Abstract: A computer-implemented method for modifying audio-based communications produced during a conference call is disclosed. The computer-implemented method can include monitoring a plurality of utterances transmitted via an audio feed of a device connected to the conference call. The computer-implemented method can identify a first unwanted audio component transmitted via the audio feed. The computer-implemented method can actively modify the audio feed by removing the first unwanted audio component from the audio feed.

Abstract: A method for proximal distance and usage pattern access management includes identifying a first trigger event based on a financial device profile indicating a first proximal distance threshold is exceeded for a first device relative to a second device, where the first device is capable of executing financial transactions. The method further includes querying one or more network devices in the vicinity of the first device to validate the first trigger event. The method further includes responsive to receiving a first validation of the first trigger event from at least one network device from the one or more network devices, applying a first temporal lock on the first device preventing future executions of financial transactions. The method further includes responsive to validating a user associated with the second device, updating the financial device profile based on at least on the first trigger event and a location for the trigger event.

Abstract: An example operation may include one or more of receiving storage requests endorsed by blockchain peers of a blockchain, selecting a group of the endorsed storage requests to be stored together and ordering the group of endorsed storage requests with respect to each other based on timestamps, encoding the group of ordered and endorsed storage requests into an image, and storing the encoded image within a data section of a block of the blockchain.

Abstract: A method, computer system, and a computer program product for personalized voice responses is provided. The present invention may include gathering a plurality of user data from an Internet of Things (IoT) connected sensor. The present invention may include identifying a personalized vocabulary based on the gathered plurality of user data. The present invention may include training a voice response system based on the gathered plurality of user data and the identified personalized vocabulary. The present invention may include receiving a verbal request. The present invention may include responding to the received verbal request using the trained voice response system.

Abstract: Embodiments provide a computer-implemented method for rendering advertisements in a Mixed Reality space, including: profiling a plurality of users in a smart home sharing the MR space; building a social network graph between the plurality of users; building a user embedding matrix based on the social network graph; recommending a plurality of first advertisements for one or more target users; building a joint embedding matrix across the plurality of users and the plurality of first advertisements; identifying a particular position and a particular time period for the one or more target user, while the remaining users are not viewing the particular position during the particular time period; selecting one or more advertisements from the plurality of first advertisements based on the joint embedding matrix; and rendering the one or more advertisements to the one or more target users at the particular position during the particular time period.

Abstract: In an approach for improving operational efficiencies in IoT agricultural ecosystems, a processor receives a request from a user for a production plan to modify one or more values of a set of values of an area of interest. A processor maps the area of interest using a set of data originating from a LIDAR instrument to create a digital elevation model of the area of interest. A processor creates a knowledge set to train a decision engine. A processor calculates one or more modifications to be made to the one or more values of the set of values of the area of interest. A processor generates a map of applicable land options that the user may interact with to select the one or more modifications to be made to the one or more values of the set of values. A processor plots a finalized rendering of the production plan.

Abstract: A second action is identified by the edged device. The second action is associated with a second networked device of the plurality of networked devices in the environment. The second networked device is unrelated to the first networked device. A relationship is detected between the first networked device and the second networked device by the edge device. A network device bubble is generated by the edge device. The network device bubble is based on the relationship that is detected.

Abstract: In an approach for precipitation detection, a processor trains a first machine learning model for detecting precipitation in a region using a first training set of data including a plurality of historical data from a plurality of mobile devices collected in the region and a plurality of quantitative precipitation estimation data. A processor trains a second machine learning model for detecting a location of a mobile device in the region using a second training set of data including both historical indoor and outdoor data from the plurality of mobile devices collected. A processor receives a current data from the mobile device. A processor determines whether the mobile device is located indoor or outdoor based on the current data. A processor compares the current data against a threshold set in the first machine learning model to indicate precipitation. A processor determines whether the current data exceeds the threshold.

Abstract: A method, system, and computer program product for contextual generation of an ephemeral network are provided. The method detects an initiating event for network generation associated with a user of a first computing device. The method determines a duration of the initiating event. A set of network members is determined based on the initiating event and the duration. The method establishes an ephemeral network, connecting at least a portion of computing devices associated with the set of network members. The ephemeral network is terminated in response to detecting a completion event. In response to terminating the ephemeral network, member information for the set of network members is removed from the portion of the computing devices.

Abstract: Embodiments are directed to techniques for secure network connectivity. The techniques including a system having a credential server storing a Personal-Public (PP) Service Set. Identifier (SSID) profile configured according to registration information provided from a personal computing device. The system further including a Wireless Access Point (WAP) communicatively coupled to the credential server and configured to implement a PP SSID connection using the PP SSID profile to create a single-device, single-use, password-protected, unadvertised, and encrypted networking channel between the personal computing device and the Internet.

