Abstract: A secure chain of data blocks is maintained at a given computing node. The given computing node is part of a set of computing nodes in a distributed network of computing nodes wherein each of the set of computing nodes maintains the secure chain of data blocks. The secure chain of data blocks maintained at each computing node comprises one or more data blocks that represent one or more accident related transactions associated with a vehicle. In response to a risk assessment operation, one or more data blocks are added to the secure chain of data blocks maintained at the given computing node.

Abstract: A memory embodies instructions, and a processor is coupled to the memory and is operative by the instructions to facilitate: accessing a source of information regarding farm cultivation techniques; constructing a cultivation knowledge graph by parsing the source of information regarding farm cultivation techniques, using natural language processing; identifying cultivation quality assessment factors by applying machine learning to the cultivation knowledge graph; estimating quality of a farm cultivation task by comparing a stream of real-time data to the cultivation quality assessment factors, wherein the stream of real-time data is related to performance of the farm cultivation task; identifying from the stream of real-time data, using the cultivation knowledge graph, a controllable variable that affects the quality of the farm cultivation task; and improving the quality of the farm cultivation task by facilitating a change in the controllable variable.

Abstract: A media stream is delivered to a searcher by identifying a desirable emotional state for the searcher; identifying a current emotional state of the searcher; and estimating a target emotional trajectory that begins with the current emotional state and concludes with the desirable emotional state. Then the target emotional trajectory is matched to an aggregate emotional trajectory of the media stream; the media stream is recommended to the searcher in response to the matching; and a bit stream of the media stream is rendered to the searcher in response to the searcher's acceptance of the recommendation.

Abstract: Methods and systems for buyback provisioning. A risk level for each of a plurality of items at risk of losing market value is computed and the plurality of items at risk of losing market value are differentiated based on the corresponding risk levels. An identity of candidate substitute items is learned by communicating with a distribution system and one or more of the candidate substitute items to exchange for one of the plurality of items are identified based on one or more contextual factors. An exchange of the item and at least one of the candidate substitute items is facilitated, the facilitating comprising highlighting the item on a graphical user interface to indicate that the item is losing value or is at risk of losing value.

Abstract: A trans-boundary water resource usage detection method, system, and computer program product, including predicting an estimated water usage by an upstream administrative region using a machine learning model and a tracked water usage, detecting an excess water usage when the estimated water usage exceeds a contracted usage value by more than a threshold value by executing a smart contract on blockchain, and penalizing, via a token exchange in blockchain, the upstream administrative region for the excess water usage by executing the smart contract on blockchain.

Abstract: A method, a computer system, and a computer program product for regionalized climate models is provided. Embodiments of the present invention may include selecting a class of a reduced order model. Embodiments of the present invention may include building a neural network in a reduced order space. Embodiments of the present invention may include recovering full state dynamics. Embodiments of the present invention may include training a model. Embodiments of the present invention may include providing an output.

Abstract: Methods and systems for operating a machine learning system are described. In an example, a device can receive an image and assign a set of pixels in the image as a digital representation of a livestock. The device can further train a machine learning model using the digital representation. The device can further run the machine learning model to generate prediction data relating to the livestock. The device can further generate output data relating to at least one activity among a livestock value chain. The at least one activity can correspond to a process to generate a commodity based on the livestock.

Abstract: The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.

Abstract: Methods and systems for culturally sensitive operation of an electronic device. One or more cultural characteristics (CC) related to use of a communication device are determined and one or more cultural characteristics rules are learned. An amelioration action is triggered based on use of the communication device, the one or more cultural characteristics rules, and a confidence/risk level.

Abstract: Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.

Abstract: A system, computer program product, and method are presented for forecasting a spatio-temporal calendar including predicted regions of interest based on time dependent factors such as long-term weather predictions, time-independent factors, and travel constraints. The method includes collecting information and constraints with respect to service visits. At least a portion of the collected information and constraints are directed toward weather and climate. The method also includes predicting weather and climate impacts on at least one geographical region of interest. The method further includes predicting, subject to the predictions of weather and climate impacts, one or more locations of interest within the at least one geographical region of interest that would be impacted by one or more service visits. The method also includes generating one or more spatio-temporal calendars that include the one or more locations of interest scheduled for the one or more service visits.

