Abstract: A computer-implemented method displays a media file below a distraction threshold. The method includes identifying a driver of a vehicle, where the vehicle includes an augmented reality system, and the vehicle is at least partially automated. The method also includes determining, a driving mode for the vehicle and calculating a focus score. The method includes requesting, from a media repository, a media file, where the media repository contains a plurality of media files, and each media file has an associated distractions score. The method includes receiving from the media repository, a first media file to display, where a first distraction score of the first media file combined with the focus score is below a safety threshold. The method also includes displaying the first media file by the AR system. Further aspects of the present disclosure are directed to computer program products containing functionality consistent with the method described above.

Abstract: Disclosed are techniques for dynamic compression of audio-visual data, including a digital encoding method, digital compression method, and a system. One embodiment of the digital encoding method may comprise identifying a scene projected onto a sensor, wherein the scene comprises a plurality of objects. Some embodiments may further comprise analyzing the plurality of objects to determine which of the plurality objects can be redeveloped by a GAN regeneration module to a threshold quality level and which of the plurality of objects cannot be redeveloped with the GAN regeneration module to the threshold quality level. Some embodiments may further comprise generating an optimized capture plan based on the analyzing. Some embodiments may further comprise encoding the scene pursuant to the optimized capture plan to produce a digital media file.

Abstract: Provided are ophthalmic devices comprised of a reaction product of a composition comprising: (i) a crosslinked substrate network containing covalently bound activatable free radical initiators; and (ii) a grafting composition containing one or more ethylenically unsaturated compounds. Also provided are processes for making ophthalmic devices.

Abstract: Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.

Abstract: A method, computer system, and a computer program product for activity-based mapping and navigation is provided. The present invention may include receiving a number of reports indicating a tethered device charging event in proximity of a particular location in a venue. The present invention may further include, in response to the received number of reports satisfying a threshold number of reports, determining that the particular location includes at least one power source.

Abstract: A method, computer system, and a computer program product for optimizing social collaboration is provided. The present invention may include identifying content within a social collaboration history with a high level of engagement. The present invention may include generating one or more groups of unique topic keywords based on the identified content. The present invention may include receiving a potential post from a user. The present invention may include identifying an overlap between the potential post and at least one of the one or more groups of unique topic keywords. The present invention may include providing one or more recommendations to the user.

Abstract: In an approach to improve risk assessment and management, embodiments monitor a predetermined area by collecting, by one or more sensing devices, data related to environmental conditions and spatial relationships between one or more objects in the predetermined area. Further, embodiments determine, based on a model and the monitoring, that an accidental event is likely to occur within a predetermined distance or within the predetermined area. Additionally, embodiments identify a predetermined mitigation action from a knowledge corpus to apply to the accidental event; and proactively implementing the identified mitigation action to prevent or manage the accidental event.

Abstract: Provided are ophthalmic devices comprised of a reaction product of a composition comprising: (i) a crosslinked substrate network containing covalently bound activatable free radical initiators; and (ii) a grafting composition containing one or more ethylenically unsaturated compounds. Also provided are processes for making ophthalmic devices.

Abstract: In an approach to collaborative discourse, responsive to receiving a collaborative discourse, a document corpora of the collaborative discourse is analyzed. A picture metadata is analyzed for each image in a graphic repository. A machine learning model is derived based on the analysis of the document corpora and the analysis of the picture metadata. Appropriate images are selected from the graphic repository based on the machine learning model, where the appropriate images closely align with the collaborative discourse.

Abstract: Provided are polymer compositions made by a process comprising: (a) providing a first reactive composition containing: (i) a polymerization initiator that is capable, upon a first activation, of forming two or more free radical groups, at least one of which is further activatable by subsequent activation; (ii) one or more ethylenically unsaturated compounds; and (iii) a crosslinker; (b) subjecting the first reactive composition to a first activation step such that the first reactive composition polymerizes therein to form a crosslinked substrate network containing a covalently bound activatable free radical initiator, (c) combining the crosslinked substrate network with a second reactive composition containing one or more ethylenically unsaturated compounds; and (d) activating the covalently bound activatable free radical initiator of the crosslinked substrate network such that the second reactive composition polymerizes therein with the crosslinked substrate network to form a grafted polymeric network and a

Abstract: Conversation slipstream propagation can include using machine learning to construct a conversations graph representing conversations conducted over an electronic communications network by a plurality of participants and collected from one or more messaging platforms. A conversation slipstream comprising one or more communications extracted from the conversations can be generated in response to receiving a secondary communication over the electronic communications network. Each of the one or more communications extracted is represented by a sub-graph of the conversations graph, each sub-graph corresponding to a graph of the secondary communication. The conversation slipstream can be presented to at least one participant to the secondary communication.

