Abstract: Cognitive enablement can include detecting sensor-generated signals received from one or more network-configured sensors, the sensor-generated signals corresponding to physical movement of an audience member during a presentation by a presenter. The sensor-generated signals can be converted to vectorized data structures for inputting to a classification model generated with machine learning. The physical movement can be classified as a prelude to a likely audience interaction, the classifying performed by the classification model based on the vectorized data structures. In response to the classifying, an audience member attribute associated with the audience member can be determined. An audience interaction can be predicted based on the audience member attribute using a prediction model generated with machine learning. A predictive alert corresponding to the predicted audience interaction can be generated.

Abstract: A method for receiving an app-use contextual data set, applies artificial intelligence style machine logic to the app-use contextual data in order to generate a recommendation that the app should be subject to a recommended revision, in response to the generation of the recommended revision, makes the recommended revision in a dynamic manner, stores the app-use contextual data set in the form of a plurality of blockchain data structures, and operates around contextual reset/roll-back/restore scenarios in a hybrid cloud environment.

Abstract: A computer-implemented method, computer system, and computer program product for a container deployment simulation. The method may include performing a container deployment simulation. The method may include detecting a container deployment simulation error. In response to detecting the container deployment simulation error, the method may include providing one or more recommendations to a user. In response to receiving an acceptance of the recommendation from the user, the method may include implementing the recommendation. In response to receiving a rejection of the recommendation from the user, the method may include receiving a user recommendation. The method may include implementing the user recommendation and performing the container deployment simulation. The one or more recommendations may have a weight value. The weight value of the one or more recommendations may be increased when the user accepts the one or more recommendations or reduced when the user rejects the one or more recommendations.

Abstract: A computer device trains a neural network to determine power recharging directions between sets of computing devices based on historical computing device data and historical user eye data. The computing device receives, from an augmented reality device, computing device data pertaining to a first computing device and a second computing device, and user eye data pertaining to a user associated with the first computing device and the second computing device. The computing device determines a power recharging direction between the first computing device and the second computing device based, at least in part, on providing the received computing device data and the received user eye data as input to the neural network, resulting in an identification of a source computing device and a target computing device. The computing devices triggers a power recharging cycle, wherein the source computing device transfers direct current power to the target computing device.

Abstract: In predictive natural disaster response, a server determines an affected location predicted to be affected by a natural disaster and determines whether the type of natural disaster requires relocation of an animal population at the affected location. When relocation is required, using machine learning models, the server generates a rehabilitation needs prediction for the relocation, determines an optimal location for the relocation from candidate locations, and generates a relocation plan to relocate the animal population from the affected location to the optimal location. When relocation is not required, using the machine learning models, the server generates a demands prediction for products and services at the affected location, generates a supply prediction for the products and the services at the affect location, and generates a supply plan using the demands and supply predictions.

Abstract: Embodiments herein disclose computer-implemented methods, computer program products and computer systems for context based online garage offering. The computer-implemented method may include receiving listing data from the seller users corresponding to items offered for sale, wherein the one or more seller users and one or more buyer users are registered with a web-based exchange platform based on user registration data; determining a seller context for the items based on the user registration data and the listing data; receiving historical item data for the items; determining disposal costs versus carry costs for the items based on the historical item data; determine potential buyers based on the listing data and potential buyer activity of the buyers; determining a buyer context based on the user registration data and the potential buyer activity; generating offer data for the items; and presenting the offer data to the seller users via a computing device user interface.

Abstract: An embodiment of the present invention monitors a process across a plurality of systems associated with a supply chain. A context is determined for an order, where at least one of the features of the context includes information from a networked sensing device. One or more first machine learning models identify a plurality of orders of an order history having features corresponding to the order. A second machine learning model is trained with the identified plurality of orders to predict the monitoring interval for the order. The second machine learning model predicts the monitoring interval for the order based on the context of the order. The monitoring interval for the order is dynamically adjusted based on the predicted monitoring interval, and the order is monitored through an order fulfillment process across the plurality of systems associated with the supply chain in accordance with the adjusted monitoring interval.

Abstract: A method comprises displaying a plurality of items to a user on a first page on a display screen of an electronic device. Each item of the plurality of items displayed on the first page is classified according to whether an item is of interest to the user viewing the display screen. A correlation factor between the user and each item classified as of interest to the user is determined. The method also includes, for at least the first one of the plurality of items determined to have a correlation factor above a predetermined threshold, identifying detailed information about a first one of the plurality of items. The identified detailed information about a first one of the plurality of items is automatically displayed. The identified detailed information is displayed without receiving an input indicating a selection of a first one of the plurality of items from a hand-operated input device.

Abstract: A system for providing a travel recommendation to a user device includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive communications of event data from the user device and generate an event schedule based at least in part on the event data. The at least one processor is also configured to execute the instructions to receive communications of travel context data and generate, using a cascaded machine learning model, a predicted optimal travel itinerary based at least in part on the event schedule and the travel context data. The at least one processor is also configured to execute the instructions to communicate the predicted optimal travel itinerary for reception by the user device.

