Abstract: An integrated circuit package including a die substrate having a first and second die surfaces, a die high voltage input power connection in the die substrate to receive a high voltage input power and transmit the high voltage input power to a high voltage power trace on the first die surface, a power converter module on the first die surface and electrically connected to the high voltage power trace to convert the high voltage input power to a low voltage output power, a low voltage power trace located on the first die surface and electrically connected to the power converter module to carry the low voltage output power to a circuit die on the first die surface. A method of manufacturing the integrated circuit package and a computer having one or more circuits that include the package is also disclosed.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for scheduling computing resources. In a method for scheduling computing resources provided by embodiments of the present disclosure, a computing graph for a neural network is acquired, wherein the computing graph includes at least a plurality of nodes, and each node includes at least an operator for forward propagation of the neural network and a gradient operator of the operator for back propagation of the neural network; and computing resources for the neural network are scheduled based on the computing graph. In this way, a correlation of operators between forward propagation and back propagation may be preserved. In addition, there is no need to schedule computing resources again during back propagation. Resource scheduling for forward propagation and back propagation may be completed simultaneously with only one scheduling operation.

Abstract: The present invention relates to a system for monitoring an elevator door, an elevator system, and a method for monitoring an elevator door. The elevator door has an open state or a closed state implemented by moving along an elevator sill. The system for monitoring an elevator door includes: one or more imaging sensors configured to collect image data and depth data of at least one section in the elevator sill that is exposed when the elevator door is in the open state; and a data processing device in communication with the imaging sensor and configured to receive and process the image data and the depth data to determine whether an obstacle preventing the elevator door from entering the closed state exists in the section. By applying the present invention, the safety of the elevator door can be improved effectively, and equipment property losses and personal injuries can be avoided.

Abstract: An apparatus comprises at least one processing device configured to establish, utilizing a communication network, a remote collaboration session between first and second computing devices associated with first and second users, and to determine data to be exchanged between the first and second computing devices as part of the remote collaboration session. The first and second computing devices each comprise at least one of an augmented reality and a virtual reality computing device. The processing device is also configured to generate different logical network slices of the communication network, each logical network slice having a set of network characteristics associated with at least one type of the data to be exchanged between the first and second computing devices as part of the remote collaboration session. The processing device is further configured to communicate the different types of data between the first and second computing devices utilizing the logical network slices.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for implementing a blockchain system on a switch. The method includes establishing a first blockchain node and a second blockchain node on the switch, where the first blockchain node includes a first ingress port and a first egress port, and the second blockchain node includes a second ingress port and a second egress port. The method further includes receiving a broadcast or multicast request from a user device through a user port of the switch. The method further includes sending the broadcast or multicast request to the first ingress port of the first blockchain node and the second ingress port of the second blockchain node. Through the embodiments of the present disclosure, a blockchain system can be implemented on a switch, so as to reduce the latency of the blockchain system.

Abstract: A method and an active commissioning system for video analytics (VA) of video surveillance are provided. The method includes capturing, using a video capture device, a video sequence and receiving, at a VA processor, a parameter set from a cloud resource, wherein the parameter set is used for video analytics. The method also includes processing the video sequence by selecting subparts of the video sequence as events, wherein the events are detected based on the parameter set, generating a visualized report using the events from the VA processor and providing the visualized report to an operator, marking, by the operator, yes/no on the events in the visualized report, generating annotations for events based on the marking, and transmitting the annotations and the events to the cloud resource for processing, wherein the cloud resource processes the annotations and events and provides the parameter set based on the processing.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating an avatar. The method includes generating an indication of correlation among image information, audio information, and text information of a video. The method may further include generating, based on the indication of the correlation, a first feature set and a second feature set representing features of a target object in the video, wherein the first feature set represents invariant features of the target object in the video, and the second feature set represents equivariant features of the target object in the video. The method may further include generating the avatar based on the first feature set and the second feature set. With this method, the generated avatar can be made more accurate and vivid with a better effect, while also reducing data annotation cost, improving operation efficiency, and enhancing user experience.

