Abstract: A processor may identify that one or more client-side applications have been initiated. The processor may identify a browser container. The processor may securely run the one or more client-side applications in the browser container. A website server may collect data that is to be transferred to a browser and sent back from the browser, and the browser container may be associated with the browser. The processor may permit a transfer and sending of the data between the website server and the browser. The transfer and sending of the data may include session specific information that is to be cached on a client-side.

Abstract: A processor may receive application data regarding a session on a video communication application. The processor may receive user data regarding one or more participants associated with the session. The processor may analyze application data to identify contextual features of the application data. The processor may identify that a first contextual scenario has occurred.

Abstract: A computer-implemented method for augmentation and printing of a three-dimensional (3D) object is provided. The computer-implemented method includes analyzing a model of the 3D object, information of sensors for deployment on the 3D object and environmental parameters of a location where the 3D object is deployable and determining, from results of the analyzing, a surface contour of the 3D object, power requirements of the sensors and power levels that can be generated at the location by algae-based power generation. The computer-implemented method further includes augmenting the model with microfluidic circuitry models for supporting the algae-based power generation on the surface contour to meet the power requirements to an extent possible given the power levels, printing the 3D object and microfluidic circuitry according to the model and the microfluidic circuitry models and supplying the microfluidic circuitry with algae for the algae-based power generation.

Abstract: A processor may identify that one or more client-side applications have been initiated. The processor may identify a browser container. The processor may securely run the one or more client-side applications in the browser container. A website server may collect data that is to be transferred to a browser and sent back from the browser, and the browser container may be associated with the browser. The processor may permit a transfer and sending of the data between the website server and the browser. The transfer and sending of the data may include session specific information that is to be cached on a client-side.

Abstract: A document management system that stores all reports, bills, receipts, prescriptions, etc. by converting these pieces of data into a digital format. Once this data has been converted into a digital format, there is a method and system that is structured and configured to compartmentalize and classify the data using a digital content analysis module. Once this data is compartmentalized and classified, a user can conveniently access these disparate pieces of data in one place and make decisions that benefit the owner of the data.

Abstract: Determining a name for a given file using file naming convention techniques based upon the context of the given file. The given file can include digital data and media content. In some instances, the context of the digital data and media content can be determined by using Natural Language Processing (NLP) to extract the substantive content of the digital data and Artificial Intelligence (AI) to properly classify the substantive content.

Abstract: The present specification describes a computer-implemented method. According to the method, a request is received to execute a computing task. The request includes parameters for the computing task. A processor identifies, based on the parameters for the computing task and from a pool of registered nodes, a set of assigned nodes amongst which the computing task is to be distributed. A computing assignment of the computing task is transmitted to a secure and isolated container on each of the assigned nodes. A completed computing assignment is received from each of the assigned nodes and the completed computing task is assembled and distributed to a requesting device.

Abstract: A processor may receive application data regarding a session on a video communication application. The processor may receive user data regarding one or more participants associated with the session. The processor may analyze application data to identify contextual features of the application data. The processor may identify that a first contextual scenario has occurred.

Abstract: An example operation may include one or more of receiving a communication between a sending system and one or more receiving systems via collated feeds from a plurality of types of media channels, detecting a task to be performed from content included in the communication based on one or more keywords within the content which are associated with a task type from among a plurality of task types, determining a priority of the detected task based on a timeline attribute and a non-time related attribute of the detected task, and storing an identification of the detected task within a user interface based on the identified priority.