Abstract: A computer system provides intelligent context-based control of air flow. An identity of a user and a location of the user within an area that includes one or more vents associated with a climate control system are identified. User preferences are determined based on the identity of the user. Characteristics of air flow in the area are adjusted based on the user preferences the user and the location of the user, wherein the characteristics of the air flow comprise one or more from a group of: a direction, and a flow rate. Embodiments of the present invention further include a method and program product for providing intelligent context-based control of air flow in substantially the same manner described above.

Abstract: By analyzing a content of a first message, a confidentiality level of the first message is determined. An encryption rule for a first computational complexity level corresponding to the confidentiality level of the first message is selected. The first message is encoded according to the encryption rule. The encoded first message and the confidentiality level of the first message are caused to be sent to a recipient.

Abstract: A set of partial words is received. At least one partial word in the set of partial words is completed. The set of partial words with the at least one completed partial word is run through a trained deep neural network, the trained deep neural network inferring a word embedding associated with an unfinished word in the set of partial words. An inferred word is determined based on the inferred word embedding associated with the unfinished word. A sentence may be output, which includes at least the completed partial word and the inferred word.

Abstract: A method, computer program product, and a system where a processor(s), monitors multilingual switches performed on a client on behalf of a given user. Based on the monitoring, the processor(s) identifies switch patterns of the given user to generate a service profile for the user of machine learned multilingual switch patterns for the given user. The processor(s) determines a priority order for languages comprising the voice input streams, for the given user. The processor(s) obtains a new translation request initiated by the client, on behalf of the given user and applies the priority order to identify one or more languages spoken in a voice input stream of the new translation request. The processor(s) transmits indicators of the identified one or more languages to the client, where upon receiving the indicators, the client translates the voice input stream from the identified one or more languages to one or more target languages.

Abstract: Predicting power usage of a chip may include receiving placement data describing a placement, within the chip, of a plurality of logical components of the chip; providing the placement data as an input to a neural network; and determining, by the neural network, based on the placement data, a predicted power usage of the chip.

Abstract: An online store offering a product that is currently unavailable can still fulfill an order for the product by querying a multi-store inventory database to see if the product is available from brick-and-mortar stores near the customer. Proximity of local stores is based on a customer location in the customer's profile. Local store selection can be based on product matching policies such as a threshold price difference for the product compared to the online store price. If the customer approves local store pickup, the service generates a voucher to purchase the product directly from the local stores, and presents it to the customer via the online presence. The customer can then redeem the voucher at any of the indicated local stores and pick up the product. When the system receives confirmation of redemption of the voucher, a credit is issued from the online store to the local store.

Abstract: Embodiments of the present invention describe creating a monitoring package by integrating a personal information management system (PIMS) and a social network profile for a user. Embodiments comprise continuously monitoring e-mail messages, calendar entries, social media posts, and social media comments of the integrated PIMS and social network profile, collecting participant preference information and meeting data from the monitoring package, identifying an upcoming meeting for the user according to the meeting data, and determining a list of participants for the upcoming meeting based on conversation threads associated with the upcoming meeting collected from the monitoring package.

Abstract: An audio file format of an audio portion of a natural language content is determined. Using a trained audio language identification model, a human language included in the audio portion is identified. Using a trained audio to text model trained on the human language, the audio portion is converted to a corresponding set of text data. The set of text data is indexed. Using the indexed set of text data responsive to a search query, a search result is generated, the search query specifying a search including a non-textual portion of the natural language content.

Abstract: A computer receives a hotspot and a corresponding incentive, where the hotspot is a geolocation for collecting the weather data. The computer presents the received hotspot and the corresponding incentive to a user. The computer receives the weather data from the drone, transmits the weather data to a server, and updates a scorecard with the incentive corresponding to the hotspot based on determining that the drone reached the hotspot.

Abstract: A management layer for electronic or virtual meeting tools is configured to automatically manage a virtual meeting environment established between computing devices using time based controls, data collection, and feedback mechanisms.

