Abstract: A system, method and computer readable medium for examining a specimen, the method comprising: obtaining defects of interest (DOIs) and false alarms (FAs) from a review subset selected from a group of potential defects received from an inspection tool, each potential defect is associated with attribute values defining a location of the potential defect in an attribute space; generating a representative subset of the group, comprising potential defects selected in accordance with a distribution of the potential defects within the attribute space, and indicating the potential defects in the representative subset as FA; and training a classifier using data informative of the attribute values of the DOIs, the potential defects of the representative subset, and respective indications thereof as DOIs or FAs, wherein the trained classifier is to be applied to at least some of the potential defects to obtain an estimation of a number of expected DOIs.

Abstract: There is provided a system and method of automatic optimization of an examination recipe. The method includes obtaining one or more inspection images each representative of at least a portion of the semiconductor specimen, the one or more inspection images being indicative of respective defect candidates selected from a defect map using a first classifier included in the examination recipe; obtaining label data respectively associated with the one or more inspection images and informative of types of the respective defect candidates; extracting inspection features characterizing the one or more inspection images; retraining the first classifier using the first features and the label data, giving rise to a second classifier; and optimizing the examination recipe by replacing the first classifier with the second classifier; wherein the optimized examination recipe is usable for examining a subsequent semiconductor specimen.

Abstract: Disclosed is a system, method and computer readable medium for selecting a coreset of potential defects for estimating expected defects of interest. An example method includes obtaining a plurality of defects of interest (DOIs) and false alarms (FAs) from a review subset selected from a group of potential defects received from an inspection tool. The method further includes generating a representative subset of the group of potential defects. The representative subset includes potential defects selected in accordance with a distribution of the group of potential defects within an attribute space. The method further includes, upon training a classifier using data informative of the attribute values of the DOIs, the potential defects of the representative subset, and respective indications thereof as DOIs or FAs, applying the classifier to at least some of the potential defects to obtain an estimation of a number of expected DOIs in the specimen.

Abstract: There is provided a system and method of automatic optimization of an examination recipe. The method includes obtaining one or more inspection images each representative of at least a portion of the semiconductor specimen, the one or more inspection images being indicative of respective defect candidates selected from a defect map using a first classifier included in the examination recipe; obtaining label data respectively associated with the one or more inspection images and informative of types of the respective defect candidates; extracting inspection features characterizing the one or more inspection images; retraining the first classifier using the first features and the label data, giving rise to a second classifier; and optimizing the examination recipe by replacing the first classifier with the second classifier; wherein the optimized examination recipe is usable for examining a subsequent semiconductor specimen.

Abstract: Code and data versioning allow developers to work on code and data without affecting production code and data and without affecting the development activities of other developers. Code and data being worked on by a developer are associated with a task. The system automatically determines the dataset to use for a given development task from among a production dataset, a latest dataset, or a temporary dataset associated with the development task so that development code does not have to be modified to read from a specific dataset.

Abstract: There is provided a system and method of automatic optimization of an examination recipe. The method includes obtaining one or more inspection images each representative of at least a portion of the semiconductor specimen, the one or more inspection images being indicative of respective defect candidates selected from a defect map using a first classifier included in the examination recipe; obtaining label data respectively associated with the one or more inspection images and informative of types of the respective defect candidates; extracting inspection features characterizing the one or more inspection images; retraining the first classifier using the first features and the label data, giving rise to a second classifier; and optimizing the examination recipe by replacing the first classifier with the second classifier; wherein the optimized examination recipe is usable for examining a subsequent semiconductor specimen.

Abstract: There is provided a method, comprising: providing a training dataset including, medical images and corresponding text based reports, and concurrently training a natural language processing (NLP) machine learning (ML) model for generating a NLP category for a target text based report and a visual ML model for generating a visual finding for a target image, by: training the NLP ML model using the text based reports of the training dataset and a ground truth comprising the visual finding generated by the visual ML model in response to an input of the images corresponding to the text based reports of the training dataset, and training the visual ML model using the images of the training dataset and a ground truth comprising the NLP category generated by the NLP ML model in response to an input of the text based reports corresponding to the images of the training dataset.

Abstract: Code and data versioning allows developers to work on code and data without affecting production code and data and without affecting the development activities of other developers. Code and data being worked on by a developer are associated with a task. The system automatically determines the dataset to use for a given development task from among a production dataset, a latest dataset, or a temporary dataset associated with the development task so that development code does not have to be modified to read from a specific dataset.

Abstract: A cognitive computing system for enhancing oilfield operations, in some embodiments, comprises: neurosynaptic processing logic; and one or more information repositories accessible to the neurosynaptic processing logic, wherein the neurosynaptic processing logic produces a recommendation in response to an oilfield operations indication, the neurosynaptic processing logic produces said recommendation based on a probabilistic analysis of said oilfield operations indication, resources in the one or more information repositories, and oilfield operations models in the one or more information repositories, said oilfield operations models pertaining to oilfield operations associated with said indication, wherein the neurosynaptic processing logic presents said recommendation to a user.

