Abstract: Some disclosed embodiments are directed to obtaining a decoded audio data including a spoken language utterance recognized in audio data and identifying a disfluency in the decoded audio data. Upon determining that correcting the disfluency would improve a readability score of the decoded audio data, the system generates a particular correction to correct the disfluency and applies the particular correction to the decoded audio data. Then, an updated decoded audio data is generated which reflects the particular correction. The updated decoded audio data has improved readability over the decoded audio data.

Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: A system and method for rendering AI-based haptic feedback and recommendations in a VR environment is provided. The system detects an active VR session on a VR device that renders immersive content associated with a VR environment that includes a digital avatar and a virtual object. The system acquires the immersive content based on the detection and determines physical attributes of the virtual object, scene information associated with the VR environment, and an activity of the digital avatar based on a first network-based analysis, a second network-based analysis, a third neural network-based analysis, respectively, of the content. The system further detects an interaction between the digital avatar and the virtual object in a duration of the activity, and generates a feedback signal based on the interaction, the scene information, and the physical attributes. The system further controls a haptic device based on the feedback signal to generate a haptic feedback.

Abstract: An electronic device and method for chronic pulmonary disease prediction from audio input based on short-winded breath determination using artificial intelligence is disclosed. The electronic device receives an audio input associated with a user. The electronic device applies an Artificial Intelligence (AI) model to detect a short-winded breath duration that corresponds to a time duration between an end of a first spoken word and a start of a second spoken word succeeding the first spoken word. The electronic device detects a speaking pattern. The electronic device applies a Recurrent neural network (RNN) model to reconstruct a set of short-winded breath audio samples. The electronic device generates an audio sample dataset and a set of audio features. The electronic device applies a modular neural network model on the generated audio sample dataset and on the generated set of audio features to determine a set of chronic obstructive pulmonary disease (COPD) metrics.

Abstract: Detection of interaction events in recorded audio streams is disclosed, including: detecting an interaction event within a recorded audio stream; analyzing text before and after the interaction event in the recorded audio stream to determine a causer of the interaction event; and determining an action to be performed in response to the interaction event based at least in part on the causer of the interaction event.

Abstract: Devices and techniques are generally described for generating customized invoice data. In some examples, first data describing invoice settings for a first entity may be received during a registration process. In various examples, a plurality of invoice customizations may be determined based on a similarity between the first data and historical invoice settings of other entities. In some examples, the customized invoice data comprising the plurality of invoice customizations may be generated. In at least some examples, the customized invoice data may be stored in non-transitory computer-readable memory.

Abstract: The present disclosure relates to methods of making of one or more bioengineered ferritin proteins having a preselected ratio of H-subunits (ferritin heavy chain (FTH or H)) to L-subunits (ferritin light chain (FTL or L)). The disclosure further relates to cDNAs, vectors, and host cells for forming the bioengineered ferritin proteins of the present disclosure.

Abstract: Automatic evaluation of recorded interactions is disclosed, including: detecting a plurality of signals in an interaction; combining at least a subset of the plurality of signals using a prescribed set of operators into a combined signal; and determining whether an event criterion has been met with respect to the interaction based at least in part on the combined signal.

Abstract: Automatic evaluation of recorded interactions is disclosed, including: detecting a plurality of signals in an interaction; combining at least a subset of the plurality of signals using a prescribed set of operators into a combined signal; and determining whether an event criterion has been met with respect to the interaction based at least in part on the combined signal.

Abstract: A method includes identifying, by a first server, a set of servers in an edge data center, discovering details of a plurality of components of each corresponding server of the set of servers, updating inventory of the set of servers based on at least the details of the plurality of components of each corresponding server of the set of servers, and performing health checks on the set of servers according to a health check frequency. The first server is connected to the set of servers by a switch. Performing the health checks includes detecting a removal of a second server from the set of servers, detecting an addition of the second server to the set of servers, detecting an addition of a new component in the second server, or detecting a replacement of a failed component in the second server in response to detecting a failure of the failed component.

Abstract: The disclosure generally relates to a method and a system for heterogeneous autonomous mobile robots for coverage path planning. The method may include receiving sensor data from one or more sensor devices. The sensor data includes information corresponding to one or more robots in a predefined region. The method may further include generating a map for the one or more robots based on the received sensor data. The map includes a probable occupancy of each of the plurality of cells by the one or more robots in the predefined region. The method further includes determining a set of poses of the one or more robots based on the generated map and an optimal set of poses from the set of poses based on the visibility matrix. The method may further include generating a coverage path plan for each of the one or more robots based on the determined optimal set of poses.