Abstract: Embodiments for managing user concentration in a work environment are described. Information associated with a user is received. At least one characteristic of a task of the user is identified based on the information associated with the user. A concentration risk level associated with the user performing the task is determined based on the at least one characteristic of the task. A computing environment associated with the user performing the task is provided based on based on the concentration risk level.

Abstract: A computer-implemented system and method for device discovery and recovery in a secure network comprises registering a plurality of devices, where the devices form the secure network at a location. Communication between the plurality of registered devices is enabled, and messages passed between the plurality of devices are collected. The method further comprises determining which one of the plurality of devices is a compromised device by using a consensus network that includes the plurality of devices of the secure network.

Abstract: According to one embodiment, a method, computer system, and computer program product for dynamically modifying interactive digital content based on viewer sentiment is provided. The present invention may include measuring, by one or more sensors, characteristics of viewers associated with a viewed portion of the interactive digital content, while the viewers are viewing the interactive digital content; inferring the sentiment of the viewers with respect to the viewed portion of the interactive digital content based on the measured characteristics; predicting content satisfying to the viewers based on the sentiment; and modifying the interactive digital content in real time based on the predicted content.

Abstract: Embodiments are directed to techniques for secure network connectivity. The techniques including a system having a credential server storing a Personal-Public (PP) Service Set Identifier (SSID) profile configured according to registration information provided from a personal computing device. The system further including a Wireless Access Point (WAP) communicatively coupled to the credential server and configured to implement a PP SSID connection using the PP SSID profile to create a single-device, single-use, password-protected, unadvertised, and encrypted networking channel between the personal computing device and the Internet.

Abstract: A method comprises analyzing a first portion of content displayed on a device of a user to identify a topic of the first portion of the content; selecting a mitigation action based on the identified topic and a profile of the user, wherein the mitigation action is configured to decrease interest of the user in consuming the displayed content; and modifying the displayed content on the device of the user based on the selected mitigation action.

Abstract: In an approach to mature a knowledge corpus using artificial intelligence (AI) and user collaboration, embodiments create, by an AI response system, a knowledge corpus based on retrieved data associated with a first user. Additionally, embodiments execute, by the AI response system, a search to locate one or more matching knowledge corpora based on a request of the first user, and identify, by an anonymous network, at least one cluster of one or more anonymous second users having respective search requests that substantially match the search request of the first user. Furthermore, embodiments execute an AI exchange between the identified one or more anonymous second users and the first user, and mature the knowledge corpus, via the AI response system, based on the AI exchange between the first user and the identified one or more anonymous second users.

Abstract: A method, system, and computer program product for malicious virtual machine detection is provided. The method passes network traffic from a set of virtual machines to a set of network resources. The network traffic passes through a network monitor. The network monitor monitors a set of traffic characteristics for the network traffic. A change in a network traffic characteristic is identified. The change results in a modified traffic characteristic. The method identifies a first virtual machine of the set of virtual machines. The first virtual machine is associated with the modified traffic characteristics. An alert is then generated which identifies the first virtual machine and the modified traffic characteristic.

Abstract: A method and system for delivering a package is provided. The method includes receiving online order data comprising details associated with a product being ordered by a user. The online order data and environmental data associated with delivery of the product is analyzed and a resulting a travel route for delivering the product to a specified location of the user is generated. A delivery vehicle for delivering the product to the specified location of the user is selected and directed to a storage location of the product for loading. The delivery vehicle is directed from the storage location to the specified location of the user via the travel route. Delivery actions associated with the product with respect to the specified location are determined based on data indicating current environmental conditions. The delivery actions are executed.

Abstract: A method, a computer program product, and a computer system predictively compensate for expected audio communication issues. The method includes determining conditions of a first device associated with a user. The method includes determining, based on the conditions, a first signal strength to a first network that the first device is currently connected in which to perform a communication and a second signal strength to a second network that the first device is configured to utilize in performing the communication. As a result of each of the first signal strength and the second signal strength not satisfying a minimum threshold individually, the method includes generating an overall signal having an overall signal strength by layering the first network over the second network. The overall signal strength has a comparatively greater signal strength than the first signal strength and the second signal strength. The method includes performing the communication using the overall signal.

Abstract: An example operation may include one or more of receiving data from a plurality of sources associated with an entity, clustering the data into security-related topics, determining, via one or more machine learning models, maturity values of the entity for the security-related topics, respectively, and generating recommendations to improve the determined maturity values of the entity, wherein the maturity values relate to a level of security of the entity with respect to the security-related topics.