Abstract: An approach for identifying mitigation solution based on critical situations is disclosed. The approach includes detecting one or more critical situations associated within a structure and detecting one or more location of one or more users in the structure. The approach retrieves a user-knowledge corpus based on one or more smart IoT devices or from existing database. Furthermore, the approach retrieves a critical situation knowledge corpus from various servers and creates risk mitigation action plans to address the one or more critical situations. The approach selects an optimal plan, by leveraging machine learning through combinatorial optimization technique, from the existing risk mitigation action plans and executing the optimal plan.

Abstract: Disclosed are techniques for classifying and displaying electronic data sets relevant to a collaboration context using head mounted displays. Context information corresponding to a collaboration event is leveraged to identify participants for the collaboration event, where natural language processing is applied across the contents of electronic data sets presently available to the participants across their computer devices and network-based storage environments to collect electronic data sets relevant to the collaboration event. The collected data sets are then classified, from the perspective of individual participants, into classes including previously known and previously unknown data sets. The collected data sets are then displayed based on their classes to the participants wearing head mounted displays such that each participant views the same overall set of data sets through their head mounted display, but the data sets displayed within each class may differ between them.

Abstract: A head mounted display device includes a frame with multiple tubes inside the frame. The tubes contain a number of speakers and valves. The valves can be actuated on demand, changing the air column length relative to the speakers. Based on an input sound, speakers can be selected and valves can be actuated to improve sound quality.

Abstract: In an approach, a processor receives a request to purchase an item from a retailer, where the request includes a location. A processor receives a request to purchase an item from a retailer, where the request includes location information associated with a buyer. A processor identifies that the item is unavailable from the retailer. A processor determines a plurality of users predicted to have a surplus quantity of the item beyond each respective user's estimated needs at a time of the request. A processor sends an offer to the plurality of users to transfer the item in accordance with the request. A processor, responsive to receiving an acceptance of the offer, selects at least one accepting user, of the plurality of users, based on geographic proximity to the location information. A processor coordinates fulfillment of the request by the at least one user.

Abstract: In an approach to controlling voice command execution via boundary creation, one or more computer processors determine one or more devices included in an Internet of Things platform. One or more computer processors receive, from a user, an indication of a boundary around two or more devices of the one or more devices. One or more computer processors create a boundary around the two or more devices of the one or more devices. One or more computer processors receive a voice command from the user associated with the two or more devices of the one or more devices. One or more computer processors transmit the voice command to the two or more devices of the one or more devices within the boundary.

Abstract: Aspects of the present invention disclose a method for safeguarding an audio device by enabling the audio device to perform harm prevention and retrieval related task based on detecting a set of conditions within an operating environment of the audio device. The method includes one or more processors determining a freefall event of an audio device is occurring. The method further includes one or more processors determining an operating environment type of a surface the audio device contacts after the freefall event ends, wherein the operating environment type of the surface indicates liquid is present. The method further includes responsive to the indication that water is present one or more processors taking a liquid mitigation action.

Abstract: A method, system, and computer program product for augmented reality-based environmental parameter filtering are provided. The method determines an environmental parameter by a wearable augmented reality (AR) device. A visualization of the environmental parameter is generated on a display of the wearable AR device. The method generates a set of control options on the display of the wearable AR device. The set of control options are configured to modify the environmental parameter. A user interaction with the wearable AR device is detected. The user interaction selects a control option of the set of control options. The method interacts with an external device to modify the environmental parameter based on the selected control option.

Abstract: An indication is received. The indication is for a wireless communication being made by a computing device. Responsive to receiving the indication, an optimized location to make the wireless communication is determined based on a location of the computing device and an optimized locations list. The optimized location is communicated to the computing device making the wireless communication.

Abstract: A method for entity validation of a content originator includes identifying a content post in a public forum viewable by a user, where an entity claims to be an originator of the content post. The method also includes, responsive to gathering metadata for the content post, determining, utilizing natural language processing and a classification algorithm, a topic for the content post based on a plurality of extracted words from the content post. The method also includes identifying a plurality of similar content posts relative to the content post based on the topic and the entity and determining a score for the entity claiming to be the originator of the content post, where the score represents a likelihood that the claimed entity is the originator of the content post. The method also includes, responsive to the score being below a verification threshold value, performing ameliorative actions on the content post.

Abstract: A set of one or more media items is identified by a first computer system configured to host media items for various users. The set of media items has a first relationship. A content analysis is performed on the set of one or more media items. The content analysis is based on a first machine-learning model. A first content pattern contained within the set of media items is determined based on the content analysis. A first set of one or more altered media items is generated in response to the first content pattern.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises generating a context-based query through based on a received input; finding a result of the generated query using link prediction algorithm coupled with link prefetching algorithm; and generating a specific link that illustrates and matches the generated context-based query.