Abstract: An approach for automatically generate the Natural Language Interface (NLI) directly from the Graphical User Interface (GUI) code is disclosed. The approach leverages the use of mapping between GUI components to pre-defined NLI components in order to generate the necessary NLI components (e.g., intent example, entities, etc.) from the GUI code representation. The approach can leverage pre-defined patterns in order to generate these intent examples for each kind of NLI components. The created NLI dialog can be used simultaneously with the GUI or as a standalone feature.

Abstract: A method for analyzing a spectral signature of a compound specimen is provided. The method includes illuminating a compound specimen with a light in a predetermined spectrum; obtaining a spectral signature of the compound specimen, the spectral signature including at least one light property of a plurality of wavelengths in the spectrum transmitted through the compound specimen; extracting characterizing features of the spectral signature, the characterizing features being light properties of predetermined wavelengths within the spectrum; and comparing the characterizing features with corresponding features stored in a database, the corresponding features are corresponding properties of an expected spectral signature of a specimen including an examined substance.

Abstract: A terminal server of a virtual assistant system for proactively triggering notifications is disclosed. The terminal server is configured to: receive data indicative of a change of a service related state associated with a user of at least one terminal client; generate accordingly a close-ended type question; instruct a transmission of the close-ended type question to the at least one terminal client; in response to a retransmission request, received from the at least one terminal client in relation to the transmission: not perform the close-ended type question, access a storage of the service related state to generate accordingly a new close-ended type question, instruct a transmission of the new close-ended type question to the at least one terminal client, analyze a closed type answer provided by the at least one terminal client, and instruct transmission of a current response to the answer provided by the user.

Abstract: A device for spectral analysis including a seat for holding therein a compound specimen; a light source for illuminating the compound specimen with a spectrum of light; and a detector configured for detecting light transmitted through or reflected from the biological sample, the detector including a pixel array having a plurality of pixels each of which being configured to detect intensity of one wavelength within the spectrum such that the pixel array obtains a spectral signature of the biological sample including intensities of wavelengths within the spectrum.

Abstract: An approach for automatically generate the Natural Language Interface (NLI) directly from the Graphical User Interface (GUI) code is disclosed. The approach leverages the use of mapping between GUI components to pre-defined NLI components in order to generate the necessary NLI components (e.g., intent example, entities, etc.) from the GUI code representation. The approach can leverage pre-defined patterns in order to generate these intent examples for each kind of NLI components. The created NLI dialog can be used simultaneously with the GUI or as a standalone feature.

Abstract: In an approach for deducing a root cause analysis model, a processor trains a classifier based on labeled data to identify entities. A processor trains the classifier with first taxonomy and ontology. A processor uses the classifier to classify each component from one or more augmented reality peer assistance sessions into a class. A processor generates a root cause analysis model based on the identified entities and the classified components.

Abstract: Generating a self-guided augmented reality (AR) session plan from a remotely-guided AR session held between a remote user and a local user, by: Receiving data recorded during the remotely-guided AR session. Segmenting the data into temporal segments that correspond to steps performed by the local user during the remotely-guided AR session. The steps are detected using at least one of: a Natural-Language Understanding (NLU) algorithm applied to a conversation included in the data, to detect utterances indicative of step-to-step transitions; location analysis of annotations included in the data, to detect location differences indicative of step-to-step transitions; and analysis of camera pose data included in the data, to detect pose transitions indicative of step-to-step transitions. Generating the self-guided AR session plan based on the segmented data and a 3D representation of the scene, the AR session plan including step-by-step AR guidance on how to perform the various steps.