Abstract: Members of an audience of a visually dynamic event are clustered using a plurality of sources. A current point of interest (POI) of the visually dynamic event and a future POI of the visually dynamic event are identified across the member clusters. An effectiveness score for given content and a given member cluster is computed for the current point of interest and an effectiveness score for a given content and a given member cluster is computed for the future POI by tracking a position, a speed, and a direction of movement of the current POI. A location of a background area is determined and ranked for each member cluster based on the current point of interest. Electronic displays that correspond to the ranked background areas are identified and ranked. Content is distributed across the electronic displays for each current time period based on the ranked display areas.

Abstract: Embodiments for intelligent notification mode switching in user equipment (UE) by a processor. Data may be received from one or more UEs associated with one or more users. Electronic communication switching factors associated with the one or more users may be identified. An implication of a switching notification mode on the one or more UEs based on the electronic communication switching factors may be learned. An electronic communication modes of the one or more UEs associated with the one or more users may be cognitively switched according to the learned implication.

Abstract: Controlling contents of interfaces may include receiving multiple interfaces presented on a display screen. The multiple interfaces may include at least one primary task interface and each of the multiple interfaces may present at least one content item. A user engagement level with respect to content items presented via the multiple interfaces may be estimated. A degree of user effectiveness with respect to progression toward completing a primary task presented via the primary task interface may be determined. A content item may be selected from the multiple interfaces based on the user engagement level and the degree of user effectiveness. A presentation of the selected content item may be made in a controlled manner on an unused portion of at least one of the multiple interfaces.

Abstract: A contextual hashtag generation method, system, and computer program product include receiving content from an online source, identifying a set of contextual indicators for the content, determining an entity-desired outcome for the content, and generating a hashtag for the content using the set of contextual indicators while maximizing the entity-desired outcome.

Abstract: A system, method and program product for implementing a terms of service (ToS) platform. A system is provided that includes a resource tracking system for storing and updating a ToS for a resource according to a defined format in a blockchain; a detector system for detecting transactions associated with the resource; a system for validating a detected transaction relative to the ToS; and a system for composing and storing details associated with the detected transaction in the blockchain.

Abstract: Methods and systems for predicting congestion duration are described. A processor can detect an occurrence of an incident in an area. The processor can receive context data associated with the area from at least one data source. The processor can execute a prediction engine using the received context data to predict a clearance time indicating a predicted completion time of post-incident activities related to the incident in the area. The processor can determine a congestion duration based on the clearance time. The congestion duration can be an estimated duration of congestion in the area in response to the occurrence of the incident. The processor can compare the congestion duration with a threshold. The processor can select, based on the comparison, at least one operation to optimize an amount of congestion in the area. The processor can execute the selected operations to optimize the amount of congestion in the area.

Abstract: Embodiments for facilitating ride scheduling by a processor. An occurrence of an event associated with a user may be predicted based on user data. One or more ride scheduling parameters relating to the event may be determined. One or more ride scheduling models may be determined satisfying the ride scheduling parameters. Facilitate scheduling a vehicle for the user according to the ride scheduling models.

Abstract: A search query can be received. User parameters can be identified based on the search query. The search query can be refined to include the user parameters. A search result from a search for media content using the refined search query can be received. Based on at least one search result received from the search and based on the user parameters, an augmented media content can be generated. Playing of the augmented media content can be synchronized with a user's activity by controlling playing of the augmented media content while detecting the user's activity pace.

Abstract: An exercise chatbot control method through augmented reality, system, and computer program product for controlling an exercise machine including a chatbot include determining a context of a user on the exercise machine via a sensor, learning an effectiveness of an activity for the user using the exercise machine, dynamically configuring the activity for the user on the exercise machine and a level of performance of the activity to an ideal activity level based on a user profile, the context of the user, and the effectiveness of the activity for the user, and providing an output including the ideal activity level from the chatbot to the user.