Abstract: Methods, apparatus, and computer program products for multimodal artificial intelligence-based communication systems are provided herein. A computer-implemented method includes generating, using a first set of one or more artificial intelligence techniques, identifying information for one or more objects detected in image data associated with at least one user query; generating at least one updated version of the at least one user query by processing, using a second set of one or more artificial intelligence techniques, at least a portion of the at least one user query in conjunction with at least a portion of the identifying information for the one or more objects; generating at least one response to the at least one updated version of the at least one user query; and performing one or more automated actions based at least in part on the at least one response.

Abstract: Disclosed is a method and system for achieving optimal separable convolutions, the method is applied to image analyzing and processing and comprises steps of: inputting an image to be analyzed and processed; calculating three sets of parameters of a separable convolution: an internal number of groups, a channel size and a kernel size of each separated convolution, and achieving optimal separable convolution process; and performing deep neural network image process. The method and system in the present disclosure adopts implementation of separable convolution which efficiently reduces a computational complexity of deep neural network process. Comparing to the FFT and low rank approximation approaches, the method and system disclosed in the present disclosure is efficient for both small and large kernel sizes and shall not require a pre-trained model to operate on and can be deployed to applications where resources are highly constrained.

Abstract: A cooling structure for a drive system, includes a motor assembly. The motor assembly includes a rotary shaft and a cooling tube having an inner hole. The rotary shaft includes a mounting hole for receiving the cooling tube. An annular water channel is formed between an outer wall of the cooling tube and an inner wall of the mounting hole. The inner hole and the annular water channel form a rotor cooling water channel.

Abstract: Disclosed is a method and system for achieving optimal separable convolutions, the method is applied to image analyzing and processing and comprises steps of: inputting an image to be analyzed and processed; calculating three sets of parameters of a separable convolution: an internal number of groups, a channel size and a kernel size of each separated convolution, and achieving optimal separable convolution process; and performing deep neural network image process. The method and system in the present disclosure adopts implementation of separable convolution which efficiently reduces a computational complexity of deep neural network process. Comparing to the FFT and low rank approximation approaches, the method and system disclosed in the present disclosure is efficient for both small and large kernel sizes and shall not require a pre-trained model to operate on and can be deployed to applications where resources are highly constrained.

Abstract: The present application discloses a method for early warning brandish of a transmission wire based on an improved Bayes-Adaboost algorithm, including: forming a classifier by training a historical brandish fault training set, and by using an Adaboost ensemble learning method, and obtaining an early warning result of the brandish of the transmission wire via the classifier according to real-time forecast meteorological information and information of different parameters of the transmission wire. The present invention can realize calculation and processing of forecast information of meteorological characteristic factors of the brandish of the transmission wire, structural parameters of the transmission wire and other related data, and obtain an early warning analysis result of a brandish disaster of the transmission wire in a region.

Abstract: The invention provides anti-CaENO1 antibodies and humanized antibodies as effective diagnostic agent or therapeutic treatment against infections caused by Candida spp. (preferably Candida. albicans, Candida tropicalis), fluconazole resistance Candida spp., Streptococcus, or Staphylococcus.

Abstract: A method for migrating a virtual machine (VM) includes establishing a first connection to a first cloud computing system executing a first VM, and establishing a second connection to a second cloud computing system managed by a second cloud provider, which is different form the first cloud provider. The method further includes instantiating a second VM designated as a destination VM in the second cloud computing system, and installing a migration agent on each of the first VM and the second VM. The migration agents execute a migration process of the first VM to the second VM by (1) iteratively copying guest data from the first VM to the second VM until a switchover criteria of the migration operation is met, and (2) copying a remainder of guest data from the first VM to the second VM when the switchover criteria is met.

Abstract: The disclosure provides a hybrid magnet structure which includes two dipole magnets assemblies arranged oppositely, and each dipole magnet assembly includes a permanent magnet, two iron cores, and a moveable magnetic field shunt element. The hybrid magnet structure is adapted to focus particle beams of different positions by applying an adjustable gradient magnetic field in the horizontal or vertical direction of the particle beam. By passing the charged particle beams through the gradient magnetic field established between the two dipole magnets, the aspect of focusing the charged particle beam is achieved. In addition, the intensity of the gradient magnetic field can be altered by adjusting the gap between the movable magnetic field shunt element and the permanent magnet, thereby controlling the particle beam size on a specific axis for different energies or masses of the charge particles.

Abstract: A convolution acceleration and computing processing method includes: reading data to be processed of a preset size in a task to be processed from an off-chip memory of an accelerator sequentially through a FIFO port, and storing the data to be processed into at least one input buffer of a first buffer in an on-chip memory of the accelerator; responsive to data to be processed being stored into an input buffer, reading input window data to be processed from the at least one input buffer sequentially, performing convolution on the input window data to be processed by using the convolution kernel data to obtain output window data and storing the output window data in the third buffer; and storing the output window data in the third buffer into the off-chip memory sequentially through the FIFO port.