Abstract: Generating a self-guided augmented reality (AR) session plan from a remotely-guided AR session held between a remote user and a local user, by: Receiving data recorded during the remotely-guided AR session. Segmenting the data into temporal segments that correspond to steps performed by the local user during the remotely-guided AR session. The steps are detected using at least one of: a Natural-Language Understanding (NLU) algorithm applied to a conversation included in the data, to detect utterances indicative of step-to-step transitions; location analysis of annotations included in the data, to detect location differences indicative of step-to-step transitions; and analysis of camera pose data included in the data, to detect pose transitions indicative of step-to-step transitions. Generating the self-guided AR session plan based on the segmented data and a 3D representation of the scene, the AR session plan including step-by-step AR guidance on how to perform the various steps.

Abstract: Receiving data recorded during a remotely-assisted augmented reality session held between a remote user and a local user, the data including: drawn graphic annotations that are associated with locations in a 3D model representing a physical scene adjacent the local user, and a transcript of a conversation between the remote and local users. Generating at least one candidate label for each location, each candidate label being textually descriptive of a physical entity that is located, in the physical scene, at a location corresponding to the respective location in the 3D model. The generation of each candidate label includes: for each graphic annotation, automatically analyzing the transcript to detect at least one potential entity name that was mentioned, by the remote and/or local user, temporally adjacent the drawing of the respective graphic annotation. Accepting or rejecting each candidate label, to define it as a true label of the respective physical entity.

Abstract: Receiving data recorded during a remotely-assisted augmented reality session held between a remote user and a local user, the data including: drawn graphic annotations that are associated with locations in a 3D model representing a physical scene adjacent the local user, and a transcript of a conversation between the remote and local users. Generating at least one candidate label for each location, each candidate label being textually descriptive of a physical entity that is located, in the physical scene, at a location corresponding to the respective location in the 3D model. The generation of each candidate label includes: for each graphic annotation, automatically analyzing the transcript to detect at least one potential entity name that was mentioned, by the remote and/or local user, temporally adjacent the drawing of the respective graphic annotation. Accepting or rejecting each candidate label, to define it as a true label of the respective physical entity.

Abstract: A terminal server of a virtual assistant system for proactively triggering notifications is disclosed. The terminal server is configured to: receive data indicative of a change of a service related state associated with a user of at least one terminal client; generate accordingly a close-ended type question; instruct a transmission of the close-ended type question to the at least one terminal client; in response to a retransmission request, received from the at least one terminal client in relation to the transmission: not perform the close-ended type question, access a storage of the service related state to generate accordingly a new close-ended type question, instruct a transmission of the new close-ended type question to the at least one terminal client, analyze a closed type answer provided by the at least one terminal client, and instruct transmission of a current response to the answer provided by the user.

Abstract: A method, apparatus and product for solving CSP comprising vectors of unknown size. The method comprises generating a structural skeleton tree of a problem description, wherein the structural skeleton tree comprises a node representing a vector of unknown size and a node representing a size of the vector; determining a vector size Constraint Satisfaction Problem (CSP) based on the structural skeleton tree, wherein said determining comprises projecting over-approximated constraints on the size of the vector based on operators used on the vector or elements thereof; solving the vector size CSP to determine the size of the vector; modifying the structural skeleton tree to set the size of the vector and to include nodes for each element in the vector, whereby obtaining a CSP; and solving the CSP.

Abstract: A test generator generating a test for a system having a plurality of executing entities that are capable of concurrent execution, the test comprises transactions that comprise one or more access transactions that are configured to access a shared resource and one or more reconfiguration transactions configured that are configured to reconfigure the shared resource, wherein said generating comprises: determining a partial order between pairs of transactions that are both associated with the shared resource and that at least one of which is a reconfiguration transaction; and generating the test so as to enforce the partial order during execution of the test by the system.

Abstract: A test generator generating a test for a system having a plurality of executing entities that are capable of concurrent execution, the test comprises transactions that comprise one or more access transactions that are configured to access a shared resource and one or more reconfiguration transactions configured that are configured to reconfigure the shared resource, wherein said generating comprises: determining a partial order between pairs of transactions that are both associated with the shared resource and that at least one of which is a reconfiguration transaction; and generating the test so as to enforce the partial order during execution of the test by the system.