Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: building, by one or more DNA processor, a DNA strand corresponding to a conditional expectation. The methods include, for instance: obtaining, by one or more DNA processor, a conditional expectation having a regularization metric.

Abstract: A mechanism is provided in a data processing system for question answering using time weighted evidence. The mechanism receives an input question. The mechanism determines a time focus for the input question and defines a weighting function. The weighting function is a bell curve having a peak at the time focus on a time axis. The mechanism decomposes the input question into one or more queries and applies the one or more queries to a corpus of information to obtain a set of hypothesis evidence. Each item of information within the hypothesis evidence has an associated time value. The mechanism weights the set of hypothesis evidence based on the associated time values according to the weighting function to form time weighted evidence and generates hypotheses for answering the input question based on the time weighted evidence.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: building, by one or more DNA processor, a DNA strand corresponding to a conditional expectation. The methods include, for instance: obtaining, by one or more DNA processor, a conditional expectation having a regularization metric.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: identifying a training data set and defining a window for an initial beta value representing bias tolerated in formulating expectation conditional to each feature vector from the training data set. The conditional expectations are parallelly regularized by use of DNA computer. Amongst numerous combinations of candidate models, a best fit ensemble is produced as the machine learning model for predicting targeted outcomes based on inputs other than the training data set.

Abstract: Aspects of the present invention provide an approach for non-visually mapping an environment. In an embodiment, a set of images that is within the field of view of the user is captured from a video capture device worn by the user. Environmental text that is within the set of images is identified. An aural contextual indicator that corresponds to the environmental text is then generated. This aural contextual indicator indicates the informational nature of the environmental text. An aural map of the environment is created using a sequence of the generated aural contextual indicators. This aural map is delivered to the user via an aural output device worn by the user in response to a user request.

Abstract: A method and system for improving real-time audio, video, and sensor detection and analysis is provided. The method includes retrieving audio/video data, biometric data, and environmental data associated with associated with a user at a location. The audio/video data, biometric data, and environmental data are analyzed and based on the analysis, a current biometric state of the user is determined. The current biometric state of the user is compared to a baseline biometric state of the user and it is determined that the current biometric state comprises an elevated biometric state with respect to the baseline biometric state of the user. Self-learning software code for executing a machine based interaction modification event associated with reducing the elevated biometric state of the user is generated and the machine based interaction modification event is executed.

Abstract: A method, system, and computer program product are provided for selectively overlaying information by analyzing a received display image to identify products in the display image and by applying an artificial intelligence machine learning analysis to the identified products to identify product content information for each identified product and to evaluate the product content information against viewer health criteria to generate a predicted health-related interaction for the viewer which is used to generate a display overlay or augmentation for the display image for providing feedback to the viewer by displaying on the display screen the display overlay or augmentation with the display image.

Abstract: A computer-implemented method including: monitoring, by a computing device, transactions in a blockchain, wherein the transactions are associated with a set of data replicated across a plurality of component members in a distributed computing environment; determining, by the computing device, a status of each of the cloud component members based on the monitoring; determining, by the computing device, a discrepancy in the status between a first component member of the plurality of component members, and a second component member of the plurality of component members; resolving, by the computing device, the discrepancy in the status; and updating, by the computing device, the blockchain to reflect the resolved discrepancy.

Abstract: Methods and systems are provided for navigating to a pre-scheduled vehicle. A code is analyzed for a user including location information pertaining to the pre-scheduled vehicle, wherein the location information indicates a destination for the user. A location of the user is determined based on a GPS sensor. The user is directed to traverse a route between the location of the user and a location of the pre-scheduled vehicle. A destination of the pre-scheduled vehicle is verified as being consistent with the destination for the user indicated by the location information of the code.

Abstract: A method and associated systems for forecastable supervised labels and corpus sets for training a natural-language processing system. An NLP-training system asks an “oracle” expert to answer a predictive test question and, in response, receives from the oracle an answer, rationales for selecting that answer, and identifications of extrinsic natural-language sources of evidence that supports those rationales. The system retrieves updated versions of that evidence at a later time, and returns that updated evidence to the oracle. In response, the oracle returns an updated answer and rationales based on the updated evidence. The system then compares time-varying characteristics of the evidence in order to determine the relative contributions of each piece of evidence to the oracles' selections. Less relevant evidence is discarded and the remaining, optimized, evidence is forwarded to the NLP system to be used as training data.

Abstract: A method includes: receiving, by a computing device, an initial question from a first user device; receiving, by the computing device, a plurality of additional questions from a plurality of additional user devices; decomposing, by the computing device, the initial question and each of the plurality of additional questions using natural language processing; determining, by the computing device, an overall ranking for each of a plurality of words in the plurality of decomposed questions; and generating, by the computing device, a new question by combining words based on the overall ranking.

