Abstract: An optical scanning system includes a radiating source capable of outputting a source light beam, a de-scan lens that is configured to output a de-scanned light beam, the de-scan lens is located approximately one focal length of the de-scan lens from a sample irradiation location, a focusing lens that is configured to output a focused light beam, a first non-polarizing beam splitter configured to be irradiated by at least a portion of the focused light beam, a second non-polarizing beam splitter configured to be irradiated by at least a portion of the focused light beam that is reflected by the first non-polarizing beam splitter, and a detector that is located at approximately one focal length of the focusing lens from the focusing lens, the detector is configured to be irradiated by at least a portion of the focused light beam that is reflected by the second non-polarizing beam splitter.

Abstract: An optical scanning system includes a radiating source capable of outputting a source light beam, a de-scan lens that is configured to output a de-scanned light beam, the de-scan lens is located approximately one focal length of the de-scan lens from an sample irradiation location, a focusing lens that is configured to output a focused light beam, a first non-polarizing beam splitter configured to be irradiated by at least a portion of the focused light beam, a second non-polarizing beam splitter configured to be irradiated by at least a portion of the focused light beam that is reflected by the first non-polarizing beam splitter, and a detector that is located at approximately one focal length of the focusing lens from the focusing lens, the detector is configured to be irradiated by at least a portion of the focused light beam that is not reflected by the second non-polarizing beam splitter.

Abstract: An optical scanning system including a radiating source capable of outputting a source light beam, a de-scan lens that is configured to output a de-scanned light beam, the de-scanned light beam is created by focusing light reflected from the sample and the de-scan lens is located approximately one focal length of the de-scan lens from an irradiation location where the light beam irradiates the sample, a focusing lens that is configured to output a focused light beam, a collimating lens that is configured to output a collimated light beam, a polarizing beam splitter that is configured to be irradiated by the collimated light beam, and a detector that is configured to be irradiated by at least a portion of the collimated light beam that is not reflected by the polarizing beam splitter.

Abstract: An angle independent optical surface inspector capable of generating a light beam, directing the light beam to a sample, and de-scanning a reflected light beam that is reflected from the sample, thereby generating a first de-scanned light beam. The de-scanning is performed at approximately one focal length of a de-scanning lens from an irradiation location where the light beam irradiates the sample. The optical inspector also capable of focusing the first de-scanned light beam, thereby generating a focused light beam, and measuring the location of the focused light beam. The measuring of the location is performed at approximately one focal length of a focusing lens from the focusing lens. The incident angle of the light beam is within ten degrees of Brewster's angle. The focusing is performed by an achromatic lens.

Abstract: An optical scanning system including a radiating source that outputs a light beam, a time varying beam reflector that reflects the light beam through a scan lens towards a transparent sample at an incident angle of plus or minus ten degrees from Brewster's angle, a focusing lens configured to be irradiated by light scattered from the transparent sample, and a detector that is irradiated by the light scattered from the transparent sample. The detector outputs a signal that indicates an intensity of light measured by the detector. None of the light scattered from the transparent sample is blocked. The light scattered from the transparent sample is scattered from the top surface of the transparent sample, the bottom surface of the transparent sample, or any location in between the top surface of the transparent sample and the bottom surface of the transparent sample.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: An optical scanning system includes a first radiating source capable of outputting a first source light beam, a second radiating source capable of outputting a second source light beam, a first time-varying beam reflector configured to direct the first source light beam and the second source light beam toward the sample, a scan lens configured to focus the first source light beam and the second source light beam reflected by the first time-varying beam reflector onto the sample, and a compound ellipsoidal collector configured to direct light scattered from the sample toward a scattered radiation detector. The optical scanning system causes one of the first or second source light beams to be directed towards a sample at an incident angle. The first light beam has a first wavelength, the second light beam has a second wavelength, and the first wavelength and the second wavelength are not the same.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: Disclosed here is a system to automatically predict and resolve issues within a telecommunication network. Initially, the system builds a service registry to store dependence information within the network, which can include software components and hardware components. Various components of the network create logs of their operations. Machine learning models examine the logs and detect any issues. Upon detecting an issue or abnormal event, the system can automatically resolve the issue by determining the most similar issue occurring previously and determining a solution that resolved the previous most similar issue. In addition, the system can propagate the fix to dependent systems and/or notify the dependent systems of the issue.

Abstract: Provided is a method for classifying information technology (IT) service request messages. The method may include receiving data associated with an IT service request message, determining a plurality of number values associated with a plurality of characters included in the IT service request message, generating a vector that includes index values, generating a first bitmap based on generating the vector, generating a second bitmap based on the first bitmap, where the second bitmap has a first dimension and a second dimension, and where the first dimension and the second dimension are equal, and determining a classification of the IT service request message using a neural network algorithm. A system and computer program product are also disclosed.

Abstract: An optical scanning system includes a first radiating source capable of outputting a first source light beam, a second radiating source capable of outputting a second source light beam, a first time-varying beam reflector configured to direct the first source light beam and the second source light beam toward the sample, a scan lens configured to focus the first source light beam and the second source light beam reflected by the first time-varying beam reflector onto the sample, and a compound ellipsoidal collector configured to direct light scattered from the sample toward a scattered radiation detector. The optical scanning system causes one of the first or second source light beams to be directed towards a sample at an incident angle. The first light beam has a first wavelength, the second light beam has a second wavelength, and the first wavelength and the second wavelength are not the same.

Abstract: An optical scanning system includes a first radiating source capable of outputting a first source light beam, a second radiating source capable of outputting a second source light beam, a first time-varying beam reflector configured to direct the first source light beam and the second source light beam toward the sample, a scan lens configured to focus the first source light beam and the second source light beam reflected by the first time-varying beam reflector onto the sample, and a compound ellipsoidal collector configured to direct light scattered from the sample toward a scattered radiation detector. The optical scanner causes one of the first or second source light beams to be directed towards a sample at an incident angle. The first light beam has a first wavelength, the second light beam has a second wavelength, and the first wavelength and the second wavelength are not the same.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: Provided is a method for classifying information technology (IT) service request messages. The method may include receiving data associated with an IT service request message, determining a plurality of number values associated with a plurality of characters included in the IT service request message, generating a vector that includes index values, generating a first bitmap based on generating the vector, generating a second bitmap based on the first bitmap, where the second bitmap has a first dimension and a second dimension, and where the first dimension and the second dimension are equal, and determining a classification of the IT service request message using a neural network algorithm. A system and computer program product are also disclosed.

Abstract: Embodiments described herein provide an attention-based tree encoding mechanism. Specifically, the attention layer receives as input the pre-parsed constituency tree of a sentence and the lower-layer representations of all nodes. The attention layer then performs upward accumulation to encode the tree structure from leaves to the root in a bottom-up fashion. Afterwards, weighted aggregation is used to compute the final representations of non-terminal nodes.