Abstract: A base film for a light diffusion film includes a transparent polymer layer, which comprises a plurality of nanopores, and liquid crystal filled in the plurality of nanopores. A light diffusion film, a display device, and production methods thereof are also disclosed.

Abstract: The disclosure describes one or more embodiments of a structured text summary system that generates structured text summaries of digital documents based on an interactive graphical user interface. For example, the structured text summary system can collaborate with users to create structured text summaries of a digital document based on automatically generating document tags corresponding to the digital document, determining segments of the digital document that correspond to a selected document tag, and generating structured text summaries for those document segments.

Abstract: The present invention relates to the field of analog integrated circuits, and provides a multiply-accumulate calculation method and circuit suitable for a neural network, which realizes large-scale multiply-accumulate calculation of the neural network with low power consumption and high speed. The multiply-accumulate calculation circuit comprises a multiplication calculation circuit array and an accumulation calculation circuit. The multiplication calculation circuit array is composed of M groups of multiplication calculation circuits. Each group of multiplication calculation circuits is composed of one multiplication array unit and eight selection-shift units. The order of the multiplication array unit is quantized in real time by using on-chip training to provide a shared input for the selection-shift units, achieving increased operating rate and reduced power consumption.

Abstract: A base film for a light diffusion film includes a transparent polymer layer, which comprises a plurality of nanopores, and liquid crystal filled in the plurality of nanopores. A light diffusion film, a display device, and production methods thereof are also disclosed.

Abstract: In an example embodiment, position bias and other types of bias may be compensated for by using two-phase training of a machine-learned model. In a first phase, the machine-learned model is trained using non-randomized training data. Since certain types of machine-learned models, such as those involving deep learning (e.g., neural networks) require a lot of training data, this allows the bulk of the training to be devoted to training using non-randomized training data. However, since this non-randomized training data may be biased, a second training phase is then used to revise the machine-learned model based on randomized training data to remove the bias from the machine-learned model. Since this randomized training data may be less plentiful, this allows the deep learning machine-learned model to be trained to operate in an unbiased manner without the need to generate additional randomized training data.

Abstract: Variational Autoencoders (VAEs) have been shown to be effective in modeling complex data distributions. Conventional VAEs operate with fully-observed data during training. However, learning a VAE model from partially-observed data is still a problem. A modified VAE framework is proposed that can learn from partially-observed data conditioned on the fully-observed mask. A model described in various embodiments is capable of learning a proper proposal distribution based on the missing data. The framework is evaluated for both high-dimensional multimodal data and low dimensional tabular data.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for techniques for identifying textual similarity and performing answer selection. A textual-similarity computing model can use a pre-trained language model to generate vector representations of a question and a candidate answer from a target corpus. The target corpus can be clustered into latent topics (or other latent groupings), and probabilities of a question or candidate answer being in each of the latent topics can be calculated and condensed (e.g., downsampled) to improve performance and focus on the most relevant topics. The condensed probabilities can be aggregated and combined with a downstream vector representation of the question (or answer) so the model can use focused topical and other categorical information as auxiliary information in a similarity computation.

Abstract: Embodiments of the present invention disclose an image chip. The image chip includes: a processor for dividing an image frame into at least two image segments, a read circuit for reading the at least two image segments in a time-division manner, and an image synthesizer for successively performing image synthesis on the at least two image segments according to a time sequence read by the read circuit. The image frame comprises multiple layers and each layer in the multiple layers is a rectangular layer having two first boundaries. Two first boundaries of a first image segment in the at least two image segments correspond to two neighboring boundaries in all the first boundaries of the multiple layers. The image synthesis for each image segment in the at least two image segments comprises image synthesis for all sublayers in the each image segment.

Abstract: The present invention relates to the field of analog integrated circuits, and provides a multiply-accumulate calculation method and circuit suitable for a neural network, which realizes large-scale multiply-accumulate calculation of the neural network with low power consumption and high speed. The multiply-accumulate calculation circuit comprises a multiplication calculation circuit array and an accumulation calculation circuit. The multiplication calculation circuit array is composed of M groups of multiplication calculation circuits. Each group of multiplication calculation circuits is composed of one multiplication array unit and eight selection-shift units. The order of the multiplication array unit is quantized in real time by using on-chip training to provide a shared input for the selection-shift units, achieving increased operating rate and reduced power consumption.

Abstract: A process instances guard system for managing the execution of process instances based on statuses of other process instances in a business process management (BPM) engine is disclosed. The process instances guard system provides a plurality of policies for managing the execution of process instances. When a status change event related to an existing process instance is received, the process instances guard system matches the existing process instance with a policy. After determining that the existing process instance matches the prerequisite condition of a policy, the process instances guard system determines that a plurality of existing process instances match the policy target descriptor of the policy, and executes the action of the policy on the plurality of existing process instances.