Abstract: There is provided a computer implemented method for identification of an indication of visual object(s) in anatomical image(s) of a target individual, comprising: providing anatomical image(s) of a body portion of a target individual, inputting the anatomical image(s) into a classification component of a neural network (NN) and into a segmentation component of the NN, feeding a size feature into the classification component of the NN, wherein the size feature comprises an indication of a respective size of each segmented visual object identified in the anatomical image(s), the size feature computed according to segmentation data outputted by the segmentation component for each pixel element of the anatomical image(s), and computing, by the classification component of the NN, an indication of visual object(s) in the anatomical image(s).

Abstract: A system, method and computer readable medium for examining a specimen, the method comprising: obtaining defects of interest (DOIs) and false alarms (FAs) from a review subset selected from a group of potential defects received from an inspection tool, each potential defect is associated with attribute values defining a location of the potential defect in an attribute space; generating a representative subset of the group, comprising potential defects selected in accordance with a distribution of the potential defects within the attribute space, and indicating the potential defects in the representative subset as FA; and upon training a classifier using data informative of the attribute values of the DOIs, the potential defects of the representative subset, and respective indications thereof as DOIs or FAs, applying the classifier to at least some of the potential defects to obtain an estimation of a number of expected DOIs in the specimen.

Abstract: A cognitive computing system for enhancing drilling operations, in some embodiments, comprises: neurosynaptic processing logic; and one or more information repositories accessible to the neurosynaptic processing logic, wherein the neurosynaptic processing logic performs a probabilistic analysis of one or more real-time drilling operations measurements, one or more resources obtained from said one or more information repositories, and one or more drilling operations simulations that account for said one or more real-time drilling operations measurements, wherein the neurosynaptic processing logic controls a drilling operation based at least in part on said probabilistic analysis.

Abstract: A system to facilitate communication, in some embodiments, comprises a controller, storage in communication with the controller and storing resources available to the controller, and a plurality of wearable devices in wireless communication with the controller and with each other. Each of the plurality of wearable devices receives input and provides the input to at least one of the controller or another one of the plurality of wearable devices. The controller performs an action based at least on the resources and the input.

Abstract: The present disclosure is directed to a system for inspecting a sample with multiple wavelengths of illumination simultaneously via parallel imaging paths. The system may include at least a first detector or set of detectors configured to detect illumination reflected, scattered, or radiated along a first imaging path from a selected portion of the sample in response to the first wavelength of illumination and a second detector or set of detectors configured to concurrently detect illumination reflected, scattered, or radiated along a second imaging path from the selected portion of the sample (i.e. the same location on the sample) in response to the second wavelength of illumination, where the second imaging path may at least partially share illumination and/or detection optics with an autofocus channel.

Abstract: A system and method for rapid development and deployment of reusable analytic code for use in computerized data modeling and analysis is provided. The system includes a centralized, continually updated environment to capture pre-processing steps used in analyzing big data, such that the complex transformations and calculations become continually fresh and accessible to those investigating business opportunities. The system incorporates deep domain expertise as well as ongoing expertise in data science, big data architecture, and data management processes. In particular, the system allows for rapid development and deployment of analytic code that can easily be re-used in various data analytics applications, and on multiple computer systems.

Abstract: A system including a work environment having a topology comprising a plurality of computing devices coupled with at least one of one or more sensors, one or more actuators, and one or more models. One or more processors communicatively coupled with the computing devices and having a memory having stored therein instructions which, when executed, cause the processors to generate, based on the topology, a graph for the work environment; collect respective parameters associated with the computing devices, sensors, actuators, and models; identify an environmental anomaly associated with at least one of the sensors; and generate a decision tree to determine a cause of the environmental anomaly.

Abstract: A method for graphically representing a subterranean space from the perspective of a point within the subterranean space, in some embodiments, comprises: obtaining data associated with the subterranean space, said data corresponding to a plurality of coordinates in a first coordinate system; associating the data for each of said plurality of coordinates with one or more corresponding coordinates in a second coordinate system; generating a different model of the subterranean space based on the data and said associations; and displaying the different model on a display, wherein the different model represents the subterranean space from the perspective of a point within the subterranean space.

Abstract: An interactive reporting tool allows the user to define, modify, and selectively execute a sequence of queries in an interactive manner. A sequence of queries is entered into rows of an interactive query code table. When the user selects a given row i or a cell in a given row i, then the data table is updated to show the results of the queries 1 through i, such that the user effectively can step through the queries in any order (i.e., sequential or non-sequential, forward or backward) to see the results of each step.

Abstract: A sequence of queries is divided into stages, where each stage involves one pass over the data, such that the sequence of queries can be executed using the minimum number of passes over the data. The sequence of queries may be processed into a functional dependency graph that represents the relationships between query parameters (signals) and query operations, and the functional dependency graph then may be processed to divide the queries into a number of successive stages such that each stage includes queries that can be executed based on data that exists prior to execution of that stage. A sequence of queries may, and often does, require that one or more intermediate values or datasets be generated using an aggregate function.

Abstract: A role-based information distribution system, in some embodiments, comprises a display to provide an image containing multiple dynamic icons. It further comprises a wearable device camera to capture the image, and processing logic, coupled to the camera, to interpret the multiple dynamic icons and to provide information pertaining to a selected one or more of the multiple dynamic icons to a user via the wearable device. The processing logic selects the selected one or more of the multiple dynamic icons based on a role associated with the user.