Abstract: A sentiment analysis scheduling method, system, and computer program product include analyzing prior sentiments based on past events, building a personalized data model with a categorized event type and a sentiment outcome based on the prior sentiments, analyzing an upcoming event content and predicting a potential sentiment outcome for the upcoming event based on the personalized data model, and rearranging an order of future events to achieve the predicted potential sentiment outcome for the upcoming event.

Abstract: Disclosed are techniques for dynamic compression of audio-visual data, including a method for reducing a size of media content, comprising identifying a scene to be captured by a capture device, wherein the scene comprises a plurality of objects, and determining whether at least one of: (i) an available storage in the capture device to store a digital media file associated with the scene; and (ii) an available network bandwidth to transfer the digital media file is below an associated threshold. In response to the threshold determination, some embodiments may further comprise analyzing the plurality of objects to determine which objects can be redeveloped by a GAN regeneration module to a threshold quality level and which objects cannot be redeveloped with the GAN regeneration module to the threshold quality level, generating an optimized capture plan based on the analyzing, and encoding the scene pursuant to the optimized capture plan.

Abstract: An embodiment includes initiating a search engine to conduct a first search of a data resource for information associated with an acquisition candidate using search criteria provided via a user interface. The embodiment receives a first search result from the search engine comprising an information dataset associated with the acquisition candidate. The embodiment generates a candidate rating for the acquisition candidate indicative of a performance metric for the acquisition candidate relative to another acquisition candidate. The embodiment initiates the search engine to conduct a second search of the data resource using search criteria extracted from the information dataset. The embodiment receives a second search result from the search engine comprising due-diligence data. The embodiment calculates an updated candidate rating for the acquisition candidate based on the cognitive analysis of the due-diligence data and uses the updated rating to provide a recommendation regarding the acquisition candidate.

Abstract: Disclosed are techniques for dynamic compression of audio-visual data, including a method for reducing a size of media content, comprising identifying a scene to be captured by a capture device, wherein the scene comprises a plurality of objects, and determining whether at least one of: (i) an available storage in the capture device to store a digital media file associated with the scene; and (ii) an available network bandwidth to transfer the digital media file is below an associated threshold. In response to the threshold determination, some embodiments may further comprise analyzing the plurality of objects to determine which objects can be redeveloped by a GAN regeneration module to a threshold quality level and which objects cannot be redeveloped with the GAN regeneration module to the threshold quality level, generating an optimized capture plan based on the analyzing, and encoding the scene pursuant to the optimized capture plan.

Abstract: The present invention may include a computing device that receives root data, where the root data comprises a plurality of datasets. The computing device determines a context of each dataset within the plurality of datasets. The computing device identifies one or more users based on monitoring behavior of the one or more users related to each dataset. The computing device appends metadata associated with each dataset within the plurality of datasets with the determined context and the one or more identified users and setts access restrictions to each dataset in the metadata based on the context and the one or more identified users.

Abstract: A computer-implemented method displays a media file below a distraction threshold. The method includes identifying a driver of a vehicle, where the vehicle includes an augmented reality system, and the vehicle is at least partially automated. The method also includes determining, a driving mode for the vehicle and calculating a focus score. The method includes requesting, from a media repository, a media file, where the media repository contains a plurality of media files, and each media file has an associated distractions score. The method includes receiving from the media repository, a first media file to display, where a first distraction score of the first media file combined with the focus score is below a safety threshold. The method also includes displaying the first media file by the AR system. Further aspects of the present disclosure are directed to computer program products containing functionality consistent with the method described above.

Abstract: Interleaved conversation concept flow enhancement can include detecting a topic of an on-going conversation over an electronic communication system. In response to detecting a topic newly introduced into the on-going conversation, a topic-divergence metric (TDM) with respect to the original topic and the newly introduced topic can be determined. A topic-divergence response action can be initiated in response to the newly introduced topic diverging from the original topic by more than a predetermined threshold based on the TDM.

Abstract: Embodiments disclosed herein include a method for managing haptic effects. The method generates a first graphical representation of a first haptic effect generation pattern in a mixed reality environment, wherein the first haptic effect generation pattern comprises factors for generating a first haptic effect at a first haptic device. The method receives a user alteration to the first haptic effect generation pattern from a first user. The method changes the graphical representation based on the user alteration.

Abstract: Methods for intelligent management of asset workflows are disclosed herein. One method includes predicting that a user is going to perform a predetermined action based on one or more user movements included in a signal received from a wearable sensing device and generating, by a processor, a warning of one or more consequences of the user performing the predetermined action. The method further includes displaying, on augmented reality glass, the warning to the user prior to the user actually performing the predetermined action. Also disclosed herein are systems and apparatus that can include, perform, and/or implement the operations of the methods.