Abstract: Provided is a lightweight model training method, an image processing method, a device and a medium. The lightweight model training method includes: acquiring first and second augmentation probabilities and a target weight adopted in an e-th iteration; performing data augmentation on a data set based on the first and second augmentation probabilities respectively, to obtain first and second data sets; obtaining a first output value of a student model and a second output value of a teacher model based on the first data set; obtaining a third output value and a fourth output value based on the second data set; determining a distillation loss function, a truth-value loss function and a target loss function; training the student model based on the target loss function; and determining a first augmentation probability or target weight to be adopted in an (e+1)-th iteration in a case of e is less than E.

Abstract: The subject technology requests a group identifier (ID) based on an item identification indicator to an extension application programming interface (API). The subject technology requests, using the extension API, a set of augmented reality (AR) content generator IDs, based on the item identification indicator, to a shopping AR content generator service. The subject technology receives the set of AR content generator IDs based on a mapping of the item identification indicator to a collection of AR content generator IDs. The subject technology requests, using the extension API, first metadata associated with the set of AR content generators and the item identification indicator to the shopping AR content generator service. The subject technology requests, using the extension API, a set of products based on the first metadata. The subject technology generates, using the extension API, a group ID based on the set of products. The subject technology receives the group ID.

Abstract: The subject technology requests a set of augmented reality (AR) content generators based on a group ID, generated by an extension application programming interface (API), using a camera API. The subject technology receives the set of AR content generators. The subject technology provides for display representations of the set of AR content generators in an interface. The subject technology receives a selection of a first AR content generator from the set of AR content generators. The subject technology renders the first AR content generator for display, using the camera API. The subject technology requests metadata for a set of products based on the selected first AR content generator using the extension API. The subject technology receives the metadata from the extension API. The subject technology provides for display the set of representations of products based on the received metadata.

Abstract: A qubit device includes first and second linear qubit arrays. Each qubit array includes a semiconductor substrate, control gates configured to define a single row of quantum dots along the substrate, and nanomagnets distributed along the row of quantum dots such that a nanomagnet is arranged at every other pair of quantum dots of the row of quantum dots. Each nanomagnet has an out-of-plane magnetization with respect to the substrate, where the rows of the first and second arrays extend in a common row direction and are separated along a direction transverse to the row direction. The qubit device further includes superconducting resonators connecting pairs of quantum dots between the first and second arrays. Each pair of quantum dots in the first array is configured to couple with a superconducting resonator of the first set to connect with a different pair of quantum dots of the second array.

Abstract: A method for processing a semiconductor device with two closely space gates comprises forming a template structure, wherein the template structure includes at least one sub-structure having a dimension less than the CD. The method further comprises forming a gate layer on and around the template structure. Then, the method comprises removing the part of the gate layer formed on the template structure, and patterning the remaining gate layer into a gate structure including the two gates. Further, the method comprises selectively removing the template structure, wherein the spacing between the two gates is formed by the removed sub-structure.

Abstract: A method and system for drilling a wellbore. A method for drilling a wellbore includes: generating a library of defined patterns, each of the defined patterns corresponding to an operational behavior of drilling equipment used to drill the wellbore; collecting, during operation of the drilling equipment, measurements from sensors coupled to the drilling equipment; characterizing the measurements as correlating to one of the defined patterns; detecting the one of the defined patterns in the measurements; extracting a feature from the measurements; determining a condition of the drilling equipment by comparing a value of the feature to a threshold derived from the one of the defined patterns; and activating an actuator coupled to the drilling equipment to adjust operation of the drilling equipment based on the condition.

Abstract: An integrated system for quantum computation is provided, In one aspect, the system includes at least one semiconductor spin quantum bit (qubit); a feedline configured to act as an electron spin resonance (ESR) antenna for control of the at least one qubit; at least one resonator; and a ground plane common to both the feedline and the at least one resonator. The at least one resonator is capacitively coupled to the feedline, and configured for readout of the at least one qubit via the feedline. The feedline and the at least one resonator are arranged in adjacent layers separated by at least a dielectric. A corresponding method of performing quantum computation using such an integrated system is also provided.

Abstract: According to an aspect of the present inventive concept there is provided a qubit device comprising: a semiconductor substrate layer; a set of control gates configured to define a row of electrostatically confined quantum dots along the substrate layer, each quantum dot being suitable for holding a qubit; and a set of nanomagnets arranged in a row over the substrate layer such that a nanomagnet is arranged above every other quantum dot of the row of quantum dots, wherein each nanomagnet has an out-of-plane magnetization with respect to the substrate layer and wherein every other quantum dot is subjected to an out-of-plane magnetic field generated by a respective nanomagnet, such that a qubit spin resonance frequency of every other quantum dot is shifted with respect to an adjacent quantum dot of the row of quantum dots

Abstract: Disclosed herein are computer-implemented methods; computer-implemented systems; and non-transitory, computer-readable media, for quantifying text similarity. One computer-implemented method includes obtaining a plurality of shortest operation paths including one or more edit pairs for correcting an optical correction recognition (OCR) text string with an edit text string, where each of the one or more edit pairs denotes an operation performable to a character of the OCR text string during correction by the edit text string. A plurality of similarity scores is determined, each corresponding to one of the plurality of shortest operation paths and determined by summing historical similarity scores of the one or more edit pairs of each of the plurality of shortest operation paths. A minimum one of the plurality of similarity scores is selected to quantify text similarity between the OCR text string and the edit text string.

