Abstract: A self-piercing riveting system includes a localized melting system that locally melts a target location on a metal substrate and a driver that drives a rivet into to the metal substrate after the target location is locally melted. A method of forming a joint with a self-piercing riveting system includes locally melting a target location on the at least two metal substrates. The method also includes driving a rivet into the target location, optionally with a driver, after locally melting the target location such that the rivet pierces the at least two metal substrates at the target location.

Abstract: A semiconductor device assembly is provided. The semiconductor device assembly can include a substrate and one or more semiconductor dies. The semiconductor device assembly can further include a thermally conductive material (e.g., carbon nanotubes, graphene) capable of dissipating heat from the semiconductor device assembly. In doing so, a thermally regulated semiconductor device can be assembled.

Abstract: Implementations described herein relate to various semiconductor device assemblies. In some implementations, a semiconductor device assembly may include a substrate, a plurality of electrical contacts disposed on an outer surface of the substrate, a solder resist disposed on the outer surface of the substrate and including an opening defined by a plurality of edges and exposing the plurality of electrical contacts, and an alpha particle shield disposed proximate to at least one edge, of the plurality of edges.

Abstract: Examples of methods are described herein. In some examples, a method includes predicting a first sintering state of an object using a first machine learning model trained based on a first time segment. In some examples, the method includes predicting a second sintering state of the object using a second machine learning model trained based on a second time segment. In some examples, the method includes combining, using a fusion machine learning model, the first sintering state and the second sintering state to produce an overall sintering state.

Abstract: A method of providing optical coherence tomography (OCT) imaging may comprise using an on-chip frequency comb source interfaced with an OCT system by a circulator as an imaging source and reconstructing OCT images from resulting spectral data from target tissue illuminated by the imaging source.

Abstract: A battery module sampling assembly includes a sampling module assembly and a battery management module assembly. The sampling module assembly includes a sampling unit in corresponding electrical connection with a battery module. The sampling unit includes a first collection terminal. The battery management module assembly includes a battery management module unit corresponding to the sampling unit. The battery management module unit has a second collection terminal matching the first collection terminal to electrically connect the battery management module unit to the sampling unit.

Abstract: Examples of methods are described herein. In some examples, a method includes determining a graph representation of a three-dimensional (3D) object based on a voxel representation of the 3D object. In some examples, the graph representation includes nodes corresponding to voxels of the voxel representation and edges associated with the nodes. In some examples, the method includes predicting, using a machine learning model, a sintering state of the 3D object based on the graph representation.

Abstract: A circuit board sampling structure includes: a circuit board, a busbar, and a connector. An edge of the circuit board is extended with a connecting arm, the busbar is provided with at least one plug hole, and a side of the connector is provided with at least one plug part, where the plug part is plugged in the plug hole, and an end of the connecting arm away from the circuit board is clamped between the connector and the busbar.

Abstract: An electrical connector includes: a housing, a first electrical connection portion located in the housing and including a first connection end and a second connection end electrically connected to the first connection end; a second electrical connection portion located in the housing and including a third connection end and a fourth connection end electrically connected to the third connection end; and a separation portion used for blocking water droplets and located in the housing and between the first electrical connection portion and the second electrical connection portion.

Abstract: Embodiments of the described technologies are capable of reading a text sequence that include at least one word; extracting model input data from the text sequence, where the model input data includes, for each word of the text sequence, segment data and non-segment data; using a first machine learning model and at least one second machine learning model, generating, for each word of the text sequence, a multi-level feature set; outputting, by a third machine learning model, in response to input to the third machine learning model of the multi-level feature set, a tagged version of the text sequence; executing a search based at least in part on the tagged version of the text sequence.

Abstract: An interactive method, is applied to a terminal device that establishes a connection with a robot in advance and includes: displaying a control interface of the robot, where the control interface includes a motion map and an identifier of the robot; and in response to an operation of a user on the identifier of the robot, controlling the robot to perform corresponding functions in a real environment corresponding to the motion map.

Abstract: A method of providing optical coherence tomography (OCT) imaging may comprise using an on-chip frequency comb source interfaced with an OCT system by a circulator as an imaging source and reconstructing OCT images from resulting spectral data from target tissue illuminated by the imaging source.

Abstract: Described herein are methods, systems and computer-program products for intra- and inter-gait classification for both symmetric and asymmetric gait patterns using images.

Abstract: Embodiments of the described technologies are capable of reading a text sequence that include at least one word; extracting model input data from the text sequence, where the model input data includes, for each word of the text sequence, segment data and non-segment data; using a first machine learning model and at least one second machine learning model, generating, for each word of the text sequence, a multi-level feature set; outputting, by a third machine learning model, in response to input to the third machine learning model of the multi-level feature set, a tagged version of the text sequence; executing a search based at least in part on the tagged version of the text sequence.

Abstract: A method of providing optical coherence tomography (OCT) imaging may comprise using an on-chip frequency comb source interfaced with an OCT system by a circulator as an imaging source and reconstructing OCT images from resulting spectral data from target tissue illuminated by the imaging source.

Abstract: The present disclosure presents improved treadmill control systems and methods. One such method comprises initiating a recording a video sequence of a walking exercise by a subject on a treadmill device; extracting intra-gait phases of the subject from the recorded video sequence using a video temporal alignment with a neural network; generating a series of treadmill belt control settings for the treadmill device corresponding to each phase of the gait pattern of the subject; and signaling the series of treadmill belt control settings to a motor controller of the treadmill device. Other methods and systems are also provided.

Abstract: The disclosed embodiments provide a system for performing a natural language search. During operation, the system applies a first machine learning model to a natural language query to predict one or more search intentions associated with the natural language query. Next, the system applies a second machine learning model to the natural language query to produce one or more search parameters associated with a first intention in the search intention(s), wherein the search parameter(s) include a field and a value of the field. The system then performs a first search of a first vertical associated with the first intention using the search parameter(s). Finally, the system generates a ranking containing a first set of search results from the first search of the first vertical and outputs at least a portion of the ranking in a response to the natural language query.

Abstract: A method of providing optical coherence tomography (OCT) imaging may comprise using an on-chip frequency comb source interfaced with an OCT system by a circulator as an imaging source and reconstructing OCT images from resulting spectral data from target tissue illuminated by the imaging source.

Abstract: A method of providing optical coherence tomography (OCT) imaging may comprise using an on-chip frequency comb source interfaced with an OCT system by a circulator as an imaging source and reconstructing OCT images from resulting spectral data from target tissue illuminated by the imaging source.

Abstract: Systems, methods, and computer-readable media are disclosed for automated server-based content delivery. In one embodiment, an example method may include determining campaign information for a content delivery campaign, the campaign information comprising a first allocation value for first content, and a second allocation value for second content, determining first observed data comprising a first user response rate for the first content and a second user response rate for the second content, determining an exponentiated gradient algorithm for the content delivery campaign, and determining a reallocation amount to reallocate a portion of the first allocation value to the second allocation value using the exponentiated gradient algorithm based at least in part on the first observed data, wherein the reallocation amount maximizes an output of the exponentiated gradient algorithm.