Abstract: A method and system for predicting system states is provided. The method includes receiving a first reference model associated with a first operational attribute of a system from a first integrated circuit internally comprising a first processing circuit and a first sensor measuring a first parameter of the system. Additionally, a second reference model associated with a second operational attribute of the system is received from a second integrated circuit internally comprising a second processing circuit and a second sensor measuring a second parameter of the system. A combination reference model based on the first reference model and the second reference model is generated and a predicted future state and associated operational attributes for the system are determined based on the combination reference model.

Abstract: Remote access of a service provider to a secure enterprise computing environment through a firewall through the use of tokens.

Abstract: Hybrid device for viewing media content: a media player; a non-transitory storage medium; and a processer to perform functions: exception detection and handling to monitor a rate of media streaming and to identify when viewing of the media content is or predicted to be interrupted; a peer interaction manager to broadcast a request to peers for media segments of the media content when viewing of the media content is or predicted to be interrupted; a security manager to send a request to a content distribution network to start streaming of the media content, to receive a session key from the content distribution network, and to present the session key to the peers; a peer media manager to receive the media segments from the peers and cache the media segments; and a media segment manager to stitch the media segments from different peers into a single continuous media file.

Abstract: A method and system for improving a digital media content transfer blocking process is provided. The method includes detecting a request for access to digital media content from a digital media provider system. Network traffic across the network is identified and it is verified that the digital media content is comprised by the network traffic. In response, investigation platform software code is executed and a database system associated with the digital media provider system is queried. A system determines if a legitimate connection based relationship exists between a user device and the digital media provider system and the digital media content is monitored. The digital media content is determined to be unauthorized for use by the user and in response the digital media content is disabled from executing functions with respect to the user device of a user.

Abstract: An intelligent video bridge analyzes, indexes and searches live and stored video across multiple existing disparate CCTVs. Through the intelligent video bridge, third parties such as law enforcement can concurrently access and search video feeds from a range of CCTVs, allowing the third party to more easily track persons or vehicles of interest as they move throughout the community and pass within range of different CCTV systems.

Abstract: A health-monitoring method, system, and computer program product include operating at least one sensor of a health-monitoring device having a plurality of sensors, detecting a health condition event that requires operation of an additional sensor of the plurality of sensors to monitor the health condition event, activating the additional sensor of the health-monitoring device, and deactivating the additional sensor when the health condition event that requires the second sensor is no longer detected by the detecting.

Abstract: A recommendation method, system, and computer program product include monitoring a patient using a plurality of sensors, receiving patient information including a comfort level corresponding to a sensor of the plurality of sensors, determining a relevance of each sensor of the plurality of sensors to at least one health conditions of the patient, and determining at least one sensor of the plurality of sensors to disconnect based on the comfort level and the relevance of each sensor.

Abstract: A method for neuromodulation includes monitoring brain activity of a patient using one or more electrodes attached to the patient, and using a first machine learning model to predict whether a patient will have a seizure based on the monitored brain activity of the patient. The method also includes, responsive to the first machine learning model predicting that the patient will have a seizure, using a second machine learning model to determine a neuromodulation signal pattern for preventing the predicted seizure. The method further includes using a neurostimulator to apply the determined neuromodulation signal pattern to the patient. The method also includes, after applying the determined neuromodulation signal pattern to the patient, detecting whether the patient had the predicted seizure based on the monitored brain activity of the patient. The method further includes adjusting at least the second machine learning model based on whether the patient had the predicted seizure.

Abstract: A process for monitoring binding events, a coating compound, and a device for monitoring binding events are disclosed. The process includes providing two reservoirs that contain an electrically conductive fluid, wherein the reservoirs are separated by a membrane having a nanopore. The process also includes selecting a target compound, selecting a ligand based on the selection of the target compound, and preparing a coating that includes the coating compound, wherein the coating compound includes the ligand and a moiety that immobilizes the ligand. Additionally, the process includes applying the coating to the inner surface of the nanopore, adding the target compound to a conductive liquid in the first chamber, establishing a voltage gradient across the membrane, and electrically monitoring translocation of the target molecule. The device includes the reservoirs and the membrane having the coated nanopore.

Abstract: A method for digital image classification and localization includes receiving a digital image of a biological organism from an imaging apparatus, the digital image comprising a plurality of intensities on a 2-dimensional grid of points, generating a plurality of discriminative representations of the 2D digital image by extracting dominant characteristics of the image from three different viewpoints, where the plurality of discriminative representations form a 3-dimensional digital image, combining the 3D digital image with the 2D digital image in a convolutional neural network that outputs a 3-channel feature map that localizes image abnormalities in each of the three channels and includes a detection confidence that each abnormalities is a neoplasm, providing the 3-channel feature map to a controller of a robotic surgical device where the robotic surgical device uses the 3-channel feature map to locate the neoplasm within the biological organism in a surgical procedure for treating the neoplasm.

