Abstract: Methods and systems for gesture-based control of a device are described. A virtual gesture-space is determined in a received input frame. The virtual gesture-space is associated with a primary user from a ranked user list of users. The received input frame is processed in only the virtual gesture-space, to detect and track a hand. Using a hand bounding box generated by detecting and tracking the hand, gesture classification is performed to determine a gesture input associated with the hand. A command input associated with the determined gesture input is processed. The device may be a smart television, a smart phone, a tablet, etc.

Abstract: The present invention provides compounds represented by Formula I, or pharmaceutically acceptable salts, stereoisomers, solvates, hydrates or combination thereof, The invention also provides pharmaceutical compositions comprising these compounds and methods of using this compounds for treating FXR-mediated or TGR5-mediated diseases or conditions.

Abstract: Methods, systems, and media for image searching are described. Images comprising one query image and a plurality of candidate images are received. For each candidate image, a first model similarity measure from an output of a first model configured for scene classification to perceive scenes in the images is determined. Further, for each candidate image of the plurality of candidate images, a second model similarity measure from the output of a second model configured for attribute classification to perceive attributes in the images is determined. For each candidate image of the plurality of candidate images, a similarity agglomerate index of a weighted aggregate of the first model similarity measure and the second model similarity measure is computed. The plurality of candidate images based on the respective similarity agglomerate index of each candidate image are ranked and a first ranked candidate images corresponding to the searched images are generated.

Abstract: A flexible capacitive tactile sensor is provided. The flexible capacitive tactile sensor may include a first flexible electrode layer, a second flexible electrode layer, and an ion gel thin film dielectric layer disposed between the first flexible electrode layer and the second flexible electrode layer. A first electrode array is disposed on the first flexible electrode layer. The first electrode array may include m series-connected electrodes parallel to a second direction. A second electrode array is disposed on the second flexible electrode layer. The second electrode array may include n series-connected electrodes parallel to a first direction. The first electrode array and the second electrode array may be disposed opposite to each other, and the first direction may be different from the second direction. The first electrode array, the second electrode array, and the ion gel thin film dielectric layer may form m×n electric double layer capacitors.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing neural architecture search for machine learning models. In one aspect, a method comprises receiving training data for a machine learning, generating a plurality of candidate neural networks for performing the machine learning task, wherein each candidate neural network comprises a plurality of instances of a layer block composed of a plurality of layers, for each candidate neural network, selecting a respective type for each of the plurality of layers from a set of layer types that comprises, training the candidate neural network and evaluating performance scores for the trained candidate neural networks as applied to the machine learning task, and determining a final neural network for performing the machine learning task based at least on the performance scores for the candidate neural networks.

Abstract: A display device and a manufacturing method thereof, an electronic device, and a light control panel are provided. The display device includes a light control panel and a display liquid crystal panel. The display liquid crystal panel is on a light-emitting side of the light control panel; the light control panel includes a light control region, and the light control region is configured to provide adjusted backlight to the display liquid crystal panel; the display liquid crystal panel includes a display region, and the display region is configured to receive the adjusted backlight to perform display; and a distance between two opposite edges of the light control region in at least one direction is greater than a distance between two opposite edges of the display region in the at least one direction.

Abstract: A device for accurately measuring bending strain of a superconducting strand is provided. The bending strain precision measuring device includes a support frame. A driving mechanism is installed on the upper part of the support frame. An output end of the driving mechanism is sequentially connected with a weighing sensor and a pressure transmission module from top to bottom along the vertical direction. A bending strain module is installed on the lower part of the support frame. In a case that the output end of a driving mechanism moves downwards, the pressure transmission mechanism is capable of applying pressure to the superconducting strand placed on the bending strain module.

Abstract: Methods and systems for gesture-based control of a device are described. A virtual gesture-space is determined in a received input frame. The virtual gesture-space is associated with a primary user from a ranked user list of users. The received input frame is processed in only the virtual gesture-space, to detect and track a hand. Using a hand bounding box generated by detecting and tracking the hand, gesture classification is performed to determine a gesture input associated with the hand. A command input associated with the determined gesture input is processed. The device may be a smart television, a smart phone, a tablet, etc.

Abstract: Systems and methods for temporal action localization of video data are described. A feature representation extracted from video data has a temporal dimension and a spatial dimension. The feature representation is self-aligned in the spatial dimension. Spatial multi-sampling is performed to obtain a plurality of sparse samples of the self-aligned representation along the spatial dimension, and the multi-sampled representation is fused with the self-aligned representation. Attention-based context information aggregation is applied on the fused representation to obtain a spatially refined representation. Local temporal information aggregation is applied on the self-aligned representation to obtain a temporally refined representation. Action localization is performed on a concatenation of the spatially refined representation and the temporally refined representation.

