Abstract: A method for playing music includes identifying a plurality of users of a corresponding plurality of electronic devices that are currently located within a selected area, retrieving music listening data for the plurality of users, building a playlist for the selected area based on the music listening data, filtering the playlist according to at least one host preference to produce a filtered playlist, and playing the filtered playlist within the selected area. The selected area may be a geo-fenced area. Examples of host preferences include genre, artist, tempo, mood and demographic. The playlist may include songs that are commonly selected by the plurality of users or conform to genres commonly preferred by the plurality of users. A corresponding system and computer program product for executing the above method are also disclosed herein.

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: Sharing data by defining a data encoding table, maintaining a data record database, defining a data encryption code, providing the data encryption code with an outgoing call, receiving an audio response including encrypted data, decrypting the encrypted data, and updating the data record database according to the data.

Abstract: An embodiment for managing peer-to-peer (P2P) donations in an online transaction is provided. The embodiment may include receiving data relating to a donation agreement from a donor. The embodiment may also include selecting one or more authentication techniques to identify a donee. The embodiment may further include generating a unique redemption authentication token for the donee. The embodiment may also include creating a transient donee account including the generated unique redemption authentication token. The embodiment may further include transferring monetary funds to the created transient donee account with instructions to redeem the transferred monetary funds. The embodiment may also include receiving a request from the donee to redeem the transferred monetary funds utilizing the generated unique redemption authentication token. The embodiment may further include in response to determining the donee is able to be verified, approving the received redemption request.

Abstract: An embodiment for media transit management is provided. The embodiment may include receiving one or more images and one or more pre-set configuration criteria regarding management of an image file. The embodiment may also include monitoring for an attempted sharing of the image file. The embodiment may further include in response to determining each object in the one or more images matches each object in the image file, identifying at least one other user who is attempting to share the image file. The embodiment may also include in response to determining the at least one other user is not authorized to share the image file, analyzing the one or more pre-set configuration criteria correlated with the image file. The embodiment may further include in response to determining the image file does not meet the one or more pre-set configuration criteria, prompting the participating user to respond to a notification.

Abstract: A system for transmitting an identification code in a telecommunications system via a mobile device. The mobile device includes a component to generate embed an identification code by generating an inaudible signal. The inaudible signal is either ultrasonic or infrasonic. The mobile device also generates an audible signal based on information received from a microphone associated with the mobile device, merges the inaudible signal with the audible signal to produce a combined signal, and transmits the combined signal from the mobile device to the other device via the wireless network.

Abstract: An embodiment for media transit management is provided. The embodiment may include receiving one or more images and one or more pre-set configuration criteria regarding management of an image file. The embodiment may also include monitoring for an attempted sharing of the image file. The embodiment may further include in response to determining each object in the one or more images matches each object in the image file, identifying at least one other user who is attempting to share the image file. The embodiment may also include in response to determining the at least one other user is not authorized to share the image file, analyzing the one or more pre-set configuration criteria correlated with the image file. The embodiment may further include in response to determining the image file does not meet the one or more pre-set configuration criteria, prompting the participating user to respond to a notification.

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: 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: 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: 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: 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: Provided are systems, methods, and media for building a prioritized group trip object to generate a social trip plan recommendation. An example method includes receiving a static trip grouping scheme object for a group of users. Generating an interactive customized scheme object (ICSO) for each user based, at least in part, on the received static trip grouping scheme object and on a set of user preferences of the user such that a plurality of ICSOs are generated for the group of users. Merging the plurality of ICSOs to generate a prioritized group trip ICSO. Generating a recommended trip plan for the group based, at least in part, on the prioritized group trip ICSO.

Abstract: A computer-implemented method, according to one embodiment, includes: collecting information which corresponds to internet browsing activity, receiving a request to create a bookmark for a first website, and creating keyword and density pairs (KDPs) for the first website using the information collected prior to receiving the request to create the bookmark. Creating the KDPs includes: extracting a plurality of keywords from the first website, and calculating a density value for each of the plurality of keywords based on the information collected prior to receiving the request to create the bookmark. Furthermore, each keyword and respective density value are added to a hash map as a KDP entry. Other systems, methods, and computer program products are described in additional embodiments.

Abstract: Approaches presented herein enable cognitive oral health management. Specifically, data from at least one internet of things (IoT) sensor and data from at least one visual image sensor are collected over time for a user via one or more sensors operatively coupled with one or more personal daily oral care devices as the user is performing a periodic oral care activity with the one or more personal daily oral care devices. Collected data are subjected to cognitive diagnostics to identify abnormalities in a user's oral healthcare regimen and physiological abnormalities within the oral cavity by categorizing data. A report for a medical professional may be generated providing recommendation of potential diagnoses and treatment options.

Abstract: Sharing data by defining a data encoding table, maintaining a data record database, defining a data encryption code, providing the data encryption code with an outgoing call, receiving an audio response including encrypted data, decrypting the encrypted data, and updating the data record database according to the data.

Abstract: According to one embodiment, a computer-implemented method includes collecting data corresponding to an image of one or more objects captured by a user on an image capture device, wherein the data comprises biometric data, emotion data, image quality data, and context data. In addition, the computer-implement method includes determining an image quality (IQ) value based on the image quality data, determining an emotion (E) value based on at least one of the biometric data and the emotion data, and determining a relationship (R) value between the one or more objects and the user based on the context data. The computer-implement method includes calculating an Overall Emotional Image Quality Score (OEIQS) for the image based on the IQ value, the E value, and the R value, and categorizing the image into at least one of a plurality of predefined categories.

Abstract: Approaches presented herein enable cognitive oral health management. Specifically, data from at least one internet of things (IoT) sensor and data from at least one visual image sensor are collected over time for a user via one or more sensors operatively coupled with one or more personal daily oral care devices as the user is performing a periodic oral care activity with the one or more personal daily oral care devices. Collected data are subjected to cognitive diagnostics to identify abnormalities in a user's oral healthcare regimen and physiological abnormalities within the oral cavity by categorizing data. A report for a medical professional may be generated providing recommendation of potential diagnoses and treatment options.

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: A method, computer program product, and a system where a processor(s), subject to obtaining permission, monitors browsing activity of an application browsing sources, including analyzing the sources to identify keywords and calculate densities of the keywords in content accessed at the sources. The processor(s) retains the keywords and the densities of the keywords in the content accessed at the sources in an historical record. The processor(s) downloads a resource of data and metadata from a source. The processor(s) updates the metadata of the resource based on keywords and densities of the keywords in the resource and source. The processor(s) determines a destination for the downloaded resource, based on selecting the destination comprising a highest percentage of attributes matching the updated metadata.