Abstract: A system and method for technology stack discovery by performing active inspection of a cloud computing environment utilizing disk cloning is described. The method includes: generating an inspectable disk based on an original disk of a reachable resource, wherein the reachable resource is a cloud object deployed in the cloud computing environment, and accessible from a network which is external to the cloud computing environment; detecting a cybersecurity object on the inspectable disk, the cybersecurity object indicating a cybersecurity issue; selecting a network path including a network protocol to access the reachable resource; and actively inspecting the network path to detect the cybersecurity issue.

Abstract: Systems and methods are provided for collecting anonymized drive information. A processing device may be configured to receive outputs from one or more sensors; determine at least one motion representation for the host vehicle based on the outputs; receive at least one image representative of an environment of the host vehicle; analyze the at least one image to determine at least one road characteristic associated with a road section; assemble first road segment information relative to a first portion of the road section, wherein the first portion of the road section is separated from a starting point associated with a route traveled by the host vehicle; assemble second road segment information relative to a second portion of the road section; and cause transmission of the first road segment information and the second road segment information to a server for assembly of an autonomous vehicle road navigation model.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment is disclosed. The method includes: generating an inspectable disk from a clone of an original disk in a cloud computing environment; inspecting the inspectable disk for a cybersecurity object, the cybersecurity object indicating a sensitive data, the disk deployed in a cloud computing environment; extracting a data schema from the cybersecurity object, in response to detecting the cybersecurity object on the disk; generating a classification of the data schema; detecting in the disk a plurality of data files, each data file including the classified data schema; determining that the data schema corresponds to sensitive data based on the generated classification; generating in a security database: a representation of the data schema, and a representation of each data file; and rendering a visual representation of the cloud computing environment including a representation of the data schema.

Abstract: A semiconductor metrology system including a spectrum acquisition tool for collecting, using a first measurement protocol, baseline scatterometric spectra on first semiconductor wafer targets, and for various sources of spectral variability, variability sets of scatterometric spectra on second semiconductor wafer targets, the variability sets embodying the spectral variability, a reference metrology tool for collecting, using a second measurement protocol, parameter values of the first semiconductor wafer targets, and a training unit for training, using the collected spectra and values, a prediction model using machine learning and minimizing an associated loss function incorporating spectral variability terms, the prediction model for predicting values for production semiconductor wafer targets based on their spectra.

Abstract: A gas sensor has a light detector, a gas-tight support structure enclosing the light detector, a window positioned in said support structure, and a light source mounted to the support structure. A sample area is positioned in the support structure to receive a gas to be tested. The light source is aligned with the window, sample area, and the light detector to pass light from the light source through the gas in the sample area to the light detector. The sensor can be provided in a breadth sampling apparatus that has deflects gas to a bypass route so that only a portion of gas reaches the sensor.

Abstract: A gas sensor has a light detector, a gas-tight support structure enclosing the light detector, a window positioned in said support structure, and a light source mounted to the support structure. A sample area is positioned in the support structure to receive a gas to be tested. The light source is aligned with the window, sample area, and the light detector to pass light from the light source through the gas in the sample area to the light detector. The sensor can be provided in a breadth sampling apparatus that has deflects gas to a bypass route so that only a portion of gas reaches the sensor.

Abstract: A system, method, and computer program product are provided for metadata driven interface orchestration and mapping. In operation, a system defines a plurality of job items in a master enterprise catalogue by mapping all possible business requests to one or more pre-defined job items. The system defines job specifications in the master enterprise catalogue by mapping the plurality of job items to one or more pre-defined job specifications. Further, the system defines a job list in the master enterprise catalogue by building a sequence of outgoing requests based on possible use cases and the job specifications. The system defines an order context associated with one or more orders. Additionally, the system automatically generates a job plan including a plurality of activities utilizing the job list from the master enterprise catalogue and the order context. Moreover, the system automatically generates interfaces with a plurality of external systems based on the job plan including the plurality of activities.