Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: In an approach for discourse-level text optimization, a processor receives an initial text in a first language. A processor applies one or more operators to modify the initial text. A processor evaluates the modified text using a scoring function. A processor determines whether a score generated from the scoring function on the modified text is above a predefined threshold. In response to determining the score is above the predefined threshold, a processor outputs the modified text.

Abstract: Embodiments for intelligent dynamic parking for autonomous vehicles by a processor. A dynamic parking plan may be determined for an autonomous vehicle to travel from a selected location and returning to the selected location within a selected time window according to a transportation network and one or more a variable parking functions in lieu of waiting at the selected location.

Abstract: In an approach for recommending a safe path for people to navigate an environment, a processor generates a contact graph for a user in a group of users in an area, based on a pre-defined distance measurement between the user and another user in a same timestamp during a pre-defined time period. A processor builds a profile for the user based on the contact graph, the profile including a probability model corresponding to the contact graph to estimate an infection probability for the user. A processor calculates an initial route for the user from a first location to a second location in the area. A processor analyzes an infection risk for the user based on the profile and other users within a pre-defined distance to the user in the initial route. A processor updates the initial route based on the analysis to minimize the risk to be infected.

Abstract: An electric working machine includes battery packs, a working device to be driven by electric power discharged from the battery packs, one or more battery monitors to monitor states of the battery packs, and a controller to control charging and discharging of the battery packs, wherein, in a discharging mode for driving the working device, the controller selects one of the battery packs as a discharging battery pack for supplying electric power to the working device, based on a result of monitoring the battery packs by the one or more battery monitors, and in a charging mode, the controller selects one of the battery packs as a charging battery pack to be charged, based on a result of monitoring the battery packs by the one or more battery monitors.

Abstract: Embodiments for intelligent discovery of preferred chemical reaction pathways to a synthesized target compound by a processor. Target compound data of a target compound a user intends to synthesize may be received. A preference score for one or more chemical reaction pathways to the target compound may be calculated based on one or more chemical reactions. One or more preferred chemical reaction pathways to the targeted compound may be determined using a modified retrosynthetic analysis according to the preference score for one or more chemical reactions.

Abstract: In an approach to predictive contact tracing, a computer receives a query associated with contact tracing of a person with an infection. A computer retrieves timestamped location data associated with the person over a period of time. Based on the retrieved data, a computer creates a contact graph associated with the person, where the contact graph depicts one or more other people that were in contact with the person over the period of time. A computer retrieves medical data associated with the person and the one or more other people that were in contact with the person over the period of time. Based on the retrieved data, a computer builds a probabilistic model. A computer runs the probabilistic model to provide a prediction of a probability of infection of the one or more other people over the period of time as a result of being in contact with the person.

Abstract: A computer implemented method of modifying molecular structures constrained by a budget is provided. The computer implemented method includes receiving from a user a subset of molecules, where each molecule is represented as a generation path, and receiving from the user an allotted budget for modifying a selection of molecules from the subset of molecules. The computer implemented method further includes testing a first molecule, and reducing the allotted budget based on the resources expended to test the first molecule. The computer implemented method further includes testing a second molecule, and reducing the allotted budget based on the resources expended to test the second molecule. The computer implemented method further includes determining a remaining amount of the allotted budget, and testing additional molecules from the subset of molecules until the allotted budget is exhausted. The computer implemented method further includes presenting the tested molecules to the user.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to facilitating code development by predicting one or more code attributes and/or code portions for use in a project code to be written. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a dialogue component that generates a query based on a natural language request comprising a code-related attribute, and a prediction component that predicts another attribute or a code portion to satisfy the request. In an embodiment, an input dataset employed to support the influence mapping can comprise time-stamped tuple data comprising a state, an action and a reward. The code-related attribute can at least partially define a project code, of code to be written.

Abstract: Embodiments for detection of energy consumption anomalies in one or more energy consumption systems in a cloud computing environment by a processor. Energy consumption anomalies associated with a selected facility, a selected object, or a combination thereof may be detected and diagnosed according to feedback and simulation data generated from a scenario-based simulation operation.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate answering questions that involve mathematical computations are provided. In one embodiment, a computer-implemented method comprises: transforming, by a system operatively coupled to a processor, a natural language query into a first logical representation and extrinsic knowledge into a second logical representation relevant to the natural language query; merging, by the system, the first logical representation and the second logical representation into a third logical representation; and generating, by the system, answers for the natural language query based on processing of the third logical representation.