Abstract: Embodiments of the present disclosure disclose a system and method for optimizing coverage path planning of robots. Data is received from sensors associated with robots in a region. The data is captured in a plurality of poses from a plurality of viewpoints in the region. A priority cost is assigned for each viewpoint based on: objects detected in the data and region of interest in the objects captured by the sensors in the viewpoint. Further, a set of optimal viewpoints are determined from the plurality of viewpoints using objective functions. The objective functions is based on the priority cost associated with each viewpoint and a coverage value for each corresponding viewpoint. The coverage value for a viewpoint indicates an area of the region captured by the sensors from the corresponding viewpoint. Thereafter, a coverage path is generated for the robots based at least on the set of optimal viewpoints.

Abstract: A method and system for improving analysis of social media and other usage data to determine user sentiments are disclosed. Social media posts are identified as relevant to determining user sentiments regarding a service provider. Posts are analyzed by machine learning algorithms to determine user general sentiments and specific sentiments. User interaction metrics indicating user interaction with service provider web site or application may also be analyzed. Sentiment and interaction determinations may be used with other data to predict likelihood of user attrition for services of the service provider. Sentiment determinations associated with social media posts may further be used to determine priority levels for the posts, including response urgency levels. Determined priority levels may then be used to implement appropriate actions in a timely manner based upon the post urgency.

Abstract: Systems and methods for an intelligent virtual assistant for meetings are disclosed. In one embodiment, a system for an intelligent virtual assistant for meeting may include a server comprising at least one computer processor executing a virtual assistant computer program; a communication server in communication with the server; and a plurality of communication devices in communication with the server and the communication server, wherein the communication server facilitates an electronic meeting with a plurality of attendees via the plurality of communication devices. The virtual assistant may receive at least an audio feed and a video feed of the electronic meeting in real-time, may transcribe the audio feed using a speech-recognition algorithm, may provide the transcription to at least one of the plurality of attendees, may receive an edited transcription, and may update the speech recognition algorithm based on the edited transcription.

Abstract: Disclosed are various embodiments for self-service integration and feature testing. In one embodiment, a test mode service receives a request to test an integration of a third-party system with a production system. The test mode service enables at least one plugin to test at least one function of the production system. The test mode service executes at least one function using the plugin(s) and data provided by the integration of the third-party system. The test mode service then reports a result of how the production system performs the function(s) associated with the plugin(s) using test data.

Abstract: Disclosed are various embodiments for self-service integration and feature testing. In one embodiment, a test mode service receives a request to test an integration of a third-party system with a production system. The test mode service enables at least one plugin to test at least one function of the production system. The test mode service executes at least one function using the plugin(s) and data provided by the integration of the third-party system. The test mode service then reports a result of how the production system performs the function(s) associated with the plugin(s) using test data.

Abstract: A method and system for improving analysis of social media and other usage data to determine user sentiments are disclosed. Social media posts are identified as relevant to determining user sentiments regarding a service provider. Posts are analyzed by machine learning algorithms to determine user general sentiments and specific sentiments. User interaction metrics indicating user interaction with service provider web site or application may also be analyzed. Sentiment and interaction determinations may be used with other data to predict likelihood of user attrition for services of the service provider. Sentiment determinations associated with social media posts may further be used to determine priority levels for the posts, including response urgency levels. Determined priority levels may then be used to implement appropriate actions in a timely manner based upon the post urgency.

Abstract: A method and system for improving analysis of social media and other usage data to determine user sentiments are disclosed. Social media posts are identified as relevant to determining user sentiments regarding a service provider. Posts are analyzed by machine learning algorithms to determine user general sentiments and specific sentiments. User interaction metrics indicating user interaction with service provider web site or application may also be analyzed. Sentiment and interaction determinations may be used with other data to predict likelihood of user attrition for services of the service provider. Sentiment determinations associated with social media posts may further be used to determine priority levels for the posts, including response urgency levels. Determined priority levels may then be used to implement appropriate actions in a timely manner based upon the post urgency.

Abstract: Aspects of the present disclosure are directed to identifying existence of oral diseases. In an embodiment, a light source operable to provide light in one of multiple of wavelength bands is provided. The light with the corresponding wavelength band of the multiple wavelength bands accentuates a corresponding feature indicative of a respective set of diseases. The light source may be further operated to generate a first light with a desired wavelength band to illuminate a target area in a mouth of a subject, and an image formed by the reflected light from the target area may be examined for the existence of an oral disease corresponding to the desired wavelength band.

Abstract: Methods and systems for monitoring vehicle occupants using infrared and other sensors are disclosed. The systems may use infrared sensor data to identify each vehicle occupant using biometric signatures (such as heartbeat or facial recognition). Vehicle occupant characteristics may be determined that include skeletal characteristics of the occupants. Further monitoring of the occupants using sensor data may occur until an abnormal situation is detected. Abnormal situations may include medical emergencies, driver impairment, security threats, or similar situations requiring correcting action. The system may then determine and implement an appropriate response to the abnormal situation. Such responses may include generating alerts, adjusting vehicle environmental controls, taking control of operation of the vehicle (such as an autonomous or semi-autonomous vehicle), or initiating wireless communication with an outside party, such as an emergency service.