Abstract: Systems and methods receive, in real-time from a user via a user device, input audio data comprising communication element(s) and trained model(s) are applied thereto to categorize the communication element(s), the categorizing comprising assigning a contextual category to a communication element. Text is generated that includes a response to the communication element(s), the response including individualized and contextualized qualities predicted to provide an optimal outcome based on (i) the assigned contextual category and (ii) the user. Text-to-speech processing of the text is implemented to produce an audio output comprising (a) the response and (b) a speech pattern predicted to facilitate the optimal outcome. The audio output is provided to the user via the user device, and based thereon a user's reaction is measured according to a quantifiable quality score that is used to modify future iterations of text-to-speech processing to provide future audio output(s) including a revised speech pattern.

Abstract: Systems and methods receive, from a user device through a communication channel, and process, in real-time, a natural language input comprising unstructured data that is derived from an audio signal. The natural language input is dynamically interpreted, the interpreting including applying the unstructured data to trained AI models that (i) perform ASR to generate textual data and (ii) contextualize the textual data using a NLU model. Based thereon, a risk element from the natural language input is identified, and a risk score is assigned that ranks inherent risk of the natural language input. The risk score is dynamically adjusted based on identifying additional risk element(s) during the natural language input and is based on an aggregation of the risk element and the additional risk element(s). Risk analysis is performed on the natural language input and includes comparing the risk score to a threshold.

Abstract: Systems and methods receive, in real-time from a user via a user device, input audio data comprising communication element(s) and trained model(s) are applied thereto to categorize the communication element(s), the categorizing comprising assigning a contextual category to a communication element. Text is generated that includes a response to the communication element(s), the response including individualized and contextualized qualities predicted to provide an optimal outcome based on (i) the assigned contextual category and (ii) the user. Text-to-speech processing of the text is implemented to produce an audio output comprising (a) the response and (b) a speech pattern predicted to facilitate the optimal outcome. The audio output is provided to the user via the user device, and based thereon a user's reaction is measured according to a quantifiable quality score that is used to modify future iterations of text-to-speech processing to provide future audio output(s) including a revised speech pattern.

Abstract: A wall hanging device for marking the location of wall mounting fasteners is provided. The wall hanging device intrinsically locates connection points along a wall that correspond with connection points along an article to be hung on the wall. The systemic device provides two opposing surfaces, each surface providing corresponding guide markings. Each surface also has adhesive elements so that the device can first be adhered to the article and then transferred to the wall by way of urging the article against the wall, thereby ensuring that one or more preselected connection points along the article, first associated with one surface's guide marking(s), are intrinsically located on the wall by way of the other surface's corresponding guide markings after pulling away the article, leaving the temporarily adhered device to the wall. The device also provides a foldable pocket for capturing debris resulting from the installation of the mounting fasteners.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine an emotional state of a user of a user equipment and a cognitive environment in an area proximate to the user of the user equipment. The computing device may determine the cognitive geofence based at least in part on the emotional state of the user of the user equipment and the cognitive environment in the area proximate to the user of the user equipment. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine an emotional state of a user of a user equipment and a cognitive environment in an area proximate to the user of the user equipment. The computing device may determine the cognitive geofence based at least in part on the emotional state of the user of the user equipment and the cognitive environment in the area proximate to the user of the user equipment. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine a cognitive dimension associated with each of the data points and a location associated with each of the data points. The computing device may determine the cognitive geofence based at least in part on the determined cognitive dimension and the determined location associated with at least some of the plurality of data points. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine a cognitive dimension associated with each of the data points and a location associated with each of the data points. The computing device may determine the cognitive geofence based at least in part on the determined cognitive dimension and the determined location associated with at least some of the plurality of data points. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A wall hanging device for marking the location of wall mounting fasteners is provided. The wall hanging device intrinsically locates connection points along a wall that correspond with connection points along an article to be hung on the wall. The systemic device provides two opposing surfaces, each surface providing corresponding guide markings. Each surface also has adhesive elements so that the device can first be adhered to the article and then transferred to the wall by way of urging the article against the wall, thereby ensuring that one or more preselected connection points along the article, first associated with one surface's guide marking(s), are intrinsically located on the wall by way of the other surface's corresponding guide markings after pulling away the article, leaving the temporarily adhered device to the wall. The device also provides a foldable pocket for capturing debris resulting from the installation of the mounting fasteners.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine an emotional state of a user of a user equipment and a cognitive environment in an area proximate to the user of the user equipment. The computing device may determine the cognitive geofence based at least in part on the emotional state of the user of the user equipment and the cognitive environment in the area proximate to the user of the user equipment. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine a cognitive dimension associated with each of the data points and a location associated with each of the data points. The computing device may determine the cognitive geofence based at least in part on the determined cognitive dimension and the determined location associated with at least some of the plurality of data points. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine a cognitive dimension associated with each of the data points and a location associated with each of the data points. The computing device may determine the cognitive geofence based at least in part on the determined cognitive dimension and the determined location associated with at least some of the plurality of data points. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine an emotional state of a user of a user equipment and a cognitive environment in an area proximate to the user of the user equipment. The computing device may determine the cognitive geofence based at least in part on the emotional state of the user of the user equipment and the cognitive environment in the area proximate to the user of the user equipment. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine an emotional state of a user of a user equipment and a cognitive environment in an area proximate to the user of the user equipment. The computing device may determine the cognitive geofence based at least in part on the emotional state of the user of the user equipment and the cognitive environment in the area proximate to the user of the user equipment. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine a cognitive dimension associated with each of the data points and a location associated with each of the data points. The computing device may determine the cognitive geofence based at least in part on the determined cognitive dimension and the determined location associated with at least some of the plurality of data points. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine a cognitive dimension associated with each of the data points and a location associated with each of the data points. The computing device may determine the cognitive geofence based at least in part on the determined cognitive dimension and the determined location associated with at least some of the plurality of data points. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.

Abstract: A computing device and method is usable to determine a cognitive geofence according to a plurality of data points. The computing device may analyze the plurality of data points to determine an emotional state of a user of a user equipment and a cognitive environment in an area proximate to the user of the user equipment. The computing device may determine the cognitive geofence based at least in part on the emotional state of the user of the user equipment and the cognitive environment in the area proximate to the user of the user equipment. After determining the cognitive geofence, the computing device may transmit the determined cognitive geofence to a terminal device.