Abstract: In an exemplary process for interacting with user interface objects using an eye gaze, an affordance associated with a first object is displayed. A gaze direction or a gaze depth is determined. While the gaze direction or the gaze depth is determined to correspond to a gaze at the affordance, a first input representing user instruction to take action on the affordance is received, and the affordance is selected responsive to receiving the first input.

Abstract: There are provided systems and methods for biometric authentication during voice data transfers. A user may initiate voice communications with a service provider endpoint that provides automated services to the user through the voice or audio communications, such as an interactive voice response (IVR) system where a user may navigate menus through audio commands. The user may by required to authenticate their identity during the phone call or other voice data transfer, which may be done by entering a biometric, such as a fingerprint. The biometric may be converted to biometric feature data and provided to one or more token service providers. The token service providers may provide one or more tokens for the biometric, which may be used as the authentication token. This token may then be transmitted to the IVR system through the user's endpoint using a dialer feature of the endpoint.

Abstract: Various implementations disclosed herein include devices, systems, and methods that use an object as a background for virtual content. Some implementations involve obtaining an image of a physical environment. A location of a surface of an object is detected based on the image. A virtual content location to display virtual content is determined, where the virtual content location corresponds to the location of the surface of the object. Then, a view of the physical environment and virtual content displayed at the virtual content location is provided.

Abstract: Methods and apparatus for spatial audio navigation that may, for example, be implemented by mobile multipurpose devices. A spatial audio navigation system provides navigational information in audio form to direct users to target locations. The system uses directionality of audio played through a binaural audio device to provide navigational cues to the user. A current location, target location, and map information may be input to pathfinding algorithms to determine a real world path between the user's current location and the target location. The system may then use directional audio played through a headset to guide the user on the path from the current location to the target location. The system may implement one or more of several different spatial audio navigation methods to direct a user when following a path using spatial audio-based cues.

Abstract: In an exemplary technique, speech input including one or more instructions is received. After the speech input has stopped, if it is determined that one or more visual characteristics indicate that further speech input is not expected, a response to the one or more instructions is provided. If it is determined that one or more visual characteristics indicate that further speech input is expected, a response to the one or more instructions is not provided.

Abstract: Techniques that facilitate three-dimensional (3D) delineation of tumor boundaries via one or more supervised machine learning algorithms are provided. An example embodiment includes a computer-implemented method that includes: extracting, by a computing system operatively coupled to a processor, one or more feature vectors from a time-series evolution of fluorescence distribution observed at a section of bodily tissue of interest, wherein the one or more feature vectors represent a physical model describing on-tissue dye dynamics of the section of bodily tissue; and generating, by the computing system, a classification attribute for the section of bodily tissue represented by the one or more feature vectors, wherein a pre-trained classifier designates the section of bodily tissue as a biopsy or a non-biopsy candidate through execution of the one or more supervised machine learning algorithms.

Abstract: Embodiments are provided for enabling visual editing of machine learning models in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed. Visualization and exploration of an interactive representation of a plurality of datasets and decision boundaries of one or more machine learning models built upon multidimensional dataset are provided. Behavior of the one or more machine learning models may be edited via the interactive representation using one or more logical rules or moving the decision boundaries of one or more machine learning models.

Abstract: Various embodiments are provided for improving machine learning model integration using one or more processors in a computing system. One or more artifacts of one or more machine learning models may be inspected. A degree of compatibility may be determined between the one or more machine learning models and an application based on inspecting the one or more artifacts. One or more adjustments may be recommended to the one or more artifacts based on the degree of compatibility for integrating the one or more machine learning models into the application.

Abstract: Embodiments of the invention are directed to techniques that include predicting, by a computer system, a number of predicted opportunities and signatures of the predicted opportunities expected in a time window. Based on the signatures of the predicted opportunities, the computer system generates a listing of entities ranked according to signatures of the predicted opportunities. The computer system selects the entities to be assigned to the predicted opportunities based, at least in part, on computing capacity related to sales while accounting for any current opportunities having been assigned to the entities.

Abstract: Various embodiments are provided for providing enhanced data allocation for machine learning operations in a computing environment by one or more processors in a computing system. One or more data sampling strategies may be determined based on a dataset. One or more enhanced training data allocations may be suggested for machine learning operations in a cloud computing environment based on the one or more data sampling strategies.

