Abstract: Embodiments of the present disclosure include systems and methods for transposing matrices based on a multi-level crossbar. A system may include a memory configured to store a matrix comprising a plurality of elements arranged in a set of rows and a set of columns. A system may include an input buffer configured to retrieve a subset of a plurality of elements from the memory. Each element in the subset of the plurality of elements is retrieved from a different column in the matrix. A system may include a multi-level crossbar configured to perform a transpose operation on the subset of the plurality of elements. A system may include an output buffer configured to receive the transposed subset of the plurality of elements and store, in the memory, each element in the transposed subset of the plurality of elements in a different column in the matrix.

Abstract: Memory devices, systems including memory devices, and methods of operating memory devices are described, in which clock trees can be separately optimized to provide a coarse alignment between a clock signal and a command/address signal (and/or a chip select signal or other control signal), and/or in which individual memory devices can be isolated for fine-tuning of device-specific alignment between a clock signal and a command/address signal (and/or a chip select signal or other control signal). Moreover, individual memory devices can be isolated for fine-tuning of device-specific equalization of a command/address signal (and/or a chip select signal or other control signal).

Abstract: Aspects of the technology described herein relate to improved semiconductor-based image sensor designs. In some embodiments, an integrated circuit may comprise a photodetection region and a drain region electrically coupled to the photodetection region, and the photodetection region may be configured to induce an intrinsic electric field in a direction from the photodetection region to the drain region(s). In some embodiments, a charge storage region and the drain region may be positioned on a same side of the photodetection region. In some embodiments, at least one drain layer may be configured to receive incident photons and/or charge carriers via the photodetection region. In some embodiments, an integrated circuit may comprise a plurality of pixels and a control circuit configured to control a transfer of charge carriers in the plurality of pixels.

Abstract: Methods, systems, and techniques for facilitating proactive recruitment are disclosed, comprising: receiving a user annotation of a candidate profile stored in a database, the user annotation provided by a user; based on at least the received user annotation, determining a sentiment of the user with respect to a candidate associated with the candidate profile; and when the sentiment of the user is determined to be positive, scheduling a notification to be sent to the user in response to a trigger event.

Abstract: A pet medical text recognizer may include one or more machine learning classifiers. The one or more machine learning classifiers may be trained using training data to associate raw text with pet clinical event codes. A performance metric may be provided, and the highest performing classifier according to the performance metric may be selected as the model for the pet medical text recognizer. The pet medical text recognizer may accept input text from a veterinary practice management system and generate a pet clinical event code for the text. A set of codes associated with a single pet may be aggregated into a pet health record.

Abstract: A pet medical text recognizer may include one or more machine learning classifiers. The one or more machine learning classifiers may be trained using training data to associate raw text with pet clinical event codes. A performance metric may be provided, and the highest performing classifier according to the performance metric may be selected as the model for the pet medical text recognizer. The pet medical text recognizer may accept input text from a veterinary practice management system and generate a pet clinical event code for the text. A set of codes associated with a single pet may be aggregated into a pet health record.

Abstract: An electronic apparatus and an object information recognition method by using touch data thereof are provided. Touch sensing is performed in the case where no object touches a touch panel to obtain a specific background frame through the touch panel. A current touch sensing frame is obtained through the touch panel. Touch background data of a plurality of first frame cells in the specific background frame is respectively subtracted from touch raw data of a plurality of second frame cells in the current touch sensing frame to obtain a background removal frame including a plurality of cell values. The background removal frame is transformed into a touch sensing image. The touch sensing image is inputted to a trained neural network model to recognize object information of a touch object.

Abstract: A memory stores a catalog of applications and a catalog of trusted sources. A processor detects that a first user attempted to install an application, determines that a source of the application is in the catalog of trusted sources, scans the application to determine that the application does not contain a virus, and determines that there is a first license that allows the first user to install the application. The processor also stores the application into a repository and adds the application to the catalog of applications. The processor receives a request from a second user to install the application, determines that the application is in the catalog of applications, and determines that there is a second license that allows the second user to install the application. The processor further retrieves the application from the repository and initiates installation of the application on a device of the second user.

Abstract: An electronic apparatus and an object information recognition method by using touch data thereof are provided. A current touch sensing frame is obtained through a touch panel. The current touch sensing frame includes a plurality of frame cells respectively corresponding to a plurality of touch sensing units, and each of the frame cells has touch raw data. The frame cells include a target frame cell. A new cell value corresponding to the target frame cell is generated according to touch raw data of a plurality of adjacent frame cells adjacent to the target frame cell in the current touch sensing frame, so as to generate a transformation frame according to the new cell value. The transformation frame is transformed into a touch sensing image, and the touch sensing image is analyzed to recognize object information of a touch object.

