Abstract: Various embodiments described herein relate to systems and methods for monitoring health of a user in a facility. In this regard, telemetry data from one or more sensors in a facility is received such that at least a portion of the telemetry data includes health data of a user in the facility. The health data is then filtered to determine heart rate signal and respiratory rate signal. The heart rate signal and respiratory rate signal is monitored over a pre-defined time period. The monitored heart rate signal and respiratory rate signal is then compared with one or more pre-defined thresholds. Based on the comparison of the monitored heart rate signal and respiratory rate signal, a possible health issue for the user is predicted by a machine learning algorithm. Further, in this regard, one or more alerts are generated based on the possible health issue that is predicted for the user.

Abstract: Techniques to reduce signal interference between wired signals communicated within an electronic device and wireless signals transmitted to or received from antennas of the electronic device are disclosed. The electronic device includes an interposer with an inner fence and an outer fence having offset gaps to prevent a pathway otherwise formed by overlapping tabs, where the pathway allows noise leakage from the wired signals. In some embodiments, the electronic device (e.g., in a main logic board package) includes a ground fencing of ground vias to prevent the noise leakage from harmonics associated with signal vias communicating the wired signals. The spacing between the ground vias is based on frequencies of signals that the ground vias are intended to block.

Abstract: Modified integrin polypeptides are provided. Methods of identifying binding agents that bind to a modified integrin polypeptide are also provided.

Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.

Abstract: A building system of a building, the building system including one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to update a building condition of an HVAC system of a space in a building at a time t1, wherein the building condition is updated from a default building condition. The instructions when executed by the one or more processors, cause the one or more processors to update the building condition of the space at a time t2 and receive an occupant response of an occupant from the space. The instructions when executed by the one or more processors, cause the one or more processors to update an artificial intelligence (AI) model based on the occupant response and generate, using the AI model, one or more actions for the HVAC system of a plurality of spaces.

Abstract: A system and method of automatic product attribute recognition receive training images having bounding boxes associated with one or more products in the training images, receive attribute values for each of the one or more products in the training images, and train a first convolutional neural network (CNN) model to generate bounding boxes for and identify each of the one or more products with the training images until the accuracy of the first CNN model is above a first predetermined threshold. The system and method further train a second CNN model for each of the products associated with the cropped images until the second CNN generates attribute values for the one or more attributes with an accuracy above a second predetermined threshold, and automatically recognize the one or more attributes for a new product image by presenting the product image to the first and second CNN models.

Abstract: A system and method of automatic product attribute recognition receive training images having bounding boxes associated with one or more products in the training images, receive attribute values for each of the one or more products in the training images, and train a first convolutional neural network (CNN) model to generate bounding boxes for and identify each of the one or more products with the training images until the accuracy of the first CNN model is above a first predetermined threshold. The system and method further train a second CNN model for each of the products associated with the cropped images until the second CNN generates attribute values for the one or more attributes with an accuracy above a second predetermined threshold, and automatically recognize the one or more attributes for a new product image by presenting the product image to the first and second CNN models.

Abstract: A package for multiple integrated circuit dies (e.g., chips). Various common couplers are layered between the chips and package contacts of the package. Each of the chips has a planar surface (e.g., a flat top surface) along which the chips include die contacts. The common couplers lie along the planar surface of each of the chips, and electrically connects the die contacts of the chips to the package contacts of the package. This allows the chips, the common couplers, and the package contacts to be stacked together to form a relatively thin, compact package. The common couplers connect the die contacts of any particular type to the corresponding package contacts of that particular type, such that the die contacts need not have the same layout as the package contacts, thus allowing packages with the same package contact layouts to be used to package chips with varying die contact layouts.

Abstract: A system and method of automatic product attribute recognition receive training images having bounding boxes associated with one or more products in the training images, receive attribute values for each of the one or more products in the training images, and train a first convolutional neural network (CNN) model to generate bounding boxes for and identify each of the one or more products with the training images until the accuracy of the first CNN model is above a first predetermined threshold. The system and method further train a second CNN model for each of the products associated with the cropped images until the second CNN generates attribute values for the one or more attributes with an accuracy above a second predetermined threshold, and automatically recognize the one or more attributes for a new product image by presenting the product image to the first and second CNN models.

Abstract: A system and method of automatic product attribute recognition receive training images having bounding boxes associated with one or more products in the training images, receive attribute values for each of the one or more products in the training images, and train a first convolutional neural network (CNN) model to generate bounding boxes for and identify each of the one or more products with the training images until the accuracy of the first CNN model is above a first predetermined threshold. The system and method further train a second CNN model for each of the products associated with the cropped images until the second CNN generates attribute values for the one or more attributes with an accuracy above a second predetermined threshold, and automatically recognize the one or more attributes for a new product image by presenting the product image to the first and second CNN models.

Abstract: Fuel dispensing can be performed by receiving a user input indicative of a fuel code via a graphical user interface (GUI) of a fueling system. The fuel code is provided to a fuel exchange system and relayed to a remote server using an application programming interface (API). A validation data object for validating the fuel code is received from the remote server via the API. In response to the validation data object, the fueling system automatically transition from an inactive state to an active state to dispense fuel to a user entity. Fuel event data is generated based on the dispensing of fuel and provided to the fuel exchange system. The fuel exchange system generates a fuel exchange payload based on the fuel event data and provides the fuel exchange data payload to the remote server for execution of an exchange value using the user entity's instrument of exchange.

