Abstract: A method of Atomic Precision Advanced Manufacturing (APAM) is provided, in which a substrate is doped from a dopant precursor gas. The method involves covering a surface of the substrate with a hard mask, selectively removing material from the hard mask such that selected areas of the substrate surface are laid bare, exposing the laid-bare areas to the dopant precursor gas, and heating the substrate so as to incorporate dopant from the dopant precursor gas into the substrate surface.

Abstract: A nanoscale bolometer for infrared (IR) thermal imaging comprises a subwavelength antenna that provides a specific detectivity approaching a fundamental, thermodynamic limit. The uncooled nanobolometer achieves performance comparable to cooled, high-performance, semiconductor photodetectors, but with significantly reduced size, weight, power, and cost.

Abstract: A near-bit multi-parameter downhole measurement and control system while drilling, including a ground device and a downhole assembly. The downhole assembly includes a drill bit, a multi-parameter acquisition and signal transmission sub, a positive displacement motor or drilling tool, a receiving and transmitting module, a wireless communication sub, and a non-magnetic drill collar which are connected in sequence. The multi-parameter acquisition and signal transmission sub is provided with the near-bit measuring instrument. The receiving and transmitting module is configured to receive signals from the near-bit measuring instrument and transmit the signals to the wireless communication sub. The wireless communication sub is configured to transmit the received signals to the ground device through a mud pulse generator in a form of pulse signal, and the ground device decodes and analyzes downhole data. The system can monitor and adjust the real-time changes of downhole engineering parameters timely.

Abstract: A power management integrated circuit (PMIC) chip provides power loss protection to an application device. The PMIC chip has several storage pins that each receives a set of storage capacitors that are charged using power from a power source during normal operation. An application device receives power from the power source during normal operation and receives power from an operational set of storage capacitors during power loss. A failing set of storage capacitors is disconnected from an operational set of storage capacitors and from the PMIC chip. The operational set of storage capacitors remains connected to the PMIC chip to provide power loss protection.

Abstract: Apparatus and methods for three-dimensional pose estimation are disclosed herein. An example apparatus includes an image synchronizer to synchronize a first image generated by a first image capture device and a second image generated by a second image capture device, the first image and the second image including a subject; a two-dimensional pose detector to predict first positions of keypoints of the subject based on the first image and by executing a first neural network model to generate first two-dimensional data and predict second positions of the keypoints based on the second image and by executing the first neural network model to generate second two-dimensional data; and a three-dimensional pose calculator to generate a three-dimensional graphical model representing a pose of the subject in the first image and the second image based on the first two-dimensional data, the second two-dimensional data, and by executing a second neural network model.

Abstract: A multi-camera architecture for detecting and tracking a ball in real-time. The multi-camera architecture includes network interface circuitry to receive a plurality of real-time videos taken from a plurality of high-resolution cameras. Each of the high-resolution cameras simultaneously captures a sports event, wherein each of the plurality of high-resolution cameras includes a viewpoint that covers an entire playing field where the sports event is played. The multi-camera architecture further includes one or more processors coupled to the network interface circuitry and one or more memory devices coupled to the one or more processors.

Abstract: A method and system of image processing for action classification uses fine-grained motion-attributes.

Abstract: Airway adapters, suction catheter systems, and methods of using the same are described herein. An exemplary airway adapter assembly may comprise a connector body portion having a first end and a second end, an elongate cavity having an axial center can be defined between the first and the second end, and a valve can be coupled to the second end of the connector body. The exemplary airway adapter assembly may also comprise a ventilation base member comprising a tubular portion coupled to the second end of the connector body portion and ventilator port. The ventilator port may comprises a conduit having a first conduit end and a second conduit end, and the first conduit end may be coupled to the tubular portion through an articulable connection. An exemplary closed suction catheter system may comprise a suction control valve assembly and a closed suction catheter sheath.

Abstract: Methods of treating cancer related conditions using anamorelin are described.

Abstract: An approach is disclosed for real-time object tracking. The approach involves, for example, using a first object tracking mechanism to detect and associate one or more objects from frame to frame of a video. The approach also involves initiating one or more second object tracking mechanisms to track the one or more objects detected by the first object tracking mechanism from frame to frame of the video in parallel with the first object tracking mechanism. The approach further involves using a tracking output of the one or more second object tracking mechanisms in place of the first object tracking mechanism for a frame of the video based on determining that first object tracking mechanism has missed a detection of the object in the frame of the video.

