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 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.

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: Workflow optimization and re-distribution involves a target task set that is determined from a plurality of tasks in a workflow and based on a data flow of the workflow. The target task set is re-distributed to obtain at least one re-distributed task set. Each re-distributed task set indicates a respective data path different from a data path of the target task set and has a same function as the target task set. A simulated data flow for the at least one re-distributed task set is obtained by simulating data flowing in at least one data path indicated by the at least one re-distributed task set. An optimized task set for the target task set is determined based on the simulated data flow for the at least one re-distributed task set.

Abstract: According to one embodiment, a method, computer system, and computer program product for mitigating missed information during an online meeting is provided. The embodiment may include recording, at a computing device of a speaker participant of the online meeting, utterances of the speaker as voice messages during the online meeting. The embodiment may include adding a unique tag to each voice message of the voice messages and transmitting the voice messages to respective computing devices of listener participants of the online meeting. The embodiment may include receiving, at the computing device of the speaker participant, one or more response tags. Based on the received response tags, the embodiment may include identifying details of one or more transmitted voice messages missed by one or more of the respective computing devices of the listener participants and notifying identified respective computing devices of the listener participants of their respectively missed voice messages.

Abstract: In an approach to improve vehicle data management over a vehicle-to-vehicle (V2V) network, computer-implemented methods extract and select collected data according to different needs of an event and one or more travel-related features and exchange the extracted data with other vehicles through the V2V network. Further, the computer-implemented methods categorize received inputs, the collected data and the exchanged data into different categories associated with different events and analyze the categorized inputs to identify a control event. Additionally, the computer-implemented methods determine a specific action is to be performed based on the analysis of the categorized input and identified control event according to predefine rules, and execute the determined specified action.

Abstract: Provided are techniques for training Machine Learning (ML) models to automatically detect and correct contextual and logical errors. A plurality of machine learning models are trained. In response to receiving content, the content is parsed into different elements. One or more knowledge graphs are built based on the different elements. One or more machine learning models are selected from the plurality of machine learning models based on the one or more knowledge graphs and custom criteria in a user profile. The selected one or more machine learning models are used to identify at least one of a contextual error and a logical error and a correction for the at least one of the contextual error and the logical error. The correction for the at least one of the contextual error and the logical error is applied to generate corrected content. The corrected content is rendered.

Abstract: A method for detecting content generated by artificial intelligence is disclosed. In one embodiment, such a method includes monitoring interaction between a user and a generative AI model. The method intercepts a response returned from the generative AI model to the user and embeds, within the response prior to its return to the user, codes that are invisible to the user when viewing the response. In certain embodiments, these codes are embedded within the response in a particular invisible code insertion pattern to indicate that the response was generated by the generative AI model. The method returns the response to the user for viewing. A third party may utilize the embedded codes to determine whether the response was generated by the generative AI model. A corresponding system and computer program product are also disclosed herein.

Abstract: According to one embodiment, a method, computer system, and computer program product for data restoration is provided. The present invention may include categorizing one or more workloads within an organization; determining a restoration priority of the affected one or more tasks based on the categorizing responsive to identifying actual or predicted data loss affecting one or more tasks comprising one of the one or more workloads; selecting one or more restore scenarios for the affected one or more tasks based on the restoration priority; and executing a plurality of actions comprising the one or more selected restore scenarios responsive to selecting the one or more restore scenarios.

Abstract: A transmission mode of an interrogation from an RFID reader is the basis for determining a responsive communication. Transmission modes matching a pre-defined pattern are the basis for returning expected information, such as an identification code. When the received interrogations do not match a transmission mode, information not helpful in identification is returned, such as, for example, a null code, an incorrect code, or an error code. An RFID tag includes a circuit for analyzing frequencies of the received interrogation, the analysis revealing the transmission mode, which may include frequency value or range, duration of transmission, and number of frequencies received during the interrogation.