Abstract: A computer-implemented method includes recognizing, by a computer device, a word as a new learned word for a user; registering, by the computer device, the new leaned word in a user's new learned word list as a registered new learned word; associating, by the computer device, the registered new learned word with related known words in a user's known word library, the known word library including words known to the user; tracking, by the computer device, uses of the related known words by the user; identifying, by the computer device, a used sentence used by the user that contains one of the related known words; and suggesting, by the computer device, to the user a new sentence that replaces the one of the related known words in the used sentence with the new learned word.

Abstract: An embodiment includes receiving a request to delete a specified document from a primary shard of a sharded database. The embodiment also includes inserting a soft-deletion document to a soft-deletion shard, wherein the soft-deletion document identifies the specified document, which remains in the primary shard. The embodiment also includes receiving a query from a client application, wherein the specified document satisfies the query. The embodiment also includes blocking the specified document from being returned in response to the query while the soft-deletion document associated with the specified document remains in the soft-deletion shard.

Abstract: In an approach for placing an online order, a processor receives a request from a user through a user device to place an online order. A processor identifies a user profile for the user. A processor selects a shopping list from a set of shopping lists stored in the user profile based on shopping patterns and shopping history stored in the user profile. A processor customizes the selected shopping list based on the shopping patterns and shopping history stored in the user profile. A processor places the online order subsequent to receiving a confirmation by the user.

Abstract: Approaches presented herein enable treating a medical condition via individual customized cognitive guidance. More specifically, a current interactive and customized diagnosis object (ICDO) comprising a treatment schedule for a patient is generated by combining a set of previous ICDOs from the patient, wherein each ICDO has a structure which defines elements that are used to diagnose a symptom and match the patient with a treatment. A status of the patient is monitored in real time via an internet of things network to detect an actual event of the patient differing from the treatment schedule. In real time, the treatment schedule is modified responsive to the differing event by adjusting the current ICDO by exchanging one element of the treatment plan for a new element according to a learned set of rules to compensate for the differing event. This modified treatment schedule is provided to the patient in real time.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification. One example method of operation may comprise one or more of identifying shipment locations for a product shipment, storing the shipment locations in a local blockchain, transmitting the shipment locations to a remote blockchain, comparing the shipment locations of the remote blockchain with the shipment locations stored in the local blockchain, and verifying the shipment locations of the remote blockchain are consistent with the shipment locations stored in the local blockchain.

Abstract: A combined translation request is obtained that includes content of a first language to be translated to a second language combined with translation context information of a user for which translation is to be performed. The content is translated, using machine translation, from the first language to the second language based on the translation context information to provide a translation. The translation is adjusted based on one or more identified translation factors selected based on user feedback to provide an adjusted translation. The adjusted translation is provided to the user.

Abstract: A management layer for electronic or virtual meeting tools is configured to automatically manage a virtual meeting environment established between computing devices using time based controls, data collection, and feedback mechanisms.

Abstract: A computer-implemented method according to one embodiment includes identifying an event, utilizing a server device, determining a match between the event and an historical event, utilizing the server device, identifying historical data sharing behavior associated with the historical event, utilizing the server device, determining, by the server device, one or more data sharing actions to be performed during the event, utilizing the historical data sharing behavior, and automatically implementing the one or more data sharing actions in response to an initialization of the event, utilizing the server device.

Abstract: In an embodiment, a method for allocating privileges on a computer network includes calculating a permission level based at least in part on a login context associated with a login request for connection to a network from a user via a client device, adjusting the calculated permission level such that a resulting first adjusted permission level does not exceed a previous permission level assigned to the client device, assigning the first adjusted permission level to the client device, collecting activity data representative of network activity by the user while logged in to the network, and classifying, using a classifier model, at least a portion of the activity data to generate a second adjusted permission level for the client device.

Abstract: A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.