Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: A data processing method includes, based on a transfer control parameter corresponding to a storage location transfer event of distributed business data in a distributed storage system within a first time, predicting a first transfer control parameter usable by the distributed storage system within a second time for the transfer event, obtaining a second transfer control parameter that the distributed storage system is capable of providing within the second time in a case that the storage location transfer event does not occur, and controlling a transfer of the distributed business data within the second time based on the first transfer control parameter and the second transfer control parameter.

Abstract: Techniques related to bidirectional compact deep fusion networks for multimodal image inputs are discussed. Such techniques include applying a shared convolutional layer and independent batch normalization layers to input volumes for each modality and fusing features from the resultant output volumes in both directions across the modalities.

Abstract: Methods, systems and apparatuses may provide for technology that selects a player from a plurality of players based on an automated analysis of two-dimensional (2D) video data associated with a plurality of cameras, wherein the selected player is nearest to a projectile depicted in the 2D video data. The technology may also track a location of the selected player over a subsequent plurality of frames in the 2D video data and estimate a location of the projectile based on the location of the selected player over the subsequent plurality of frames.

Abstract: A method for alleviating radiation-induced skin disorder (e.g., radiation dermatitis), comprising administering to a subject in need thereof an effective amount of a pharmaceutical composition comprising salvigenin, and optionally cirsimaritin, rosmarinic acid, carvacrol, or a combination thereof.

Abstract: A method of forming a semiconductor device, comprising: forming a first conductive layer on an active device of a substrate; forming a dielectric layer on the first conductive layer; forming a through hole passing through the dielectric layer to expose a portion of the first conductive layer; conformally depositing a glue layer in the through hole to cover the portion of the first conductive layer comprising: forming a plurality of isolated lattices in an amorphous region at which the isolated lattices are uniformly distributed and extend from a top surface of the glue layer and terminate prior to reach a bottom of the glue layer, wherein the glue layer has a predetermined thickness; depositing a conductive material on the glue layer within the through hole, thereby forming a contact via; and forming a second conductive layer on the contact via over the first conductive layer.

Abstract: Omni-scale convolution for convolutional neural networks is disclosed. An example of an apparatus includes one or more processors to process data, including processing for a convolutional neural network (CNN); and a memory to store data, including CNN data, wherein processing of input data by the CNN includes implementing omni-scale convolution in one or more convolutional layers of the CNN, implementation of the omni-scale convolution into a convolutional layer of the one or more convolutional layers including at least applying multiple dilation rates in a plurality of kernels of a kernel lattice of the convolutional layer, and applying a cyclic pattern for the multiple dilation rates in the plurality of kernels of the convolutional layer.

Abstract: A method for inhibiting immune responses, comprising administering to a subject in need thereof an effective amount of a pharmaceutical composition comprising salvigenin, and optionally cirsimaritin, rosmarinic acid, carvacrol, or a combination thereof.

Abstract: Embodiments of this application provide a semiconductor device, an electronic device, and a semiconductor device preparation method, and relate to the field of chip manufacturing and packaging technologies, to improve heat dissipation efficiency of the semiconductor device without increasing a size. The semiconductor device includes: a substrate, a source, a drain, a gate, and a groove. The source, the drain, and the gate are all formed on the substrate, and an active region is formed between the source and the drain on the substrate. The groove is disposed in the substrate, and a spacing is formed between the groove and the active region. A heat dissipation layer is formed in the groove, and a coefficient of thermal conductivity of the heat dissipation layer is greater than that of the substrate.

Abstract: Techniques related to 3D pose estimation from a 2D input image are discussed. Such techniques include incrementally adjusting an initial 3D pose generated by applying a lifting network to a detected 2D pose in the 2D input image by projecting each current 3D pose estimate to a 2D pose projection, applying a residual regressor to features based on the 2D pose projection and the detected 2D pose, and combining a 3D pose increment from the residual regressor to the current 3D pose estimate.

Abstract: A method for preparing a Plectranthus amboinicus (PA) extract, the method comprising extracting an above-ground part of Plectranthus amboinicus with an extracting solution that comprises a solvent having a suitable polarity index, filtrating and concentration the extract thus produced, and subject the concentrated extract to a chromatographic separation process using a hydrophobic interaction chromatography resin to produce the PA extract.

