Abstract: Mechanisms are provided for presenting emotional feedback during real-time online communications. The mechanisms collect real-time online communication data of a participant computing device and executes first artificial intelligence (AI) computer model(s) on the collected real-time online communication data to extract key features indicative of an emotional state of a participant associated with the participant computing device. The mechanisms execute second AI computer model(s) to classify the extracted key features into an emotional feedback classification. The mechanisms map the emotional feedback classification to an emotional feedback element, in a library of emotional feedback elements, corresponding to the emotional feedback classification. The mechanisms modify a data stream, of the real-time online communication, associated with the participant computing device to include the emotional feedback element.

Abstract: A method, according to one approach, includes: dividing a system into different levels in response to receiving a request to convert objects in the system into digital twins. The method also includes constructing digital twins of the objects in the respective system levels. Digital twins of objects in the same system level are assigned a same hierarchy value and digital twins of objects in different system levels are assigned different hierarchy values. Moreover, at least two of the digital twins of objects in a given system level are configured to perform a same operation, and at least two of the digital twins of objects in the given system level are configured to perform different operations. The method also includes directing operation requests intended for one or more of the objects to the respective digital twin(s), and the operation requests are performed by the respective digital twin(s).

Abstract: Embodiments herein describe displaying popups in web conferences for vague phrase that may have multiple definitions or meanings. To select the correct definition or meaning, the system can determine or monitor a context of the web conference. In one embodiment, the system uses the context to index into a dictionary to select one of the definitions for phrases that have multiple definitions. A popup with the selected definition can then be displayed in the web conference.

Abstract: A computer-implemented method is provided. A processor set determines a set of data to be collected from a number of autonomous vehicles in real-time. The set of data comprises anonymized data associated with operations for the number of autonomous vehicles. The processor set collects the set of data from the number of autonomous vehicles through internet of things (IoT) devices from the number of autonomous vehicles using a central server. The processor set generates a digital map based on the set of data, wherein locations for the number of autonomous vehicles are shown in the digital map. The processor set displays the digital map to a number of users within a predefined proximity to the number of autonomous vehicles.

Abstract: In some implementations, a metaverse platform determines an attention direction associated with an avatar in a virtual space having two or more groups of additional avatars rendered therein. Each of two or more conversations may be associated with a respective group of the two or more groups. The metaverse platform may determine, based on the attention direction, an interest prediction indicative of a predicted group of interest of the two or more groups. The metaverse platform may provide, based on the interest prediction and to a client associated with the avatar, experience enhancement data to cause an output device associated with the client to output an experience enhancement corresponding to a conversation associated with the predicted group of interest.

Abstract: A processor set receives data detected from sensor devices associated with an online conference session. The processor set, based on analyzing the data, determines a contribution score for each of a plurality of participants attending the online conference, which is being conducted via the video stream. The contribution score indicates a participant's level of contribution during the online conference session. The processor set controls performing of an automatic close-up of a camera view in the online conference session to a participant having a highest contribution score among the plurality of participants attending the online conference being conducted via the video stream.

Abstract: Generating queries in a heterogeneous cloud computing environment is provided. The method comprises transforming disparate statistical formats into a unified representation to standardize statistical metadata between relational databases and NoSQL databases. SQL-derived NoSQL statistics are integrated into a unified repository according to the unified representation. Mapped NoSQL statistics are integrated into relational database query optimizers. An optimal predicate pushdown strategy and an execution plan for a query across heterogeneous databases are determined according to the standardized statistical metadata. The query to the heterogeneous databases is then executed according to the relational database query optimizers and the optimal pushdown strategy and execution plan.

Abstract: Techniques are described with respect to a system, method, and computer program product for generating vehicular-based visualizations. An associated method includes receiving a plurality of vehicular parameters associated with a vehicle; analyzing the plurality of vehicular parameters based on a user profile associated with at least one occupant of the vehicle; and generating a virtual environment visualization associated with the vehicle based on the analysis.

Abstract: For a set in sets of candidate factors, a classification model is trained to predict a computer problem possibility, an accuracy score of the classification model is determined based on model validation, and factor weights of the candidate factors in the set are adjusted based on the accuracy score. This processing is done with respect to all sets of candidate factors. A low accuracy classification model having an accuracy score lower than a threshold criterion is selected. A higher accuracy classification model having an accuracy score that is higher than the accuracy score of the low accuracy classification model is selected. The set of candidate factors used to train the low accuracy classification model is updated using one or more of the candidate factors used to train the higher accuracy classification model. The low accuracy classification model is updated based on the updated set of candidate factors.

Abstract: The present disclosure provides a method for reading a solid state disk, including: dividing a plurality of logic planes of a logic unit in the solid state disk into a first plane group and a second plane group; assigning a first processing process to the first plane group and a second processing process to the second plane group; in response to there being a first read request in a first message queue of the first processing process and no second read request in a second message queue of the second processing process, sending the first read request to the solid state disk through the first processing process; in response to there being the first read request in the first message queue and the second read request in the second message queue, sending the read requests to the solid state disk through the first processing process or the second processing process.