Abstract: A cognitive coaching method; detecting one or more real-time specific action occurrences during one or more game phases; generating, with a heat map generator, one or more real-time heat maps with one or more specific action label based on the detected one or more real-time specific action occurrences; training a heat map image classifier with an analytics module; transposing one or more historical heat maps comprised in a historical heat map library onto the one or more generated real-time heat maps, in real time, to generate strategic insight on one or more opposing teams; analyzing, using a predictive module, a future potential outcome based on the one or more transposed heat maps; and signaling, to a user, a recommended corrective action deployment strategy based on the analysis of the future potential outcome.

Abstract: One or both of epilepsy seizure detection and prediction at least by performing the following: running multiple input signals from sensors for epilepsy seizure detection through multiple classification models, and applying weights to outputs of each of the classification models to create a final classification output. The weights are adjusted to tune relative output contribution from each classifier model in order that accuracy of the final classification output is improved, while power consumption of all the classification models is reduced. One or both of epilepsy seizure detection and prediction are performed with the adjusted weights. Another method uses streams from sensors for epilepsy seizure detection to train and create the classification models, with fixed weights once trained. Information defining the classification models with fixed weights is communicated to wearable computer platforms for epilepsy seizure detection and prediction.

Abstract: Nanofluidic passages such as nanochannels and nanopores are closed or opened in a controlled manner through the use of a feedback system. An oxide layer is grown or removed within a passage in the presence of an electrolyte until the passage reaches selected dimensions or is closed. The change in dimensions of the nanofluidic passage is measured during fabrication. The ionic current level through the passage can be used to determine passage dimensions. Fluid flow through an array of fluidic elements can be controlled by selective oxidation of fluidic passages between elements.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a style feed including a plurality of original works by an author. An author-style model for the author is built based on the style feed by use of a selected neural network, and a publication is generated in the style of the author based on the author-style model.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining sample essays, sample annotations corresponding to the sample essays, and a subject content for building a subject domain comprehension model and an essay annotation model, by use of one or more neural network. The nodes of the subject domain comprehension model and the essay annotation model are interconnected based on respective relevancies for automatically annotating student works according to a standard of review corresponding to submitting students.

Abstract: Hybrid device for viewing media content: a media player; a non-transitory storage medium; and a processer to perform functions: exception detection and handling to monitor a rate of media streaming and to identify when viewing of the media content is or predicted to be interrupted; a peer interaction manager to broadcast a request to peers for media segments of the media content when viewing of the media content is or predicted to be interrupted; a security manager to send a request to a content distribution network to start streaming of the media content, to receive a session key from the content distribution network, and to present the session key to the peers; a peer media manager to receive the media segments from the peers and cache the media segments; and a media segment manager to stitch the media segments from different peers into a single continuous media file.

Abstract: A method and system for improving a machine learning technical support applicant selection process is provided. The method includes retrieving and analyzing, in real time, job role data, resume based data, and sensor data associated with a plurality of individuals. A specialized memory repository is generated within a specified portion of a hardware memory device and results of the analysis are stored within the specialized memory repository. Self-learning software code for executing a job applicant selection process is generated and a plurality of current resumes and previously generated time-based resumes are retrieved for current job applicants for a specified position. The current resumes are analyzed with respect to the previously generated time-based resumes and associated inconsistencies are determined. A first job applicant is selected and the self-learning software code is modified.

Abstract: In an approach for monitoring media consumption, a processor receives data from a media collection device, wherein the data comprises at least information generated by at least one media broadcasting device of one or more media broadcasts. A processor compares the data to previously stored signatures, wherein the previously stored signatures are each associated with a respective media broadcast. A processor identifies the one or more media broadcasts using the data and the previously stored signatures. A processor compiles the identified one or more media broadcasts with a set of previously stored media broadcasts associated with the media collection device.

Abstract: Hybrid device for viewing media content which includes a media player to present the media content to a viewer; a non-transitory storage medium that stores instructions; and a processer that executes the instructions to perform the following functions: exception detection and handling to monitor a rate of media streaming and to identify when viewing of the media content is interrupted or predicted to be interrupted; a peer interaction manager having a signaling capability to broadcast a request to peers for media segments of the media content when viewing of the media content is interrupted or predicted to be interrupted; a peer media manager to receive the media segments from the peers and cache the media segments; and a media segment manager to stitch the media segments from different peers into a single continuous media file and insert the media file into the media player for playing to the viewer.

Abstract: In an approach, a processor receives classified data, wherein the classified data has been output by a second processor. A processor adjusts a count based on the classified data. A processor determines whether the count is greater than a pre-set threshold, wherein the pre-set threshold is set by a switching module of the processor. Responsive to determining that the count is greater than the pre-set threshold, the processor triggers an alarm of a pre-set alarm length, wherein the pre-set alarm length is set by the switching module of the processor.