Abstract: A method of starting voice assistant is adapted to an electronic device. The method comprises providing electric power to a wake-up assembly of the electronic device, wherein the electronic device is in a sleep state, obtaining an wake-up signal by the wake-up assembly and performing an wake-up procedure, providing the power to a processor of the electronic device and a communication module of the electronic device to wake up the electronic device from the sleep state after the wake-up signal passing the wake-up procedure, and performing a voice assistant procedure by the processor and the communicatively connecting to a voice assistant server by the communication module.

Abstract: A wearable electronic device includes a primary bead, two spacer beads and a bead string. The two spacer beads each defines a first side and a second side opposite to each other. The first sides of the two spacer beads are respectively disposed on two opposite sides of the primary bead. Two ends of the bead string are respectively connected to the second sides of the two spacer beads.

Abstract: The invention provides an intelligent electronic product including a wearable device, a seat, a wireless charging device and a first magnet set. The wearable device includes a main bead and sub-beads connected to the main bead. The seat has an accommodating space. The wireless charging device includes a wireless power receiving module located in the main bead and a wireless power transmitting module located in the seat. The first magnet set includes a first magnet located in the main bead and a second magnet located in the seat which have opposite magnetic poles. When the main bead is accommodated in the accommodating space, the first magnet and the second magnet attract to position the main bead in a charging position, such that the wireless power receiving module and the wireless power transmitting module form a wirelessly charging loop for wirelessly charging the main bead.

Abstract: A multi-beam phased antenna structure and a controlling method are provided. The multi-beam phased antenna structure includes a main antenna array and a passive beam forming circuit. The main antenna array includes a plurality of first main antennas and a plurality of second main antennas. The first main antennas are spaced out a predetermined distance. The predetermined distance is related to a coverage of the multi-beam phased antenna structure. The first main antennas and the second main antennas are interleaved. The second main antennas are spaced out the predetermined distance. The passive beam forming circuit includes a plurality of main phase shifters. The main phase shifters are electrically coupled to the second main antennas, such that a difference between a first phase of each of the first main antennas and a second phase of each of the second main antennas is substantially 180°.

Abstract: Systems and methods for providing a predictive framework are provided. The predictive framework comprises plural neural layers of adaptable, executable neurons. Neurons accept one or more input signals and produce an output signal that may be used by an upper-level neural layer. Input signals are received by an encoding neural layer, where there is a 1:1 correspondence between an input signal and an encoding neuron. Input signals for a set of data are received at the encoding layer and processed successively by the plurality of neural layers. An objective function utilizes the output signals of the topmost neural layer to generate predictive results for the data set according to an objective. In one embodiment, the objective is to determine the likelihood of user interaction with regard to a specific item of content in a set of search results, or the likelihood of user interaction with regard to any item of content in a set of search results.

Abstract: A wearable electronic device includes a primary bead, two spacer beads and a bead string. The two spacer beads each defines a first side and a second side opposite to each other. The first sides of the two spacer beads are respectively disposed on two opposite sides of the primary bead. Two ends of the bead string are respectively connected to the second sides of the two spacer beads.

Abstract: A wearable electronic device includes a primary bead, two spacer beads and a bead string. The two spacer beads each defines a first side and a second side opposite to each other. The first sides of the two spacer beads are respectively disposed on two opposite sides of the primary bead. Two ends of the bead string are respectively connected to the second sides of the two spacer beads.

Abstract: A computational search method for retrieving computer information related to a query includes transforming a plurality of candidate answers to candidate answer recurrent binary embedding (RBE) embeddings using a trained RBE model. A query is transformed to a query RBE embedding using the trained RBE model. The query RBE embedding is compared to each candidate answer RBE embedding of a plurality of candidate answer RBE embeddings using a similarity function. The candidate answers are sorted based on the comparisons made using the similarity function, and returning a plurality of the top candidate answers.

Abstract: A method for manufacturing an electronic device is disclosed. In the method, a first shell and a second shell are formed. The first shell and the second shell are assembled with each other to form a casing for receiving an electronic module. The two opposite ends of the casing respectively have a first opening and a second opening. The first opening and the second opening are aligned with each other along an extending direction. A seam is located at an outer surface of the casing and between the first shell and the second shell. A paint level is formed on the outer surface of the casing to cover the seam. The casing is moved toward a water transferring film along the extending direction which is vertical to the water transferring film for connecting the water transferring film with the paint level.

Abstract: The invention provides an intelligent electronic product including a wearable device, a seat, a wireless charging device and a first magnet set. The wearable device includes a main bead and sub-beads connected to the main bead. The seat has an accommodating space. The wireless charging device includes a wireless power receiving module located in the main bead and a wireless power transmitting module located in the seat. The first magnet set includes a first magnet located in the main bead and a second magnet located in the seat which have opposite magnetic poles. When the main bead is accommodated in the accommodating space, the first magnet and the second magnet attract to position the main bead in a charging position, such that the wireless power receiving module and the wireless power transmitting module form a wirelessly charging loop for wirelessly charging the main bead.