Abstract: Embodiments of the present disclosure provide a data processing method implemented at an edge switch, an electronic device, and a program product. For example, a data processing method implemented at an edge switch is provided. The method includes receiving at least two data packets for floating-point arithmetic operations from at least one source device. In addition, the method may include acquiring corresponding floating-point numerical sequences respectively from the at least two data packets; and acquiring a floating-point arithmetic method from at least one data packet of the at least two data packets to determine a floating-point arithmetic result of the corresponding floating-point numerical sequences. The method may further include sending the floating-point arithmetic result to a target device indicated by the at least one data packet of the at least two data packets.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for managing training data. In a method for managing training data provided by embodiments of the present disclosure, in response to a determination that new training data is collected by a sensor, the new training data is stored into a collected data stream of a storage pool; in response to a determination that the new training data and historical data stored in a full data stream of the storage pool are refined into refined training data, the refined training data is stored into a refined data stream of the storage pool; and the new training data is stored into the full data stream. In this way, data streams become clear and storage costs are reduced. This greatly reduces the difficulty of developing complex scenarios such as autonomous driving.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing data. The method includes determining encoded data for a target object by performing hybrid encoding on multiple types of data for the target object, the multiple types of data including image data of the target object. The method further includes determining, by transforming the encoded data, an invariant portion for a shape of the target object and a variable portion for an expression of the target object. The method improves data processing efficiency, saves time and computing resources, and reduces the amount of data transmission.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing data. The method includes determining a reference tensor based on a tensor representing multidimensional data, where the reference tensor is associated with a target tensor. The method further includes decomposing the reference tensor to obtain multiple low-rank tensors, where a rank of each of the low-rank tensors is lower than that of the reference tensor. The method further includes determining the target tensor based on the multiple low-rank tensors so as to determine multidimensional data at a specific moment. By means of embodiments of the present disclosure, the overhead of computing resources may be reduced, and the time for processing data may be reduced.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing a video. The method includes acquiring a video, where the video includes at least a current frame and a previous frame that are adjacent to each other. The method further includes determining, based on a first pixel value of a pixel in the current frame and a second pixel value of a corresponding pixel in the previous frame, whether the current frame has changed relative to the previous frame. The method further includes determining availability of the current frame for a computer vision task if it is determined that the current frame has changed relative to the previous frame. With the method, video data that needs to be processed is reduced, the task load of a computing device is lowered, system power consumption is improved, and data processing efficiency is improved.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating a virtual image. The method includes extracting an audio feature of an audio input of a target object; and acquiring an expression parameter and a pose parameter associated with the target object based on the audio feature. The method further includes generating, based on the audio feature, auxiliary information related to a texture for at least a portion of the target object and a geometric shape of at least a portion of the target object. The method further includes generating a virtual image of the target object based on the expression parameter, the pose parameter, and the auxiliary information.

Abstract: Embodiments of the present disclosure relate to a data storage method, a data read method, an electronic device, and a computer program product. The data storage method includes: acquiring identifiers of a predetermined number of trusted nodes, the predetermined number being associated with a secret sharing scheme to be used; generating a predetermined number of shared portion sets from input data by using the identifiers respectively as parameters of the secret sharing scheme; and respectively storing the predetermined number of shared portion sets in the predetermined number of trusted nodes according to a correspondence relationship between the predetermined number of shared portion sets and the predetermined number of trusted nodes. With the technical solution of the present disclosure, input data can be efficiently protected with trusted nodes by using a secret sharing scheme, and the confidentiality and integrity of the input data can be guaranteed.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data augmentation. The method includes: generating a group of candidate images based on a target image by using a thermodynamic genetic algorithm (TDGA) model, the TDGA model being configured to apply one or more operations of a set of predetermined image processing operations during each evolution process; and determining multiple augmented images from the group of candidate images based on free energy of the group of candidate images, the multiple augmented images being determined as belonging to the same classification with the target image. In this way, data augmentation can be efficiently implemented by a thermodynamic genetic algorithm.

Abstract: Methods, apparatus, and processor-readable storage media for artificial intelligence-driven avatar-based personalized learning techniques are provided herein.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a medium for detecting an abnormality in a network. The method for detecting an abnormality in a network includes acquiring a reference tensor and a target tensor representing traffic in the network, the reference tensor and the target tensor having at least dimensions of source, destination, and time of the traffic. The method further includes determining a target core tensor of the target tensor based on a reference decomposition factor of the reference tensor related to the dimensions of source and destination of the traffic. The method further includes determining that there is an abnormality in the network if a difference between the target core tensor of the target tensor and a reference core tensor of the reference tensor is greater than a preset value.

Abstract: The present disclosure relates to a method, a device, and a program product for training a model. The method includes: receiving at least one unlabeled sample and at least one labeled sample for training a pre-training model, the pre-training model being used to extract features of the samples; creating an undirected graph associated with the pre-training model using the at least one unlabeled sample and a set of training samples associated with the pre-training model; dividing the undirected graph to form a plurality of sub-graphs based on corresponding features of the unlabeled sample and the set of training samples, the plurality of sub-graphs corresponding to a plurality of classifications of the samples, respectively; and training, based on the plurality of sub-graphs and the at least one labeled sample, the pre-training model to generate a training model. A corresponding device and a corresponding computer program product are provided.

Abstract: Embodiments of the present disclosure relate to a computer-implemented method, device, and computer program product. The method includes: determining, based on a set of user behavior data over a first time period, a set of behavioral features for a user behavior over the first time period. The method further includes: determining, based on the set of behavioral features, a set of anomaly scores for the user behavior according to an anomaly detection model. The anomaly detection model is trained based on user behavior data over a second time period. The method further includes: updating a previously determined anomaly score threshold based on comparison of the determined set of anomaly scores with the anomaly score threshold. The anomaly score threshold is used for indicating whether the user behavior is anomalous. By continuously updating the anomaly score threshold, the solution uses the updated anomaly score threshold for anomaly detection of user behavior.

Abstract: A first set of requirements of a first set of computing tasks for computing resources in a computing system is acquired respectively. Based on a determination that the requirement of a computing task in the first set of computing tasks for a computing resource satisfies a resource threshold condition, the computing task is divided into a plurality of sub-tasks. The resource threshold condition describes the threshold of a computing resource provided by a computing device in a plurality of computing devices in the computing system. A merging task for merging a plurality of sub-results of the plurality of sub-tasks into a result of the computing task is generated. Based on other computing tasks than the computing task in the set of computing tasks, the plurality of sub-tasks, and the merging task, a second set of computing tasks of the computing job is determined so as to process the computing job.