Abstract: Embodiments describe an approach for coordinating the travel of multiple vehicles traveling to a target destination, the embodiments describe generating a travel group, receiving travel group parameters from travel group members, synced GPS applications, and a weather application, generating a course of travel for the travel group members to reach a destination, and tracking each travel group member according to locations identified by the synced GPS applications. Additionally, embodiments describe determining that a subgroup of the travel group is no longer traveling within a pre-determined range of other travel group members; calculating an optimized course of travel for the subgroup to reunite with the other travel group members, adjusting the course of travel to include the optimized course of action for the subgroup, and causing each GPS application to direct the subgroup to travel according to the optimized course of travel.

Abstract: A historical log of a plurality of a type of Internet-connected appliances is collected. a dynamic probabilistic graphical model of the time-lined interactions between subsystems and components of the appliances is generated. The probabilistic graphical model is trained by applying machine learning techniques and applying expert knowledge. A natural language processing (NLP) conversational user interface for diagnostic queries regarding operational errors is provided, and responsive to receive a diagnostic query in a conversational format from a user regarding a particular type, make, and model of an appliance of the plurality of the type of Internet-connected appliances, a diagnostic response is provided to the user interface using the natural language processing conversational format.

Abstract: A computer generates a formal planning domain description. The computer receives a first text-based description of a domain in an AI environment. The domain includes an action and an associated attribute, and the description is written in natural language. The computer receives the first text-based description of the domain and extracts a first set of domain actions and associated action attributes. The computer receives audio-visual elements depicting the domain, generates a second text-based description, and extracts a second set of domain actions and associated action attributes. The computer constructs finite state machines corresponding to the extracted actions and attributes. The computer converts the FSMs into a symbolic model, written in a formal planning language, that describes the domain.

Abstract: A metal titanium production apparatus includes: a reductor that subjects titanium tetrachloride to a reduction process in presence of bismuth and magnesium to obtain a liquid alloy containing titanium and the bismuth; a segregator that subjects the liquid alloy to a segregation process to obtain a precipitate; and a distillator that subjects the precipitate to a distillation process to obtain metal titanium, and the distillator sets an atmosphere so as to preferentially vaporize the bismuth attached to the precipitate and then sets the atmosphere so as to vaporize the bismuth forming the precipitate.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate automated generation of a machine learning pipeline based on a pipeline grammar are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a pipeline structure generator component that generates a machine learning pipeline structure based on a pipeline grammar. The computer executable components can further comprise a pipeline optimizer component that selects one or more machine learning modules that achieve a defined objective to instantiate a machine learning pipeline based on the machine learning pipeline structure.

Abstract: A method incrementally solves a current journey planning request from a user. The solving step performs a current search for at least one journey plan that satisfies the request by accessing a database storing journey planning information derived from results to a plurality of previous requests. The solving step stores, in the database, information discovered during the current search for responding to a subsequent request. The information discovered during the current search for responding to the request includes a reusable portion of a search graph, pairs of a state and a lower bound on a best arrival time and pairs of a state and an exact value for the arrival time. The lower bound is employed to increase an accuracy of a pre-computer heuristic function which guides the search based on state dominance in search spaces in which heuristic values are back propagated and stored in the database.

Abstract: There are provided an apparatus registration method capable of efficiently associating specific information about apparatuses and arrangement information about the apparatuses stored in an operation terminal, a program for implementing the method, and an apparatus system. A method for registration of luminaires associates a plurality of luminaires with items of arrangement information about the luminaires stored in an operation terminal for operating the luminaires.

Abstract: A method includes: receiving, by a computing device, an issue definition of an issue with software; generating, by the computing device and based on the issue definition, an urgency score for the issue, the urgency score representing an urgency of resolving the issue; generating, by the computing device and based on the issue definition, a complexity score for the issue, the complexity score representing a complexity of the issue; identifying, by the computing device using natural language processing and based on the urgency score and the complexity score, an assignee to address the issue, the assignee being a team member of a plurality of team members; recommending, by the computing device, to a user the assignee for assignment to address the issue; and tracking, by the computing device, progress of resolving the issue.

Abstract: Embodiments for using an intelligent transaction optimization assistant by a processor. One or more actions to enhance a transaction experience of one or more users may be provided according to one or more selected constraints learned via a machine learning operation from previous transaction experiences, user behavior relating to the one or more previous transaction experiences, transaction experiences shared amongst entities associated with a social network, or a combination thereof.