Abstract: An information transmission method and an electronic device are provided. The information transmission method is applied to an ultrasonic wave transmitting device, and includes: transmitting a Bluetooth wake-up signal; obtaining an ultrasonic transmission signal based on information to be transmitted; and transmitting the ultrasonic transmission signal to an ultrasonic wave receiving device, wherein the Bluetooth wake-up signal is configured to wake up the ultrasonic wave receiving device to receive the ultrasonic transmission signal. In the ultrasonic wave receiving device, such elements as a decoder and an acoustic wave receiver may be in a normally-off state; and when it is needed to transmit information through an ultrasonic wave, the ultrasonic wave transmitting device first transmits the Bluetooth wake-up signal; and upon the reception of the Bluetooth wake-up signal, the ultrasonic wave receiving device wakes up related elements to receive the ultrasonic signal.

Abstract: Techniques related to key person recognition in multi-camera immersive video attained for a scene are discussed. Such techniques include detecting predefined person formations in the scene based on an arrangement of the persons in the scene, generating a feature vector for each person in the detected formation, and applying a classifier to the feature vectors to indicate one or more key persons in the scene.

Abstract: An example redundant power supply system comprises a power supply input to receive power from a power supply; a buck-boost converter coupled to the power supply input; and a controller coupled to the buck-boost converter. The controller is to receive a power supply identification signal from the power supply. The controller is also to enable or disable the buck-boost converter based on the power supply identification signal.

Abstract: Embodiments are generally directed to methods and apparatuses for determining a game status. An embodiment of a method for determining a game status comprises: detecting players and a ball in a plurality of continuous frames captured by a plurality of cameras; obtaining tracking data of the players and the ball of the plurality of continuous frames; and determining a game status for each of the plurality of continuous frames based on the tracking data of the players and the ball of the plurality of continuous frames.

Abstract: Methods and apparatus for discrimitive semantic transfer and physics-inspired optimization in deep learning are disclosed. A computation training method for a convolutional neural network (CNN) includes receiving a sequence of training images in the CNN of a first stage to describe objects of a cluttered scene as a semantic segmentation mask. The semantic segmentation mask is received in a semantic segmentation network of a second stage to produce semantic features. Using weights from the first stage as feature extractors and weights from the second stage as classifiers, edges of the cluttered scene are identified using the semantic features.

Abstract: Provided herein are methods of using niflumic acid and derivatives thereof for treating a disease or condition associated with elevated serum uric levels in a subject. The methods include administering to the subject an effective amount of a pharmaceutical composition as described herein. The disease or condition associated with elevated serum uric levels can include, for example, gout, hyperuricemia, or cardiovascular disease. Also provided herein are methods of reducing serum uric acid levels in a subject and methods for inhibiting xanthine oxidase activity in a cell. Novel pharmaceutical compositions are also provided herein.

Abstract: Systems, apparatus and methods are provided for power management of non-volatile storage (NVM) systems. A non-volatile storage system may include a first interface to be coupled to a host, a NVM device, a storage controller including a command queue and a processor, and a second interface coupling the storage controller and the NVM device. The processor may be configured to handle data transfer requests from the host in an active power state, monitor the command queue and a data transfer rate on the first interface, determine that the data transfer rate falls below a predetermined threshold and the command queue is empty, enter a pseudo-idle power state, determine that there is a new command from the host, and exit the pseudo-idle power state and enter the active power state.

Abstract: Techniques related to implementing and training image classification networks are discussed. Such techniques include applying shared convolutional layers to input images regardless of resolution and applying normalization selectively based on the input image resolution. Such techniques further include training using mixed image size parallel training and mixed image size ensemble distillation.

Abstract: A physically unclonable function (PUF) and a method of reading it are provided. The PUF is constituted by a microfabricated array of randomly polarized micromagnets disposed on a substrate. The PUF can be read by creating a magnetization map of the PUF from the signal output of a quantum diamond microscope (QDM) and converting the magnetization map to a numerical sequence.