Abstract: Aspects of the present invention provide an approach for aurally delivering environmental visual information. In an embodiment, a set of images that is within the field of view of the user is captured from a video capture device worn by the user. Environmental text that is within the set of images is identified. An aural contextual indicator that corresponds to the environmental text is then generated. This aural contextual indicator indicates the informational nature of the environmental text. This aural contextual indicator is forwarded to the user via an aural device worn by the user accompanied by, in some embodiments, a vocalization of the content of the environmental text.

Abstract: Streaming media augmentation and delivery includes identifying target streaming media to be streamed to a user device of a user, categorizing streaming media available for augmenting the target streaming media, and producing, based on the categorizing, a set of candidate augmentation streaming media, selecting at least one augmentation streaming media of the set and augmenting the target streaming media with the selected at least one augmentation streaming media to produce an augmented steaming media, where each selected augmentation streaming media is selected based at least in part on the selected augmentation streaming media being a demonstration of application(s) of a subject of the target streaming media, and based on an initiation to stream the target streaming media to the user device, streaming the augmented streaming media to the user device.

Abstract: At least two unmanned air vehicle (UAV) drones are deployed to a target location, the target location being associated with a species. At least one robot is deployed to the target location, wherein the at least one robot mimics an appearance of the species. Sensor data is collected from the at least two UAV drones. The sensor data is analyzed to determine whether a threat condition exists. In response to a determination of the threat condition, the at least one robot is repositioned to counteract the threat condition.

Abstract: A mechanism is provided in a data processing system for question answering using time weighted evidence. The mechanism receives an input question. The mechanism determines a time focus for the input question and defines a weighting function. The weighting function is a bell curve having a peak at the time focus on a time axis. The mechanism decomposes the input question into one or more queries and applies the one or more queries to a corpus of information to obtain a set of hypothesis evidence. Each item of information within the hypothesis evidence has an associated time value. The mechanism weights the set of hypothesis evidence based on the associated time values according to the weighting function to form time weighted evidence and generates hypotheses for answering the input question based on the time weighted evidence.

Abstract: Aspects of the present invention provide an approach for non-visually mapping an environment. In an embodiment, a set of images that is within the field of view of the user is captured from a video capture device worn by the user. Environmental text that is within the set of images is identified. An aural contextual indicator that corresponds to the environmental text is then generated. This aural contextual indicator indicates the informational nature of the environmental text. An aural map of the environment is created using a sequence of the generated aural contextual indicators. This aural map is delivered to the user via an aural output device worn by the user in response to a user request.

Abstract: Methods and systems are provided for navigating to a pre-scheduled vehicle. A code is analyzed for a user including location information pertaining to the pre-scheduled vehicle, wherein the location information indicates a destination for the user. A location of the user is determined based on a GPS sensor. The user is directed to traverse a route between the location of the user and a location of the pre-scheduled vehicle. A destination of the pre-scheduled vehicle is verified as being consistent with the destination for the user indicated by the location information of the code.

Abstract: A cybersecurity system generates feature signatures for respective devices of a plurality of communicatively coupled devices. The cybersecurity system predicts future feature signatures for respective devices. The cybersecurity system determines a first probability of a first future feature signature occurring for a first device. The cybersecurity system determines a second probability of the first future feature signature occurring and accounting for performance decay of the first device. The cybersecurity system mitigates an identified cyberattack based on the first probability and the second probability.

Abstract: As disclosed herein, a method for generating a natural language processing query includes receiving one or more documents, wherein each document comprises a set of words, processing the one or more documents and the sets of words to provide a document content matrix V, a word feature matrix W, and a document feature matrix H, forecasting values for each entry of the word feature matrix and the document feature matrix over a selected time interval and a selected set of domains to provide a forecasted word feature matrix W? and a forecasted document feature matrix H?, calculating a set of coefficients for forecasted document feature matrix H? such that V=W? *H?, determining a rank for each word of the sets of words according to the calculated set of coefficients, and generating one or more queries according to the determined ranks for each word of the set of words.

Abstract: Streaming media augmentation and delivery includes identifying target streaming media to be streamed to a user device of a user, categorizing streaming media available for augmenting the target streaming media, and producing, based on the categorizing, a set of candidate augmentation streaming media, selecting at least one augmentation streaming media of the set and augmenting the target streaming media with the selected at least one augmentation streaming media to produce an augmented steaming media, where each selected augmentation streaming media is selected based at least in part on the selected augmentation streaming media being a demonstration of application(s) of a subject of the target streaming media, and based on an initiation to stream the target streaming media to the user device, streaming the augmented streaming media to the user device.