimating a carrier frequency offset between a receiver light source and a transmitter light source by using the estimated first phase angle, the carrier frequency offset being associated with the information signal; removing carrier phase error associated with the carrier frequency offset; and estimating and removing a second phase angle associated with the information signal, the estimated second phase angle being based on the estimated first phase angle and the estimated carrier frequency offset.

Abstract: Exemplary embodiments are directed to a blind carrier recovery system for blind detection and/or correction of carrier frequency offset between the signal laser source and local oscillator (i.e., carrier frequency recovery) for optical systems employing quadrature amplitude modulation (QAM). Exemplary embodiments can be implemented using an improved fast Fourier transform (FFT)-based approach. Some embodiments can include a frequency sign detection technique that uses parallel, concurrently implemented FFTs having a modified FFT architecture. Some embodiments can include a frequency sign detection technique that uses time-domain slope detection based on constellation classification.

Abstract: Exemplary embodiments are directed to a blind carrier recovery system for blind detection and/or correction of carrier frequency offset between the signal laser source and local oscillator (i.e., carrier frequency recovery) for optical systems employing quadrature amplitude modulation (QAM). Exemplary embodiments can be implemented using an improved fast Fourier transform (FFT)-based approach. Some embodiments can include a frequency sign detection technique that uses parallel, concurrently implemented FFTs having a modified FFT architecture. Some embodiments can include a frequency sign detection technique that uses time-domain slope detection based on constellation classification.

Abstract: The present disclosure provides a method of carrier phase error removal associated with an optical communication signal. The method includes estimating and removing a first phase angle associated with an information signal using coarse phase recovery, the information symbol being associated with a digital signal, the digital signal representing the optical communication signal; estimating a carrier frequency offset between a receiver light source and a transmitter light source by using the estimated first phase angle, the carrier frequency offset being associated with the information signal; removing carrier phase error associated with the carrier frequency offset; and estimating and removing a second phase angle associated with the information signal, the estimated second phase angle being based on the estimated first phase angle and the estimated carrier frequency offset.