Abstract: An electronic apparatus and an object information recognition method by using touch data thereof are provided. A current touch sensing frame is obtained through a touch panel. The current touch sensing frame includes a plurality of frame cells respectively corresponding to a plurality of touch sensing units, and each of the frame cells has touch raw data. The frame cells include a target frame cell. A new cell value corresponding to the target frame cell is generated according to touch raw data of a plurality of adjacent frame cells adjacent to the target frame cell in the current touch sensing frame, so as to generate a transformation frame according to the new cell value. The transformation frame is transformed into a touch sensing image, and the touch sensing image is analyzed to recognize object information of a touch object.

Abstract: An electronic apparatus and an object information recognition method by using touch data thereof are provided. Touch sensing is performed in the case where no object touches a touch panel to obtain a specific background frame through the touch panel. A current touch sensing frame is obtained through the touch panel. Touch background data of a plurality of first frame cells in the specific background frame is respectively subtracted from touch raw data of a plurality of second frame cells in the current touch sensing frame to obtain a background removal frame including a plurality of cell values. The background removal frame is transformed into a touch sensing image. The touch sensing image is inputted to a trained neural network model to recognize object information of a touch object.

Abstract: A memory stores a catalog of applications and a catalog of trusted sources. A processor detects that a first user attempted to install an application, determines that a source of the application is in the catalog of trusted sources, scans the application to determine that the application does not contain a virus, and determines that there is a first license that allows the first user to install the application. The processor also stores the application into a repository and adds the application to the catalog of applications. The processor receives a request from a second user to install the application, determines that the application is in the catalog of applications, and determines that there is a second license that allows the second user to install the application. The processor further retrieves the application from the repository and initiates installation of the application on a device of the second user.

Abstract: A system, method and computer-readable medium for data breach simulation and impact analysis in a computer network, including generating an exposure matrix corresponding to data stores connected to the computer network, the exposure matrix storing a correspondence between regulations and an exposure of each data store the regulations, generating approximation matrices from the exposure matrix by iteratively applying a data compression algorithm to the exposure matrix, each successive iteration of the data compression algorithm being configured to more closely approximate the exposure matrix than a previous iteration of the data compression algorithm, simulating a plurality of data breach and mitigation scenarios on the plurality of data stores based at least in part on the plurality of approximation matrices to determine an overall impact of each data breach and mitigation scenario, determining an optimal data breach and mitigation scenario in the plurality of data breach and mitigation scenarios.

Abstract: A pet medical text recognizer may include one or more machine learning classifiers. The one or more machine learning classifiers may be trained using training data to associate raw text with pet clinical event codes. A performance metric may be provided, and the highest performing classifier according to the performance metric may be selected as the model for the pet medical text recognizer. The pet medical text recognizer may accept input text from a veterinary practice management system and generate a pet clinical event code for the text. A set of codes associated with a single pet may be aggregated into a pet health record.

Abstract: A memory stores a first automation script and a second automation script. A hardware processor performs a first task and a second task by executing the first automation script and performs a third task and a fourth task by executing the second automation script. The processor isolates first and second portions of the first automation script that correspond to the first and second tasks and isolates third and fourth portions of the second automation script that correspond to the third and fourth tasks. The processor also generates a third automation script that includes one or more of the first portion and the second portion and one or more of the third portion and the fourth portion and executes the third automation script to perform one or more of the first task and the second task and one or more of the third task and fourth task.

Abstract: This invention concerns measuring cognitive load. A word based input is produced by a person while performing a task (100). Predetermined grammatical features of the word based input are identified (104). Then, the identified grammatical features are weighted and combined to provide a measure indicating the person's cognitive load (106). The use of grammatical features represents a divergence from the known methods of providing a measure of a person's cognitive load. It is an advantage of the invention that by concentrating on the grammatical features it is able to provide an objective, non-intrusive measure of the person's cognitive load. Aspects the invention include a method, a computer system and software that are used to perform the method.

Abstract: Methods and apparatus for transferring funds are disclosed. In particular methods and systems for transferring funds comprising: receiving an image of a logo from a mobile device wherein the image of a logo has been captured by an image capture device integrated into the mobile device; receiving data from the mobile device, the data associated with the image of a logo and identifying a sending party's account; comparing the image of a logo with a plurality of images of logos stored in a database; finding a matching image from the plurality of images of logos; determining a receiving party's account associated with the matching image; and, causing funds to be transferred from the sending party's account to the receiving party's account.

Abstract: This invention concerns a method for measuring cognitive load of a person in performing a task. In other aspects the invention can be expressed as a computer and as software that are used to perform the method. The computer (50) has an interface having a plural number of unimodal input (20, 30 to 40) and output devices, and a cognitive load analyzer (50). The analyzer comprises a receiver to receive input data signal streams (25, 35 and 45) from respective devices (20, 30 and 40). A classifier (56 to 59), (66 to 69) and (76 to 79) is also provided to identify predetermined “meta-interaction patterns” from the streams (25, 35 and 45), and to weight the identified predetermined “meta-interaction patterns” to produce respective weighted outputs. A combiner (80) to fuse the outputs to produce a measure indicating the person's cognitive load.