Abstract: The present application provides a method and a terminal for determining a frequency to be measured. The terminal receives frequency information about an inter-frequency measurement object and frequency priority information about the inter-frequency measurement object, and determines the number of at least one frequency for the received inter-frequency measurement object according to the frequency information, and when the number of the at least one frequency for the received inter-frequency measurement object is greater than the number of at least one frequency for an inter-frequency measurement object supported by the terminal, the terminal is capable of selecting, according to the frequency priority information, at least one frequency to be measured from the at least one frequency for the received inter-frequency measurement object, wherein the number of the at least one frequency to be measured is equal to the number of frequencies for the inter-frequency measurement object supported by the terminal.

Abstract: Embodiments of the present invention disclose an image synthesis method, an image chip, and an image device. The method includes separately obtaining two coordinates, on a first coordinate axis, corresponding to two boundaries that are of each layer in multiple layers of an image frame and that are perpendicular to the first coordinate axis, so as to obtain multiple coordinates corresponding to the multiple layers. The method also includes dividing, by using the multiple coordinates, the image frame into at least two image segments perpendicular to the first coordinate axis; reading, along a direction of the first coordinate axis, the at least two image segments in a time-division manner and according to a scanning sequence. Additionally, the method includes successively performing image synthesis on the at least two image segments according to a time sequence of reading the at least two image segments, so as to generate display data.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature dependency graph of features for a machine learning model and an operator dependency graph comprising operators to be applied to the features. Next, the system generates feature values of the features according to an evaluation order associated with the operator dependency graph and feature dependencies from the feature dependency graph. During evaluation of an operator in the evaluation order, the system updates a list of calculated features with one or more features that have been calculated for use with the operator. During evaluation of a subsequent operator in the evaluation order, the system uses the list of calculated features to omit recalculation of the feature(s) for use with the subsequent operator.

Abstract: Embodiments of the present invention disclose an image chip. The image chip includes: a processor for dividing an image frame into at least two image segments, a read circuit for reading the at least two image segments in a time-division manner, and an image synthesizer for successively performing image synthesis on the at least two image segments according to a time sequence read by the read circuit. The image frame comprises multiple layers and each layer in the multiple layers is a rectangular layer having two first boundaries .Two first boundaries of a first image segment in the at least two image segments correspond to two neighboring boundaries in all the first boundaries of the multiple layers. The image synthesis for each image segment in the at least two image segments comprises image synthesis for all sublayers in the each image segment.

Abstract: A system is provided for communicating between a 3D metrology instrument and a portable computing device via near field communications. In one embodiment, the metrology device is an articulated coordinate measurement machine (AACMM), a laser tracker, a laser scanner or a triangulation scanner, and the portable communications device is a cellular phone or a tablet. The portable device may use the NFC to retrieve data stored on a circuit associated with an object to be inspected and use the data to perform an inspection on the object using the metrology device.

Abstract: An articulated arm coordinate measurement machine is provided with a power supply having multiple power sources. The power supply having an input configured to receive electrical power from an external energy supply and first and second energy storage members. The first energy storage member having a first processing circuit configured to measure at least one first parameter and transmit a first signal to the first electronic circuit. The second energy storage member having a second processing circuit configured to measure at least one second parameter and transmit a second signal to the first electronic circuit. Wherein the power supply is configure to selectively transfer electrical power from at least one of the first and second energy storage members, the power supply further being configured to change the transfer of electrical power from the first and second energy storage members in response to the first signal and second signal.

Abstract: A wheel-hub driven wind turbine apparatus is disclosed. One embodiment of the apparatus may include a body and at least one vertical-axis wind turbine blade mounted on the body to translate wind forces exerting on the at least one vertical-axis wind turbine blade to the body, causing the body to move. The apparatus may also include at least one wheel-hub attached to the body and configured to rotate when driven by the movement of the body. The apparatus may also include at least one generator coupled to the at least one wheel-hub to generate electrical power when driven by the rotation of the at least one wheel-hub.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a model definition and a training configuration for a machine-learning model, wherein the training configuration includes a set of required features, a training technique, and a scoring function. Next, the system uses the model definition and the training configuration to load the machine-learning model and the set of required features into a training pipeline without requiring a user to manually identify the set of required features. The system then uses the training pipeline and the training configuration to update a set of parameters for the machine-learning model. Finally, the system stores mappings containing the updated set of parameters and the set of required features in a representation of the machine-learning model.

Abstract: An articulated arm coordinate measurement machine is provided with a configurable arm bus. The arm bus being comprised of a plurality of busses that may be selectively coupled to form one or more logical data communications busses. The logical busses may be configured to allow accessory devices to be coupled to the arm and transmit data at higher speeds and at lower costs than may be possible using data busses having fixed communications protocols. In one embodiment, one or more communications switches may be arranged in the probe end of the arm to selectively combine the busses into a logical bus.