Abstract: A monolithic implementation of an integrated circuit that includes a power transistor and a biasing circuit for biasing the substrate of the power transistor. For example, the integrated circuit comprises a semiconductor substrate; and an epitaxial stack epitaxially grown on the semiconductor substrate. A power transistor uses a portion of the epitaxial stack including a portion of the channel semiconductor layer and a portion of the barrier semiconductor layer. Furthermore, a biasing circuit includes circuit elements that use a respective portion of the epitaxial stack including a respective portion of the channel semiconductor layer and a portion of the barrier semiconductor layer. The biasing circuit is configured to bias a portion of the semiconductor substrate beneath the power transistor.

Abstract: A magnetic-assisted suction cup mounting assembly and method for semi-permanently attaching to a ferrous material surface comprises a suction cup and at least one magnet spatially arranged with respect to the suction cup and providing additional fixturing of the suction cup to the ferrous material surface. One method for semi-permanently attaching the mounting assembly to the ferrous material surface comprises positioning a plurality of magnets in a raised position above a peripheral edge surface of a suction cup, positioning the suction cup on the ferrous material surface and drawing a vacuum between the suction cup and the ferrous material surface. Then repositioning the plurality of magnets to a lowered position in contact with the ferrous material surface.

Abstract: An HEMT that includes a hybrid gate contact comprising an enhancement gate portion and a depletion gate portion. The depletion gate portion acts as a buffer that reduces the large electric field peak that would have otherwise existed at the enhancement gate portion if there was no depletion gate portion. Instead, the large electric field peak is split into two smaller electric field peaks; the first smaller electric field peak being at the drain contact side of the depletion gate portion, and the second smaller electric field peak being at the drain contact side of the enhancement gate portion. The use of this hybrid gate contact allows for greater ability to regulate and reduce electric field peaks, thus allowing the overall size of the HEMT to be reduced, and/or allowing the HEMT to handle higher voltages and currents, as compared to an HEMT with only an enhancement gate.

Abstract: A transistor structure that includes a biased substrate. The transistor structure comprises a barrier semiconductor layer and a channel semiconductor layer immediately beneath the barrier semiconductor layer to form a heterojunction interface with the barrier semiconductor layer, the heterojunction inducing a two-dimensional electron gas (2DEG) within the channel semiconductor layer. A semiconductor substrate is beneath and rigidly coupled to the channel semiconductor layer and the barrier semiconductor layer. A substrate contact layer is disposed immediately beneath the semiconductor substrate. The substrate contact layer is electrically disconnected from the source contact to allow for a different voltage to be applied to the substrate contact layer as compared to the source contact. A biasing circuit is configured to bias the substrate contact layer.

Abstract: Fuel exchange authorization and can be performed and optimized by receiving a user input indicative of a fuel code. The user input is temporarily stored according to a third-party storage instruction. A fuel authorization data object is provided to the remote computing environment using a fuel exchange processing service and an application programming interface (API). A validation of the fuel code is generated by the remote computing environment based on a comparison of the user input to the fuel code. The validation is received from the remote computing environment via the fuel exchange processing service and the API. In response to receiving the validation of the fuel code, an exchange payload is generated and provided to the remote computing environment via the fuel exchange processing service and the API, the exchange payload being indicative of a fuel exchange amount, the identifier of the fuel entity, and the fuel code.

Abstract: A method of training a 3D structure detector to detect 3D structure in 3D structure representation, the method comprising the following steps: receiving, at a trainable 3D structure detector, a set of training inputs, each training input comprising at least one 3D structure representation; the 3D structure detector determining, for each training input, a set of predicted 3D objects for the at least one 3D structure representation of that training input; and training the 3D structure detector to optimize a cost function, wherein the cost function penalizes deviation from an expected geometric relationship between the set of predicted 3D objects determined for each training in put.

Abstract: Implementations are described herein that relate to manufacturing articles comprised of one or more metallic materials. In one or more examples, the one or more metallic materials can have a preformed shape that is inserted into the die. In one or more additional examples, the one or more metallic materials can include one or more powders or flakes disposed in the die. The material is then contacted within the die by a tool that moves in a rotational direction and in a vertical direction. The manufactured articles can have a shape that corresponds to the shape of the die.

Abstract: Techniques include a calibration assembly for a telepresence system that includes a stereoscopic display and a set of cameras. The calibration assembly may include at least one chart having chart markers, a mirror having mirror markers, and a processor. An example calibration assembly has three charts and the mirror attached to one of the charts. During calibration, the display is configured to display a set of display markers that are imaged in the mirror. Each camera forms a respective image of the set of chart markers, the set of mirror markers, and the set of display markers. The processing circuitry then determines the poses of the cameras with respect to the display based on the images of the set of chart markers, the set of mirror markers, and the set of display markers.

Abstract: Systems and methods for image processing are configured. Embodiments of the present disclosure identify target style attributes and target structure attributes for a composite image; generate a matrix of composite feature tokens based on the target style attributes and the target structure attributes, wherein subsequent feature tokens of the matrix of composite feature tokens are sequentially generated based on previous feature tokens of the matrix of composite feature tokens according to a linear ordering of the matrix of composite feature tokens; and generate the composite image based on the matrix of composite feature tokens, wherein the composite image includes the target style attributes and the target structure attributes.