Abstract: Systems, methods, and computer media of processing a video are disclosed. An example method may include: receiving a plurality of video frames of a video; generating a plurality of first input features based on the plurality of video frames; generating a plurality of second input features based on reversing a temporal order of the plurality of first input features; generating a first set of joint attention features based on the plurality of first input features; generating a second set of joint attention features based on the plurality of second input features; and concatenating the first set of joint attention features and the second set of joint attention features to generate a final set of joint attention features.

Abstract: The present invention discloses methods of quantitative multiplex amplicon sequencing system for labeling the original DNA sample with an oligonucleotide barcode sequence by polymerase chain reaction, amplifying the genomic region(s) for high-throughput sequencing and quantifying the sequence in DNA sample. The methods allow analyzing a DNA sample comprising between 1 and 10,000 Target Regions for quantifying potential sequence variants and wildtype molecules.

Abstract: An expansion tool includes a housing, a collar rotatably coupled to the housing, a plurality of jaws coupled for co-rotation with the collar, a mandrel movable relative to the housing between a retracted position and an extended position to expand the jaws, and a drive mechanism including a rotatable cam. Rotation of the cam moves the mandrel between the retracted position and the extended position. The expansion tool further includes an indexing gear configured to incrementally receive torque from the drive mechanism such that continuous rotation of the drive mechanism incrementally rotates the indexing gear, and a clutch assembly including a clutch gear meshed with the indexing gear, a clutch cover surrounding the clutch gear, and a plurality of rolling elements disposed between the clutch gear and the clutch cover. The clutch cover is drivably coupled to the collar such that rotation of the clutch cover rotates the collar.

Abstract: Methods and devices for machine vision-based selection of content are described. One or more hands are detected in a current frame of video data. A respective fingertip location is determined for each of up to two of the detected hands. A content selection gesture is determined corresponding to the up to two detected hands. Selected content is extracted, as indicated by the content selection gesture and based on the up to two fingertip locations. The device may be a smartphone, a tablet, a laptop, a smart light device, a reader device, etc.

Abstract: Method and devices for training a keypoint estimation network are described. In each training iteration, synthetic images are generated by a generator, each synthetic image being assigned respective assigned keypoints by the generator. Using a prior-iteration of the keypoint estimation network, a set of predicted keypoints is obtained for each synthetic image. Based on an error score between the predicted keypoints and the assigned keypoints, poor quality synthetic images are discarded. The remaining synthetic images, together with real world images, are used to train an updated keypoint estimation network. The performance of the updated keypoint estimation network is validated, and the training iterations are performed until a convergence criteria is satisfied.

Abstract: The present invention provides compounds of Formula I, pharmaceutical compositions comprising these compounds and methods of using these compounds to prevent or treat FXR-mediated or TGR5-mediated diseases or conditions.

Abstract: An example method of providing a common volume (cVol) datastore for virtual machines (VMs) managed by a hypervisor in a cloud computing system includes: mounting, by the hypervisor in cooperation with a network file system server, a network file system share of a common volume (cVol), the network file system share storing metadata for the VMs; creating a file system container backed by the network file system share; routing file operations targeting the metadata to the file system container; attaching cloud volumes as devices on a host of the hypervisor, the cloud volumes referenced by descriptors in the metadata; and routing file operations targeting virtual disks of the VMs to the devices.

Abstract: An example method of providing a common volume (cVol) datastore for virtual machines (VMs) managed by a hypervisor in a virtualized computing system is described. The method includes: mounting, by the hypervisor, a network file system share of a common volume (cVol), the cVol stored in shared storage of the virtualized computing system, the network file system share storing metadata for the VMs; creating a file system for the cVol datastore backed by the network file system share; routing file operations targeting the metadata to the file system for the cVol datastore; and routing file operations targeting virtual disks of the VMs to an object storage pool of the cVol based on descriptors in the metadata that point to objects backing the virtual disks.

Abstract: Provided herein are methods for labeling input DNA with oligonucleotide barcode sequences, and selective PCR amplification of DNA sequence variants across the targeted regions for variant quantitation.

Abstract: Methods and systems are described for performing video retrieval together with video grounding. A word-based query for a video is and encoded into a query representation using a trained query encoder. One or more similar video representations are identified, from a plurality of video representations that are similar to the query representation. Each similar video representation represents a respective relevant video. A grounding is generated for each relevant video by forward propagating each respective similar video representation together with the query representation through a trained grounding module. The relevant videos or identifiers of the relevant videos are outputted together with the grounding generated for each relevant video.

Abstract: A method for dynamic storage object configuration in a datacenter is provided. Embodiments include determining a number of fault domains in a storage cluster that have sufficient storage capacity for creating a storage object. Embodiments include applying a dynamic fault tolerance policy to the number of fault domains that have sufficient capacity for creating the storage object in order to determine a number of host failures to tolerate for the storage object, the dynamic fault tolerance policy specifying a manner of determining, for any respective storage object, a respective number of host failures to tolerate for storing the respective storage object in a respective storage cluster based on at least a respective number of fault domains of the respective storage cluster. Embodiments include implementing the storage object on the storage cluster based on the number of host failures to tolerate for the storage object.