Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: A cassette and an embedding method using the same are provided. The cassette includes: a frame including an accommodating member, the accommodating member defining an accommodating chamber and configured to accommodate the tissue in the accommodating chamber, the accommodating chamber having a first opening and a second opening opposite to each other; a first holder detachably connected to the frame, and closing the first opening of the accommodating chamber; and a second holder connected to the frame, and configured to slide relative to the frame to open or close the second opening of the accommodating chamber.

Abstract: The invention provides devices and methods for non-invasive monitoring and measuring of intraocular pressure (IOP) of a subject. Embodiments include a lens that is adapted to fit on the subject's eye, a microstructure disposed in or on the lens, the microstructure having at least one feature that exhibits a change in shape and/or geometry and/or position on the lens in response to a change in curvature of the lens. When the curvature of the lens changes in response to a change in IOP, a corresponding change in shape and/or geometry and/or position of the feature may be used to determine the change in IOP. The change in the feature is detectable in digital images of the lens taken with a mobile electronic device such as a smartphone.

Abstract: Using activity monitored by multiple data sources to identify shadow systems, the method comprising: gathering first information describing access to one or more resources by one or more user devices of a user; gathering, from at least a subset of the one or more user devices, second information describing access to the one or more resources; and identifying one or more shadow systems based on a discrepancy between the first information and the second information.

Abstract: A method for providing document category recommendations may include training a machine learning algorithm; receiving, from a user, a selection of an anchor document; retrieving a user co-viewing sequence; generating, via the trained machine learning algorithm, a sequence embeddings set based on the anchor document and the user co-viewing sequence; comparing the generated embeddings set to respective embeddings for a plurality of candidate sets; determining the candidate set closest to the generated embeddings; and presenting at least one category from the closest candidate set.

Abstract: A cassette and an embedding method using the same are provided. The cassette includes: a frame including an accommodating member configured to accommodate the tissue, the accommodating member having a first opening and a second opening opposite to each other; a first holder connected to the frame, and configured to rotate relative to the frame to open or close the first opening of the accommodating member; and a second holder connected to the frame, and configured to rotate relative to the frame to open or close the second opening of the accommodating member.

Abstract: A cassette and an embedding method using the same are provided. The cassette includes: a frame including an accommodating member, the accommodating member defining an accommodating chamber and configured to accommodate the tissue in the accommodating chamber, the accommodating chamber having a first opening and a second opening opposite to each other; a first holder detachably connected to the frame, and closing the first opening of the accommodating chamber; and a second holder connected to the frame, and configured to slide relative to the frame to open or close the second opening of the accommodating chamber.

Abstract: An antenna structure includes a housing, a first feed source, a second feed source, and a resonance circuit. The housing includes a first and a second radiator spaced to each other and grounded. The first feed source feeds current into the first radiator to activate a first mode, a second mode, and a third mode to generate radiation signals in a first frequency band, a second frequency band, and a third frequency band. The second feed source feeds current into the second radiator to activate a fourth mode to generate radiation signals in a fourth frequency band. The resonance circuit adjusts a radiation frequency band of the second radiator according to an impedance of the resonance circuit. The first radiator adjusts the third mode according to the radiation frequency band of the second radiator. A wireless communication device employing the antenna structure is also provided.

Abstract: A cassette and an embedding method using the same are provided. The cassette includes: a frame including an accommodating member configured to accommodate the tissue, the accommodating member having a first opening and a second opening opposite to each other; a first holder connected to the frame, and configured to rotate relative to the frame to open or close the first opening of the accommodating member; and a second holder connected to the frame, and configured to rotate relative to the frame to open or close the second opening of the accommodating member.

Abstract: A method for providing a ranked set of search results includes receiving, from a device, a query, determining, via a first machine learning model, an initial set of documents responsive to the received query, accessing a second machine learning model, the second machine learning model selected from a set of machine learning models based on a characteristic of the query, ranking, via the second machine learning model, the initial set of documents based on responsiveness to the query to generate the ranked set of search results, and outputting the ranked set of search results on the device.

Abstract: A system of performing boundary scan test on pin through test point and a method thereof are disclosed. When an under-test pin of a target connector is determined to be unable to perform a boundary scan test, a test point connected to and closest to the under-test pin is searched, a test signal is transmitted to a target connector, a result signal from the target connector in response to the test signal is received, an expected result and the result signal are compared to generate a test result, so that a boundary scan function can be applied to test a connector of a computer product, to achieve the technical effect of providing a better test range and a better test coverage to improve test efficiency and reduce test cost, compared to conventional boundary scan test.

Abstract: The invention provides devices and methods for non-invasive monitoring and measuring of intraocular pressure (IOP) of a subject. Embodiments include a lens that is adapted to fit on the subject's eye, a microstructure disposed in or on the lens, the microstructure having at least one feature that exhibits a change in shape and/or geometry and/or position on the lens in response to a change in curvature of the lens. When the curvature of the lens changes in response to a change in IOP, a corresponding change in shape and/or geometry and/or position of the feature may be used to determine the change in IOP. The change in the feature is detectable in digital images of the lens taken with a mobile electronic device such as a smartphone.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: A method for providing document category recommendations may include training a machine learning algorithm; receiving, from a user, a selection of an anchor document; retrieving a user co-viewing sequence; generating, via the trained machine learning algorithm, a sequence embeddings set based on the anchor document and the user co-viewing sequence; comparing the generated embeddings set to respective embeddings for a plurality of candidate sets; determining the candidate set closest to the generated embeddings; and presenting at least one category from the closest candidate set.

Abstract: Elastic privileges in a secure access service edge, including: identifying, based on one or more access policies, an application accessible to a user; determining, for the user, an access pattern of the application; and restricting, without modifying the one or more access policies, access to the application by the user based on the access pattern.

Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: Detecting anomalous behavior using a browser extension, including: gathering first information describing activity associated with a user and generated by a browser extension on a user device; gathering second information describing activity associated with the user and generated by an application executed on the user device; and determining, based on the first information and the second information, whether the user has deviated from normal activity.

Abstract: A system of performing boundary scan test on pin through test point and a method thereof are disclosed. When an under-test pin of a target connector is determined to be unable to perform a boundary scan test, a test point connected to and closest to the under-test pin is searched, a test signal is transmitted to a target connector, a result signal from the target connector in response to the test signal is received, an expected result and the result signal are compared to generate a test result, so that a boundary scan function can be applied to test a connector of a computer product, to achieve the technical effect of providing a better test range and a better test coverage to improve test efficiency and reduce test cost, compared to conventional boundary scan test.

Abstract: Embodiments of the present disclosure provide a datum selection method for minimizing hole position errors in group hole machining of large components, comprising: 1) determining a type of a computer numerical control (CNC) machine tool and establishing a topological structure of the CNC machine tool; 2) establishing a theoretical postural model of a tool center point during a motion; 3) establishing a hole position error model; 4) establishing an average error model of hole positions in group hole machining; and 5) obtaining a machining datum for group holes of corresponding components. For the skeleton and skinned group hole machining of aircraft components, different principles of datum selection are provided respectively, which can effectively improve the positional accuracy of the skeleton or skinned group hole machining, at the same time provides a more scientific and reasonable approach for the datum selection in group hole machining of large components.

Abstract: Generating user-specific polygraphs for network activity, including: gathering information describing network activity associated with a user and generating, based on the information, a user-specific polygraph that includes one or more destinations associated with the network activity.