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 semiconductor package having a fillet is provided. The semiconductor package includes a trace disposed within a solder mask that has a top surface. A first die is over the solder mask and mechanically couples with the trace. A first adhesive is between the trace and the first die where sides of the first die and the first adhesive define a die edge. The semiconductor package includes a fillet adjacent the die edge and a second die above the first die. The semiconductor package also includes a second adhesive having a bottom surface where the second adhesive is between the first die and the second die. The solder mask top surface, the first die surface, and the second adhesive bottom surface define a cavity where the fillet is within the cavity at the die edge.

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.

Abstract: The disclosed embodiments provide a system for processing a search query. During operation, the system generates, based on one or more embedding layers in a machine learning model, input embeddings of the search query from a user of an online system. Next, the system applies one or more convolution layers in the machine learning model to the input embeddings to generate convolutional output from combinations of the input embeddings. The system then processes the convolutional output using one or more prediction layers in the machine learning model to produce a set of intent scores representing predicted likelihoods of a set of search intentions in the search query. Finally, the system performs a search of one or more verticals in the online system based on the search query and the set of intent scores.

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: Systems, methods, and computer-readable media are disclosed for maximizing quantifiable user interaction via modification of adjustable parameters. In one embodiment, an example method may include determining a first output to maximize, where the first output is a function of a first adjustable parameter and a second adjustable parameter, determining first data comprising a first actual value of the first output when the first adjustable parameter is set to a first value and the second adjustable parameter is set to a second value, and determining a first predictive model that generates a first predicted value of the first output. Example methods may include determining, using the first predictive model, a third value for the first adjustable parameter and a fourth value for the second adjustable parameter to maximize the first predicted value, and sending the third value and the fourth value.

Abstract: An online system and method includes receiving a search query including at least one search term, the search query being associated with a member of the online system. A data tag is separately applied to each individual search term of the search query. An ambiguity status of the search query is determined based on at least some actions as stored in an electronic data storage, also configured to store content items of the online system, including member profile data. A probability distribution of content item categories is determined based on the data tags and at least some of the actions and, if the search is ambiguous, member profile data. At least one content item associated with a content item category having a highest probability on the probability distribution and a user interface displays the at least one content item.

Abstract: To provide the continuous playback of content, a content server may provide code to a requesting device that causes the requesting device to play streaming content delivered in chunks or other portions without disruption in playback. The requesting device may execute the code by a browser or other application, which may cause the requesting device to determine whether a data buffer is empty or nearly empty and request additional content from a streaming server if the data buffer is empty or nearly empty. The process may be repeated a number of times each second for the duration of the playback of the content in order to enable continuous playback of the content regardless of any throttling of the code execution or content playback attempted to be imposed by a browser or other application.

Abstract: To provide the continuous playback of content, a content server may provide code to a requesting device that causes the requesting device to play streaming content delivered in chunks or other portions without disruption in playback. The requesting device may execute the code by a browser or other application, which may cause the requesting device to determine whether a data buffer is empty or nearly empty and request additional content from a streaming server if the data buffer is empty or nearly empty. The process may be repeated a number of times each second for the duration of the playback of the content in order to enable continuous playback of the content regardless of any throttling of the code execution or content playback attempted to be imposed by a browser or other application.

Abstract: To provide the continuous playback of content, a content server may provide code to a requesting device that causes the requesting device to play streaming content delivered in chunks or other portions without disruption in playback. The requesting device may execute the code by a browser or other application, which may cause the requesting device to determine whether a data buffer is empty or nearly empty and request additional content from a streaming server if the data buffer is empty or nearly empty. The process may be repeated a number of times each second for the duration of the playback of the content in order to enable continuous playback of the content regardless of any throttling of the code execution or content playback attempted to be imposed by a browser or other application.