Abstract: A mid-tier messaging system receives a request to initiate a communication session via a first messaging channel that includes a first messaging interface of a first messaging application provided at a user device and a first message provider of a plurality of message providers. The mid-tier messaging system establishes a first session that is mapped to the communication session. The mid-tier messaging system establishes the communication, using the first session, between the first messaging interface and the first message provider. The mid-tier messaging system provides, through the first session, first message communications between the first message provider and the first messaging interface. The mid-tier messaging system seamlessly switches to a second message provider service when the first message provider service cannot service an intent of the first communication session.

Abstract: Techniques are disclosed relating to a delayed presentation of authentication challenge for users, such as in the context of a chat session. In various embodiments, a server system receives an indication of a request for service initiated by a user in a chat session within an application executed by a client device. The request for service involves an authentication of the user that is dependent on the authentication being successfully completed within a particular time period after the authentication is initiated. The server system delays the initiation of authentication for the request for service until a readiness condition is satisfied. The readiness condition includes the server system being available to process the request for service, as well as subsequently detecting engagement with the user relating to the request for service. In response to the readiness condition being satisfied, the server system initiates the authentication of the user.

Abstract: In an exemplary technique for providing audio information, an input is received, and audio information responsive to the received input is provided using a speaker. While providing the audio information, an external sound is detected. If it is determined that the external sound is a communication of a first type, then the provision of the audio information is stopped. If it is determined that the external sound is a communication of a second type, then the provision of the audio information continues.

Abstract: Machine learning model change management in an online Software as a Medical Device (“SaMD”) is provided. One or more machine learning models implemented in a medical domain may be monitored where the one or more machine learning models are continuously updated. One or more changes to the one or more machine learning models. The one or more machine learning models, having the one or more changes, are certified as being in compliance with performance characteristics and compliance criteria.

Abstract: A computer system analyzes an input in a chat window of a first device, wherein the chat window corresponds to a first chat session with a user of a second device and a second chat session with a user of a third device. The computer system determines, based on the analyzing the input, whether the input corresponds to an information associated with the first chat session and an information associated with the second chat session. Based on determining that the input corresponds to the information associated with the first chat session and the information associated with the second chat session, the computer system transmits the input to the second device and the third device.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for user authentication. In one embodiment, the user authentication occurs using a multi-provider platform. The multi-provider platform enables the use and retrieval of user information from the given provider for the use and assessment of information associated with the user. User information may also be received over a web link communicated at least in part by a risk checkpoint component to a user device, wherein the user information received and that retrieved may be jointly used for determining user authentication.

Abstract: There are provided systems and methods for an artificial intelligence (AI) orchestration layer to facilitate migrations between different AI platforms. A service provider may provide AI portability functions through an orchestration layer that connects different AI services and platforms. The orchestration layer may be used to monitor user interactions with a first AI platform that request AI predictive services and outputs. Using these monitored interactions, the service provider may build and train a simulated AI model that attempts to mirror or replicate the AI model trained for the user on the first AI platform. Thereafter, when the user begins use of a second AI platform that includes the same or similar functionalities to the first AI platform, the service provider may utilize the orchestration layer to assist in training an AI model on the second AI platform based on the previously trained AI model on the first AI platform.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate sensitive data policy recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can employ an artificial intelligence model to extract compliance data from a data source. The computer executable components can further comprise a recommendation component that can recommend a sensitive data policy based on the compliance data. In some embodiments, the recommendation component can further identify one or more sensitive data entities of a sensitive data dataset that are affected by actionable obligation data of the data source.

Abstract: Various embodiments are provided for managing regulatory compliance for an entity in a computing environment by a processor. A law, policy, regulation, or a combination thereof extracted from one or more segments of text data from one or more data sources may be identified requiring an obligation to be performed by the entity.

Abstract: A mid-tier messaging system receives a request to initiate a communication session via a first messaging channel that includes a first messaging interface of a first messaging application provided at a user device and a first message provider of a plurality of message providers. The mid-tier messaging system establishes a first session that is mapped to the communication session. The mid-tier messaging system establishes the communication, using the first session, between the first messaging interface and the first message provider. The mid-tier messaging system provides, through the first session, first message communications between the first message provider and the first messaging interface. The mid-tier messaging system seamlessly switches to a second message provider service when the first message provider service cannot service an intent of the first communication session.