Abstract: A method for processing a semiconductor device with two closely space gates comprises forming a template structure, wherein the template structure includes at least one sub-structure having a dimension less than the CD. The method further comprises forming a gate layer on and around the template structure. Then, the method comprises removing the part of the gate layer formed on the template structure, and patterning the remaining gate layer into a gate structure including the two gates. Further, the method comprises selectively removing the template structure, wherein the spacing between the two gates is formed by the removed sub-structure.

Abstract: Disclosed herein are computer-implemented methods; computer-implemented systems; and non-transitory, computer-readable media, for quantifying text similarity. One computer-implemented method includes obtaining a plurality of shortest operation paths including one or more edit pairs for correcting an optical correction recognition (OCR) text string with an edit text string, where each of the one or more edit pairs denotes an operation performable to a character of the OCR text string during correction by the edit text string. A plurality of similarity scores is determined, each corresponding to one of the plurality of shortest operation paths and determined by summing historical similarity scores of the one or more edit pairs of each of the plurality of shortest operation paths. A minimum one of the plurality of similarity scores is selected to quantify text similarity between the OCR text string and the edit text string.

Abstract: Disclosed herein are computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for automatic Optical Character Recognition (OCR) correction. One computer-implemented method includes evaluating an OCR result using a trained Long short-term memory (LSTM) neural network language model to determine whether correction to the OCR result is required. If correction to the OCR result is required, a most similar text relative to the OCR result is determined from a name and address corpus using a modified edit distance technique. The OCR result is corrected with the determined most similar text.

Abstract: A computer-implemented method includes obtaining user data associated with a first user, the user data including biometric data associated with the first user and personal information of the first user; conducting a biometric similarity search in a historical user database based on the biometric data; determining, based on the biometric similarity search, that multiple historical users have similar biometric data to the first user; retrieving corresponding personal information of each of the multiple historical users; generating a respective personal information similarity score for each of the multiple historical users; and identifying, as the first user, a historical user of the multiple historical users, the personal information similarity score corresponding to the identified historical user indicating a higher similarity than the personal information similarity scores corresponding to other historical users of the multiple historical users.

Abstract: Disclosed herein are computer-implemented methods; computer-implemented systems; and non-transitory, computer-readable media, for quantifying text similarity. One computer-implemented method includes obtaining a plurality of shortest operation paths including one or more edit pairs for correcting an optical correction recognition (OCR) text string with an edit text string, where each of the one or more edit pairs denotes an operation performable to a character of the OCR text string during correction by the edit text string. A plurality of similarity scores is determined, each corresponding to one of the plurality of shortest operation paths and determined by summing historical similarity scores of the one or more edit pairs of each of the plurality of shortest operation paths. A minimum one of the plurality of similarity scores is selected to quantify text similarity between the OCR text string and the edit text string.

Abstract: Disclosed herein are computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for automatic Optical Character Recognition (OCR) correction. One computer-implemented method includes evaluating an OCR result using a trained Long short-term memory (LSTM) neural network language model to determine whether correction to the OCR result is required. If correction to the OCR result is required, a most similar text relative to the OCR result is determined from a name and address corpus using a modified edit distance technique. The OCR result is corrected with the determined most similar text.

Abstract: Disclosed herein are computer-implemented methods; computer-implemented systems; and non-transitory, computer-readable media, for quantifying text similarity. One computer-implemented method includes obtaining a plurality of shortest operation paths including one or more edit pairs for correcting an optical correction recognition (OCR) text string with an edit text string, where each of the one or more edit pairs denotes an operation performable to a character of the OCR text string during correction by the edit text string. A plurality of similarity scores is determined, each corresponding to one of the plurality of shortest operation paths and determined by summing historical similarity scores of the one or more edit pairs of each of the plurality of shortest operation paths. A minimum one of the plurality of similarity scores is selected to quantify text similarity between the OCR text string and the edit text string.

Abstract: A method and system for drilling a wellbore. A method for drilling a wellbore includes: generating a library of defined patterns, each of the defined patterns corresponding to an operational behavior of drilling equipment used to drill the wellbore; collecting, during operation of the drilling equipment, measurements from sensors coupled to the drilling equipment; characterizing the measurements as correlating to one of the defined patterns; detecting the one of the defined patterns in the measurements; extracting a feature from the measurements; determining a condition of the drilling equipment by comparing a value of the feature to a threshold derived from the one of the defined patterns; and activating an actuator coupled to the drilling equipment to adjust operation of the drilling equipment based on the condition.

Abstract: The present disclosure provides structured lipids (SLs) and mixtures of SLs including structured triacylglycerols (TAGs), methods of producing the SLs, products including the SLs and methods of making the products.