Abstract: Virtual machine management is provided. A virtual machine is started automatically based on a custom resource definition of the virtual machine in response to the receiving the custom resource definition of the virtual machine. A container is generated to run an application workload in the virtual machine based on a container configuration file in response to the virtual machine starting. The application workload is deployed on the container automatically based on a container image corresponding to the container. The application workload is run on the container automatically in accordance with a definition of the application workload.

Abstract: A driving model training method, a driver identification method, an apparatus, a device and a medium are provided. The training method comprises: acquiring training behavior data of a user wherein the training behavior data are associated with a user identifier; acquiring training driving data associated with the user identifier based on the training behavior data; acquiring positive and negative samples from the training driving data based on the user identifier, and dividing the positive and negative samples into a training set and a test set; training the training set using a bagging algorithm, and acquiring an original driving model; testing the original driving model using the test set, and acquiring a target driving model. The training method effectively enhances generalization of the driving model, solves the problem of poor identification results of the existing driving identification model, and improves the accuracy rate of identifying driving of drivers.

Abstract: A computer-implemented method for managing information during a web conference is provided. The computer-implemented method includes collecting and formatting meeting application information at a processor of a computing device having a screen being shared with attendees of the web conference and collecting and formatting to-be-popup application information at the processor. The computer-implemented method further includes analyzing, by the processor, an urgency of the to-be-popup application information and a correlation between the to-be-popup application information and the meeting application information and determining, by the processor, whether to share the to-be-popup application information with a user of the computing device and with the attendees based on results of the analyzing.

Abstract: Methods and structures of a three-dimensional memory device are disclosed. In an example, the disclosed method comprises forming a plurality of dielectric stacks stacked on one another over a substrate to create a multiple-stack staircase structure. Each one of the plurality of dielectric stacks comprises a plurality of dielectric pairs arranged along a direction perpendicular to a top surface of the substrate. The method further comprises forming a filling structure that surrounds the multiple-stack staircase structure, forming a semiconductor channel extending through the multiple-staircase structure, wherein the semiconductor channel comprises unaligned sidewall surfaces, and forming a supporting pillar extending through at least one of the multiple-staircase structure and the filling structure, wherein the supporting pillar comprises aligned sidewall surfaces.

Abstract: Embodiments are directed to deploying a workload on the best/highest performance node. Nodes configured to accommodate a request for a workload are selected. Information is collected on each of the selected nodes and the workload. Predicted response times expected for the workload running on each of the selected nodes are determined. The workload is deployed on a node of the selected nodes, the node having a corresponding predicted response time for the workload, the workload being deployed on the node based at least in part on the corresponding predicted response time.

Abstract: User data security is provided. Encrypted user data are identified in a virtual machine. A private key of a public/private cryptographic key pair corresponding to a user is retrieved. The encrypted user data is decrypted within the virtual machine utilizing the private key corresponding to the user to form decrypted user data. The encrypted user data are replaced in the virtual machine with the decrypted user data. The decrypted user data is processed in the virtual machine to perform a service in a cloud environment.

Abstract: A driving model training method, a driver identification method, apparatuses, a device and a medium are provided. The driving model training method comprises: acquiring training behavior data of a user wherein the training behavior data are associated with a user identifier; acquiring training driving data associated with the user identifier based on the training behavior data; acquiring positive and negative samples from the training driving data based on the user identifier, and dividing the positive and negative samples into a training set and a test set; training the training set using a bagging algorithm, and acquiring an original driving model; and testing the original driving model using the test set, and acquiring a target driving model. The driving model training method effectively enhances generalization of the driving model, solves the problem of a poor identification result of the current driving identification model.

Abstract: A semantic analysis apparatus, method, and non-transitory computer readable storage medium thereof are provided. The semantic analysis apparatus performs phrase analysis on a Chinese character string to obtain several groups and semantically analyzes the groups to obtain at least one first probability distribution, wherein each first probability distribution has several first probability values corresponding to several tags one-to-one. The semantic analysis apparatus divides the Chinese character string into several Chinese characters and semantically analyzes the Chinese characters to obtain at least one second probability distribution, wherein each second probability distribution has several second probability values corresponding to the tags one-to-one.

Abstract: A semantic analysis apparatus, method, and non-transitory computer readable storage medium thereof are provided. The semantic analysis apparatus performs phrase analysis on a Chinese character string to obtain several groups and semantically analyzes the groups to obtain at least one first probability distribution, wherein each first probability distribution has several first probability values corresponding to several tags one-to-one. The semantic analysis apparatus divides the Chinese character string into several Chinese characters and semantically analyzes the Chinese characters to obtain at least one second probability distribution, wherein each second probability distribution has several second probability values corresponding to the tags one-to-one.

Abstract: Methods of identifying sequence differences between or among nucleic acid populations are described. Nucleic acid strands from different populations are hybridized with one another so that mismatch-containing duplexes are formed. Mismatch-containing duplexes are cleaved in a mismatch-dependent fashion and cleavage products are isolated and used to identify the genetic sequences that differ in the nucleic acid populations.