Abstract: Functionality is described herein for generating a model on the basis of user-behavioral data and knowledge data. In one case, the user-behavioral data identifies queries submitted by users, together with selections made by the users in response to the queries. The knowledge data represents relationships among linguistic items, as expressed by one or more structured knowledge resources. The functionality leverages the knowledge data to supply information regarding semantic relationships which may not be adequately captured by the user-behavioral data, to thereby produce a more robust and accurate model (compared to a model produced on the basis of only user-behavioral data). Functionality is also described herein for applying the model, once trained. In one case, the model may correspond to a deep learning model.

Abstract: Method for measuring residual strain in a cured composite part includes taking a first image of at least two spaced apart particles positioned on a side of the cured composite part with the side positioned transverse to a first face side. The cure composite part includes a first ply has fibers and a second ply has fibers wherein the first ply and the second ply are positioned in overlying relationship to one another. At least a portion of the fibers of the first ply are positioned in angular relationship with at least a portion of the fibers of the second ply. The at least two spaced apart particles are associated with the second ply. Further included is a step of removing at least a portion of the first ply and taking a second image of the at least two spaced apart particles.

Abstract: A deep embedding forest-based (DEF) model for improving on-line serving time for classification learning methods and other tasks such as, for example, predicting user selection of search results provided in response to a query or for image, speech or text recognition. Initially, a deep neural network (DNN) model is trained to determine parameters of an embedding layer, a stacking layer, deep layers and a scoring layer thereby reducing high dimensional features. After training the DNN model, the parameters of the deep layers and the scoring layer of the DNN model and discarded and the parameters of the embedding layer and the stacking layer are extracted. The extracted parameters from the DNN model then initialize parameters of an embedding layer and a stacking layer of the DEF model such that only a forest layer of the DEF model is then required to be trained. Output from the DEF model is stored in computer memory.

Abstract: A multi-beam phased antenna structure and a controlling method are provided. The multi-beam phased antenna structure includes a main antenna array and a passive beam forming circuit. The main antenna array includes a plurality of first main antennas and a plurality of second main antennas. The first main antennas are spaced out a predetermined distance. The predetermined distance is related to a coverage of the multi-beam phased antenna structure. The first main antennas and the second main antennas are interleaved. The second main antennas are spaced out the predetermined distance. The passive beam forming circuit includes a plurality of main phase shifters. The main phase shifters are electrically coupled to the second main antennas, such that a different between a first phase of each of the first main antennas and a second phase of each of the second main antennas is substantially 180°.

Abstract: Systems and methods for providing a predictive framework are provided. The predictive framework comprises plural neural layers of adaptable, executable neurons. Neurons accept one or more input signals and produce an output signal that may be used by an upper-level neural layer. Input signals are received by an encoding neural layer, where there is a 1:1 correspondence between an input signal and an encoding neuron. Input signals for a set of data are received at the encoding layer and processed successively by the plurality of neural layers. An objective function utilizes the output signals of the topmost neural layer to generate predictive results for the data set according to an objective. In one embodiment, the objective is to determine the likelihood of user interaction with regard to a specific item of content in a set of search results, or the likelihood of user interaction with regard to any item of content in a set of search results.

Abstract: A composite structure having a base charge and an outer channel charge is provided. The outer channel charge has an inner radius and an outer radius. A charge of plies adjacent to the inner radius reduces the inner radius.

Abstract: A composite structure having a base charge and an outer channel charge is provided. The outer channel charge has an inner radius and an outer radius. A charge of plies adjacent to the inner radius reduces the inner radius.

Abstract: Functionality is described herein for generating a model on the basis of user-behavioral data and knowledge data. In one case, the user-behavioral data identifies queries submitted by users, together with selections made by the users in response to the queries. The knowledge data represents relationships among linguistic items, as expressed by one or more structured knowledge resources. The functionality leverages the knowledge data to supply information regarding semantic relationships which may not be adequately captured by the user-behavioral data, to thereby produce a more robust and accurate model (compared to a model produced on the basis of only user-behavioral data). Functionality is also described herein for applying the model, once trained. In one case, the model may correspond to a deep learning model.

Abstract: Videos are retargeted to a target display for viewing with little to no geometric distortion or video information loss. Salient regions of video frames may be determined using scale-space spatiotemporal information. Video information loss may be a result of spatial loss, due to cropping, and resolution loss, due to resizing. A desired cropping window may be determined using a coarse-to-fine searching strategy. Video frames may be cropped with a window that matches an aspect ratio of the target display, and resized isotropically to match a size of the target display.

Abstract: Computer-readable media and computerized methods for utilizing an awareness of video content within a media file to incorporate an advertisement therein are provided. Building the video-content awareness involves performing an offline authoring process to generate a trajectory. In particular, the offline authoring process includes targeting an object appearing in the video content, tracking movement of the object over a sequence of frames within the media file, and, based on the tracked movement, writing locations of the object to the trajectory. In an online rendering process, invoked upon initiating play of the media file, the advertisement is automatically selected and dynamically placed on top of the video content as a function of the locations within the trajectory. Accordingly, by repositioning the advertisement (typically an animation) within the video content based on the movement of the object, an illusion that the advertisement visually interacts with the object is generated.