Abstract: A fast self-tuning method of gain applied to a servo actuator connected with a motor is disclosed and includes following steps: retrieving a current-feedback information of the motor to compute a torque estimated value; retrieving a position-feedback information of the motor to compute an acceleration estimated value; computing a system inertia based on the torque estimated value and the acceleration estimated value, wherein the system inertia indicates an inertia of the motor carrying a specific load; computing an estimated control gain for the servo actuator based on the system inertia; and, performing a self-tuning procedure by the servo actuator in accordance with the estimated control gain.

Abstract: Methods and apparatus are disclosed for enhancing a binary weight neural network using a dependency tree. A method of enhancing a convolutional neural network (CNN) having binary weights includes constructing a tree for obtained binary tensors, the tree having a plurality of nodes beginning with a root node in each layer of the CNN. A convolution is calculated of an input feature map with an input binary tensor at the root node of the tree. A next node is searched from the root node of the tree and a convolution is calculated at the next node using a previous convolution result calculated at the root node of the tree. The searching of a next node from root node is repeated for all nodes from the root node of the tree, and a convolution is calculated at each next node using a previous convolution result.

Abstract: A neural network (NN) processing method is provided. An AI (artificial intelligence) compiler code of an AI compiler is transformed to a garbled circuit code by performing following steps. A circuit graph of a garbled circuit having logic gates corresponding to the garbled circuit code is sent to an electrical device by a server. Key codebooks for candidate gates corresponding to each logic gate are creating by the electrical device. Garbled truth tables for the candidate gates corresponding to each logic pate are generated and transmitted to the server by the electrical device through using OT (Oblivious Transfer) protocol. A target garbled truth table of each logic gate is generated by the server. Afterward, an NN model is encrypted according to the key codebooks by the electrical device and a compiled NN model of an encrypted NN model are generated by the server.

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: A lithium-based energy storage system includes an electrolyte and an electrode. The electrode has a conformal coating of parylene. The parylene forms an artificial solid electrolyte interface (SEI). The electrode may include a material chosen from silicon, graphene-silicon composite, carbon-sulfur, and lithium. The use of parylene to form a conformal coating on an electrode in a lithium-based energy storage system is also disclosed.

Abstract: An adaptive learning power modeling method includes: sampling at least one of a plurality of network components to form a power consumption evaluation network according to at least one parameter within a parameter range; evaluating a predictive power consumption of a to-be-measured circuit by the power consumption evaluation network; training and evaluating an actual power consumption and the predictive power consumption of the to-be-measured circuit by the power consumption evaluation network to obtain an evaluation result; and performing training according to the evaluation result to determine whether to change the power consumption evaluation network.

Abstract: Techniques are disclosed for providing improved pose tracking of a subject using a 2D camera and generating a 3D image that recreates the pose of the subject. A 3D skeleton map is estimated from a 2D skeleton map of the subject using, for example, a neural network. A template 3D skeleton map is accessed or generated having bone segments that have lengths set using, for instance, anthropometry statistics based on a given height of the template 3D skeleton map. An improved 3D skeleton map is then produced by at least retargeting one or more of the plurality of bone segments of the estimated 3D skeleton map to more closely match the corresponding template bone segments of the template 3D skeleton map. The improved 3D skeleton map can then be animated in various ways (e.g., using various skins or graphics) to track corresponding movements of the subject.

Abstract: The present disclosure provides an electric jack with a current limiting protector, which relates to the technical field of mechanical equipment. The electric jack with the current limiting protector includes: a current limiting protector, a four-pin double-reset switch, a control motor, and a supporting leg main body. The current limiting protector is connected in parallel to the control motor through the four-pin double-reset switch. The current limiting protector, the four-pin double-reset switch, and the control motor are detachably mounted on the supporting leg main body. A first wiring terminal, a second wiring terminal, a third wiring terminal, a fourth wiring terminal, a fifth wiring terminal, and a current limiting protection circuit are distributed on the current limiting protector.

Abstract: Methods and apparatus are disclosed for enhancing a neural network using binary tensor and scale factor pairs. For one example, a method of optimizing a trained convolutional neural network (CNN) includes initializing an approximation residue as a trained weight tensor for the trained CNN. A plurality of binary tensors and scale factor pairs are determined. The approximation residue is updated using the binary tensors and scale factor pairs.

Abstract: A medical fixing system includes: a first fixing device fixed to a target lesion and having a first joining part and a first auxiliary fixing portion; a second fixing device fixed to the target lesion and having a second auxiliary fixing portion; a cord-receiving device connected to the first joining part of the first fixing device; and a fixing cord in contact with the first auxiliary fixing portion and the second auxiliary fixing portion and connected to the cord-receiving device. The cord-receiving device has a cord-receiving mechanism. The cord-receiving device adjusts an exposed length of the fixing cord with the cord-receiving mechanism.