Abstract: Provided are a computer program product, system, and method for providing a repository of audio files having pronunciations for text strings to provide to a speech synthesizer. The repository has data structures for text strings in documents. A data structure for a text string indicates at least one attribute of a presentation of the text string in the document and at least one audio file providing at least one audio pronunciation of the text string. A search text string and a search attribute are received from the speech synthesizer. A determination is made of a data structure in the repository including a text string and an attribute matching the search text string and the search attribute, respectively. An audio file, indicated in the determined data structure, is returned to the speech synthesizer to output for the search text string in a document being processed by the speech synthesizer.

Abstract: A computer-implemented method may include receiving, by a processor set, environmental data, vehicle data, and traffic data; identifying, by the processor set, a road segment based on the environmental data; identifying, by the processor set, a risk associated with the road segment based on the environmental data, vehicle data, and traffic data; determining, by the processor set, a driving mode based on the risk, wherein the driving mode comprises a battery priority mode and a fuel priority mode; and instructing, by the processor set, a hybrid electric vehicle (HEV) to enforce the driving mode, wherein the instructing causes the HEV to change the driving mode.

Abstract: Computer-implemented methods, computer program products, and computer systems include program code continuously detecting software versions of custom resources and operators, where the software versions are associated with software provided as a service to the custom resources by an application programming interface (API) communicatively coupled to the operators. Based on the detecting, the program code determines, for each custom resource, whether an operator in the multiple tenant environment is providing a software version of the custom resource. Based on determining for a given custom resource of the custom resources that no operator in the multiple tenant environment is providing the software version of the given custom resource, the program code automatically deploys a new operator in a designated namespace, where the new operator provides the software version of the given custom resource to the given custom resource and the designated namespace is dedicated to the new operator.

Abstract: A method, according to one embodiment, includes causing a plurality of evaluation bots to evaluate information about a first new invention, where the evaluation bots are configured to identify and exclude sub-portions of the information during the evaluations. The sub-portions of the information are based on human opinion. The method further includes using an output of the evaluation bots to calculate scores for factors identified during the evaluations of the information about the first new invention. The method further includes determining, based on the calculated scores, a total novelty score for the first new invention, and correlating the total novelty score to a suggested action, where the suggested action corresponds to a course of action to follow with respect to securing intellectual property rights of the first new invention. The suggested action is displayed on a display of a user device.

Abstract: A method, according to one approach, includes: causing a received query to be translated from a first language to a second language. The method also includes generating potential answers for the translated query, and extracting features from the translated query. The method also includes causing the extracted features to be converted into feature vectors. The method also includes causing the feature vectors to be compared against existing vectors in a knowledge base that correspond to past question-answer pairs. The method also includes causing the potential answers to be ranked based at least in part on an outcome of comparing the feature vectors against the existing vectors in the knowledge base. Furthermore, the method includes causing a final answer to be generated based at least in part on the ranked potential answers.

Abstract: A method, according to one approach, includes: causing a received query to be translated from a first language to a second language. The method also includes generating potential answers for the translated query, and extracting features from the translated query. The method also includes causing the extracted features to be converted into feature vectors. The method also includes causing the feature vectors to be compared against existing vectors in a knowledge base that correspond to past question-answer pairs. The method also includes causing the potential answers to be ranked based at least in part on an outcome of comparing the feature vectors against the existing vectors in the knowledge base. Furthermore, the method includes causing a final answer to be generated based at least in part on the ranked potential answers.

Abstract: Abstracting objects captured in images is provided. A plurality of relevant points is identified on each of one or more of a set of objects captured in an image of an environment needing to be abstracted. The plurality of relevant points is inserted into the image forming an abstraction of each of the one or more of the set of objects. Details in the image are masked except for the plurality of relevant points corresponding to each of the one or more of the set of objects inserted into the image to form an abstracted image of each of the one or more of the set of objects in the environment to preserve confidentiality.

Abstract: Automatic provision by a computing device of navigation for a hybrid-electric vehicle to best take advantage of dual-powering capabilities of the hybrid-electric vehicle. A computing device receives a destination for a hybrid-electric vehicle to navigate the hybrid-electric vehicle to. The computing device accesses a current location of the hybrid-electric vehicle. The computing device accesses current and historical vehicle data for the hybrid-electric vehicle. The computing device accesses current and historical traffic data for the hybrid-electric vehicle. The computing device accesses driver data. The computing device accesses point-of-interest data for the current location in which the hybrid-electric is located. The computing device generates automatically one or more driving routes for the hybrid-electric vehicle based upon the destination, current location, current and historical vehicle data, current and historical traffic data, driver data, and point-of-interest data.

Abstract: A computer-implemented method to alter a standard mode of operation in a hybrid vehicle. The method includes generating a driving profile for a hybrid vehicle, wherein the hybrid vehicle comprises an electric motor and a combustion engine. The method further includes estimating, based on the driving profile, an amount of future driving. The method also includes predicting based on the amount of future driving, a fuel burn rate and a fuel expiration. The method includes generating a fuel burn plan configured to burn an amount of fuel prior to the fuel expiration. Further aspects of the present disclosure are directed computer program products containing functionality consistent with the method described above.

Abstract: A computer implemented method provides vehicle to vehicle communications. Vehicle light signals encoding traffic information are received from a source vehicle travelling on a road at a light signal device in a light signal network. The traffic information encoded in the vehicle light signals are stored to form stored traffic information. Transmission light signals encoding the stored traffic information are transmitted from the light signal network to a receiver vehicle in response to detecting the receiver vehicle traveling along the road. According to other illustrative embodiments, a computer system and a computer program product for vehicle to vehicle communications are provided.