Abstract: A valuable media sanitizing/cleansing cassette is provided for sanitizing/cleansing surfaces of valuable media dispensed to a consumer during a dispense transaction at a transaction terminal. Dispensed media is urged from one or more media cassettes within the terminal along a transport path. The transport path is altered to pass the media through the sanitizing/cleansing cassette where the top and bottom surfaces of the media are illuminated with Ultraviolet (UV) radiation to eradicate any bacteria or virus that may be adhered to the top or the bottom surfaces of the media. Once the media passes through the sanitizing/cleansing cassette, the now sanitized/cleansed media is urged along a remainder of the transport path and dispensed from a media interface of the terminal to the consumer. In an embodiment, media deposited at the terminal is also sanitized/cleansed by passing through the sanitizing/cleansing cassette before being stored in the appropriate media cassettes.

Abstract: The template generation system receives interaction data stored by the CEC from an interaction database and customer service templates (if any) from a template database. The template generation system processes interaction data and customer service templates to learn the domain language of CSR responses and the template responses within the CEC. The template generation system encodes the learned language and generates sentence vector embeddings for the CSR responses and template responses. Based on the learned language, the encoding, and the sentence vector embeddings, the template generation system processes CSR responses derived from the interaction data and customer service templates to predict the need for new customer service templates. Based on the predicted need for new customer service templates, the template generation system provides customer service template suggestions and may also auto-generate suggested customer service templates.

Abstract: A system for generating wrap-up information is capable of learning how interactions are transformed into contact notes and outcome codes using natural language processing and can generate the contact notes and outcome codes for new incoming interactions by applying prediction models trained on interaction data, contact notes and outcome codes. The system for generating wrap-up information receives interaction data, including interaction audio data, interaction transcripts, associated contact notes and associated outcome codes. The interaction transcripts are generated from the previous interactions between agents and customers. The contact notes and outcome codes are generated by agents during the associated previous interactions. The system processes and uses the interaction data to train prediction models to analyze interaction audio data and interaction transcripts and predict appropriate contact notes and outcome codes for the interaction.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: An artificial intelligence (AI) application uses an external machine learning component from a different computing environment to develop context data for use by the AI application. The context data includes raw data outputs from the external machine learning component. An active machine learning component is executed with the context data and provides a suggested next step to a computer to implement as an automated output. A feedback loop adds the suggested next step from the active machine learning component to the context data and forms an augmented data set for providing context to the AI application. A context component selects a rule from a rules engine that corresponds to the augmented data set. The computer implements an automated output according to the rule that was selected.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: One illustrative example includes wireless device having a first wake-up receiver and a second wake-up receiver. The first wake-up receiver can detect a first wake-up signal within a first group of wireless signals and responsively activate the second wake-up receiver. The second wake-up receiver can then detect a second wake-up signal within a second group of wireless signals and responsively activate a transceiver, where the transceiver is usable to engage in bidirectional communication with a remote device.

Abstract: A system predicts future positions or vergence depth of the user's eyes and generates gaze contingent content, such as for a head-mounted display (HMD), based on the predicted positions or vergence depth. The system includes an eye tracking controller that creates eye tracking information defining positions of a first eye and a second eye of a user over time. The eye tracking information is input to a neural network model that outputs the predicted positions or vergence depth. The predicted positions or vergence depth is then used to render the gaze contingent content, or to change other configurations of the HMD. Latency between the detection of user eye movement and the output of corresponding content is reduced to provide a more immersive real-time user experience.

Abstract: The technology disclosed relates to rapidly logging sales activities in a customer relationship management system. It also relates to simplifying logging of sale activities by offering a streamlined data entry path that as immense usability in a mobile environment. The streamlined data entry path can be completed by triple-action, double-action, or single-action. In particular, the technology disclosed relates to automatically identifying and selecting entities that are most likely to be selected by a user. The identification of entities as most likely to be selected is dependent at least upon access recency of records of the entities, imminence of events linked to the entities, and geographic proximities of the entities to the user. It further relates to automatically identifying and selecting sales activities that are most likely to be performed by the user.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: A compression system includes an encoder and a decoder. The encoder can be deployed by a sender system to encode a tensor for transmission to a receiver system, and the decoder can be deployed by the receiver system to decode and reconstruct the encoded tensor. The encoder receives a tensor for compression. The encoder also receives a quantization mask and probability data associated with the tensor. Each element of the tensor is quantized using an alphabet size allocated to that element by the quantization mask data. The encoder compresses the tensor by entropy coding each element using the probability data and alphabet size associated with the element. The decoder receives the quantization mask data, the probability data, and the compressed tensor data. The quantization mask and probabilities are used to entropy decode and subsequently reconstruct the tensor.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: The technology disclosed relates to rapidly logging sales activities in a customer relationship management system. It also relates to simplifying logging of sale activities by offering a streamlined data entry path that as immense usability in a mobile environment. The streamlined data entry path can be completed by triple-action, double-action, or single-action. In particular, the technology disclosed relates to automatically identifying and selecting entities that are most likely to be selected by a user. The identification of entities as most likely to be selected is dependent at least upon access recency of records of the entities, imminence of events linked to the entities, and geographic proximities of the entities to the user. It further relates to automatically identifying and selecting sales activities that are most likely to be performed by the user.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: The technology disclosed relates to rapidly logging sales activities in a customer relationship management system. It also relates to simplifying logging of sale activities by offering a streamlined data entry path that as immense usability in a mobile environment. The streamlined data entry path can be completed by triple-action, double-action, or single-action. In particular, the technology disclosed relates to automatically identifying and selecting entities that are most likely to be selected by a user. The identification of entities as most likely to be selected is dependent at least upon access recency of records of the entities, imminence of events linked to the entities, and geographic proximities of the entities to the user. It further relates to automatically identifying and selecting sales activities that are most likely to be performed by the user.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: A system is designed to increase diver safety in a high-risk environment containing one or more hazardous materials. The system includes chemically-hardened surface-supplied diving equipment designed to provide full environment isolation for the diver. The system also includes a dive helmet and a surface-return exhaust system, where the surface-return exhaust system includes a demand exhaust regulator that serves as a pressure-actuated valve to enable exhausting to a breathable atmosphere outside of a dive helmet instead of exhausting into the environment containing one or more hazardous materials. The system also includes retrofittable kits enabling the upgrading of contaminant-vulnerable materials of an existing dive helmet. The system also includes fluoroelastomeric materials and components to implement in a closed circuit dive system.

Abstract: This disclosure provides a protective diving system for isolating a diver from a hazardous diving environment. The protective diving system can include a dry suit system including a dry suit and a surface exhaust valve coupled to the dry suit, and a return-surface exhaust assembly configured to exhaust gas from the dry suit system to a breathable atmosphere outside of the diving environment of the diver. The surface exhaust valve is configured to receive gas from the dry suit and exhaust gas to the return-surface exhaust assembly without exhausting to the surrounding diving environment. The protective diving system can further include one or more chemically-resistant components, where the chemically-resistant components include a fluoroelastomer.