Abstract: The disclosure provides a hybrid magnet structure which includes two dipole magnets assemblies arranged oppositely, and each dipole magnet assembly includes a permanent magnet, two iron cores, and a moveable magnetic field shunt element. The hybrid magnet structure is adapted to focus particle beams of different positions by applying an adjustable gradient magnetic field in the horizontal or vertical direction of the particle beam. By passing the charged particle beams through the gradient magnetic field established between the two dipole magnets, the aspect of focusing the charged particle beam is achieved. In addition, the intensity of the gradient magnetic field can be altered by adjusting the gap between the movable magnetic field shunt element and the permanent magnet, thereby controlling the particle beam size on a specific axis for different energies or masses of the charge particles.

Abstract: A reinforcement learning method for frame-level bit allocation is disclosed. The reinforcement learning method includes steps of: (a) at a testing time, computing a state according to a plurality of features; (b) determining an action according to a policy; (c) determining a number of bits allocated to an i-th frame in a group of pictures (GOP) according to the action, a GOP-level bit budget and the state, wherein i is a positive integer; (d) encoding the i-th frame according to the number of bits allocated to the i-th frame in the GOP; and (e) repeating the steps (a)˜(d) until an end of the GOP.

Abstract: The invention provides anti-CaENO1 antibodies and humanized antibodies as effective diagnostic agent or therapeutic treatment against infections caused by Candida spp. (preferably Candida. albicans, Candida tropicalis), fluconazole resistance Candida spp., Streptococcus, or Staphylococcus.

Abstract: A reinforcement learning method for frame-level bit allocation is disclosed. The reinforcement learning method includes steps of: (a) at a testing time, computing a state according to a plurality of features; (b) determining an action according to a policy; (c) determining a number of bits allocated to an i-th frame in a group of pictures (GOP) according to the action, a GOP-level bit budget and the state, wherein i is a positive integer; (d) encoding the i-th frame according to the number of bits allocated to the i-th frame in the GOP; and (e) repeating the steps (a)˜(d) until an end of the GOP.

Abstract: A method of migrating a virtual machine (VM) having a virtual disk from a source data center to a destination data center includes generating a snapshot of the VM to create a base disk and a delta disk in which writes to the virtual disk subsequent to the snapshot are recorded, and copying the base disk to a destination data store. The method further includes, in response to a request to migrate the VM, preparing a migration specification at the source and transmitting the migration specification to the destination, the migration specification including a VM identifier and a current content ID of the base disk, and determining that a content ID of the copied base disk matches the current content ID of the base disk included in the migration specification and updating the migration specification to indicate that the base disk does not need to be migrated.

Abstract: Anti-CaENO1 antibodies and humanized antibodies are provided as an effective diagnostic agent or a therapeutic treatment against infections caused by Candida spp., preferably Candida albicans, Candida tropicalis, fluconazole resistance Candida spp., Streptococcus, Staphylococcus.

Abstract: A convolution acceleration and computing processing method includes: reading data to be processed of a preset size in a task to be processed from an off-chip memory of an accelerator sequentially through a FIFO port, and storing the data to be processed into at least one input buffer of a first buffer in an on-chip memory of the accelerator; responsive to data to be processed being stored into an input buffer, reading input window data to be processed from the at least one input buffer sequentially, performing convolution on the input window data to be processed by using the convolution kernel data to obtain output window data and storing the output window data in the third buffer; and storing the output window data in the third buffer into the off-chip memory sequentially through the FIFO port.

Abstract: A method of migrating a virtual machine (VM) having a virtual disk from a source data center to a destination data center includes generating a snapshot of the VM to create a base disk and a delta disk in which writes to the virtual disk subsequent to the snapshot are recorded, and copying the base disk to a destination data store. The method further includes, in response to a request to migrate the VM, preparing a migration specification at the source and transmitting the migration specification to the destination, the migration specification including a VM identifier and a current content ID of the base disk, and determining that a content ID of the copied base disk matches the current content ID of the base disk included in the migration specification and updating the migration specification to indicate that the base disk does not need to be migrated.

Abstract: A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.

Abstract: An example method of migrating a virtualized computing instance between source and destination virtualized computing systems includes executing a first migration workflow in the source virtualized computing system, where a host computer executing the virtualized computing instance is a source host in the first migration workflow and a first mobility agent simulates a destination host in the first migration workflow. The method further includes executing a second migration workflow in the destination virtualized computing system, where a second mobility agent in the destination virtualized computing system simulates a source host in the second migration workflow and a host computer in the destination virtualized computing system is a destination host in the second migration workflow.