Abstract: A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area.

Abstract: A system, method, and computer program product are disclosed. The method includes receiving a first text unit, extracting features from the first text unit, receiving a second text unit, extracting features from the second text unit, receiving a portion comprising the first text unit and the second text unit, and aggregating the features extracted from the first text unit and the features extracted from the second text unit. The method also includes generating a set of scores for the first text unit, the second text unit, and the portion, and based on the set of scores, selecting at least one ground truth candidate from the first text unit, the second text unit, and the portion. Additionally, the method includes determining that the at least one ground truth candidate includes at least one confirmed ground truth, and adding the at least one confirmed ground truth to a ground truth repository.

Abstract: A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area.

Abstract: An embodiment generates a candidate retraining dataset in response to a retraining request. The embodiment generates first metadata comprising attribute information for data points in the candidate retraining dataset and second metadata comprising a range of attributes from training data previously used to train the model. The embodiment determines whether the candidate retraining dataset includes new information for the machine learning model based on a comparison of the first metadata to the second metadata. In a first case in which the candidate retraining dataset is determined to include new information, the embodiment initiates retraining of the machine learning model using the candidate retraining dataset. In a second case in which the candidate retraining dataset is determined to not include new information, the embodiment generates a response to the retraining request indicating that retraining the machine learning model using the candidate retraining dataset is not recommended.

Abstract: A computer implemented method for forecasting sensor states in a sensor network is provided. A number of processor units identifies weights and changes in the weights over time in a temporal graph of the sensor network using a temporal graph neural network trained using the temporal graph. The number of processor units determines patterns of the weights based on the weights and the changes in the weights over time. The number of processor units trains a regression machine learning model using the patterns of the weights to forecast sensor states for sensors in the sensor network.

Abstract: A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes obtaining vehicle information related to at least one vehicle attribute. The method also includes applying weightage factors to the at least one vehicle attribute. The method also includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area and based on the weightage factors of the vehicle components.

Abstract: A multidimensional system for generating a multimedia search engine is provided. A computer device identifies a plurality of independently separable aspects of a multimedia file. The computing device provides at least one independently separable aspect of the plurality of independently separable aspects as input into an object detection model. The computing device receives, from the object detection model, an identification of at least one object and a corresponding level of confidence that the object is present in the multimedia file. The computing device classifies the object as either confident or not confident, based on whether the level of confidence meets a threshold level of confidence. The computing device generates a multimedia search engine based, at least in part, on the object and the classification.

Abstract: A processor may identify that a user is interacting with a device, where the interacting is identified from the user touching the device. The processor may receive tactile data associated with the user from one or more tactile sensors. The processor may extract, utilizing an AI model, one or more features of the tactile data. The processor may classify, utilizing the AI model, the tactile data as having a tactile data characteristic. The processor may output the classification to an interaction management module.

Abstract: A processor may identify that a user is interacting with a device, where the interacting is identified from the user touching the device. The processor may receive tactile data associated with the user from one or more tactile sensors. The processor may extract, utilizing an AI model, one or more features of the tactile data. The processor may classify, utilizing the AI model, the tactile data as having a tactile data characteristic. The processor may output the classification to an interaction management module.

Abstract: A system, method, and computer program product are disclosed. The method includes receiving a first text unit, extracting features from the first text unit, receiving a second text unit, extracting features from the second text unit, receiving a portion comprising the first text unit and the second text unit, and aggregating the features extracted from the first text unit and the features extracted from the second text unit. The method also includes generating a set of scores for the first text unit, the second text unit, and the portion, and based on the set of scores, selecting at least one ground truth candidate from the first text unit, the second text unit, and the portion. Additionally, the method includes determining that the at least one ground truth candidate includes at least one confirmed ground truth, and adding the at least one confirmed ground truth to a ground truth repository.

Abstract: A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes obtaining vehicle information related to at least one vehicle attribute. The method also includes applying weightage factors to the at least one vehicle attribute. The method also includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area and based on the weightage factors of the vehicle components.

Abstract: A multidimensional system for generating a multimedia search engine is provided. A computer device identifies a plurality of independently separable aspects of a multimedia file. The computing device provides at least one independently separable aspect of the plurality of independently separable aspects as input into an object detection model. The computing device receives, from the object detection model, an identification of at least one object and a corresponding level of confidence that the object is present in the multimedia file. The computing device classifies the object as either confident or not confident, based on whether the level of confidence meets a threshold level of confidence. The computing device generates a multimedia search engine based, at least in part, on the object and the classification.

Abstract: A method, system, and computer program product for identifying intra sentence vague components includes: receiving a first sentence, assigning tokens to each component of the first sentence, comparing a total number of tokens of the first sentence to a threshold number of tokens, in response to determining that the total number of tokens is less than the threshold number of tokens, identifying one or more relevant complete sentences from a database, determining a best sentence from the one or more relevant complete sentences, and determining a vague component of the first sentence by comparing the best sentence to the first sentence.

Abstract: A method, system, and computer program product for identifying intra sentence vague components includes: receiving a first sentence, assigning tokens to each component of the first sentence, comparing a total number of tokens of the first sentence to a threshold number of tokens, in response to determining that the total number of tokens is less than the threshold number of tokens, identifying one or more relevant complete sentences from a database, determining a best sentence from the one or more relevant complete sentences, and determining a vague component of the first sentence by comparing the best sentence to the first sentence.