Abstract: In some embodiments, a method for controlling a learning machine used in a drilling operation to drill a well into a subsurface formation includes receiving, via a video stream, an image of debris including cuttings from the drilling operation. The method may further include generating a first mask on the image to identify the cuttings in the debris, generating, via instance segmentation, a second mask for each of the identified cuttings, determining, based on the second masks, one or more properties of each of the cuttings, and associating each of the identified cuttings to a depth interval of the subsurface formation based, at least in part, on the properties of each of the identified cuttings and at least one property of the drilling operation.

Abstract: Disclosed herein is an AI based system and method for generating warning alerts for a location to be excavated. The method comprises obtaining, from at least one external source, at least one underground asset map of the location to be excavated. For each of the at least one underground asset map, the method comprises locating a region of interest within the underground asset map corresponding to an identified underground utility service provider and extracting at least one feature within the region of interest. The at least one extracted feature is then compared with a plurality of features stored in a repository corresponding to the identified underground utility service provider, to determine a match. In response to the determination, the extracted feature is identified as a risk feature corresponding to the identified underground utility service provider and one or more warning alerts indicative of risk assets are generated.

Abstract: Methods and systems for forecasting in sparse data streams. In an example embodiment, steps or operations can be implemented for mapping a time series data stream to generate forecast features using a neural network, transforming the forecast features into a space with transformed forecast features thereof using metric learning, clustering the transformed forecast features in a cluster, initializing a forecast learning algorithm with a combination of the transformed forecast features in the cluster corresponding to a sparse data stream, and displaying forecasts in a GUI dashboard with information indicative of how the forecasts were achieved, wherein the mapping, the transforming, the clustering, and the initializing together lead to increases in a speed of the forecasting and computer processing thereof.

Abstract: Additional background information is used with a trained neural network based model to help classify whether text is a subtly and/or ambiguously offensive. This additional background information can come from different sources such as the article on which the comment was made, world knowledge about the external entities (e.g., Wikipedia, Urban Dictionary), phrases referenced in the text being classified, and, the context of the previous comments/text in the thread. The background information is retrieved based on key entities (e.g., people, places things) and/or key phrases in the comment. Sentence matrix encodings are built for both the comment and the background information. The background information encoding is used to condition the comment encoding. The background information encoding, and the conditioned comment encoding are fed to a trained multi-level perceptron to classify the comment as hate speech or non-hate speech.

Abstract: Additional background information is used with a trained neural network based model to help classify whether text is a subtly and/or ambiguously offensive. This additional background information can come from different sources such as the article on which the comment was made, world knowledge about the external entities (e.g., Wikipedia, Urban Dictionary), phrases referenced in the text being classified, and, the context of the previous comments/text in the thread. The background information is retrieved based on key entities (e.g., people, places things) and/or key phrases in the comment. Sentence matrix encodings are built for both the comment and the background information. The background information encoding is used to condition the comment encoding. The background information encoding, and the conditioned comment encoding are fed to a trained multi-level perceptron to classify the comment as hate speech or non-hate speech.

Abstract: Methods and systems for forecasting in sparse data streams. In an example embodiment, steps or operations can be implemented for mapping a time series data stream to generate forecast features using a neural network, transforming the forecast features into a space with transformed forecast features thereof using metric learning, clustering the transformed forecast features in a cluster, initializing a forecast learning algorithm with a combination of the transformed forecast features in the cluster corresponding to a sparse data stream, and displaying forecasts in a GUI dashboard with information indicative of how the forecasts were achieved, wherein the mapping, the transforming, the clustering, and the initializing together lead to increases in a speed of the forecasting and computer processing thereof.

Abstract: Crime information that corresponds to a set of crimes occurrences is gathered. This information is processed time series datasets associated with geographical regions. Based on the time series datasets, a target geographical region is grouped (clustered) with a set of other geographical regions. This clustering is based on statistical similarities among respective time series datasets. Operational information associated with the geographical regions is received. Based on the operational information, and the clustering, a recommended operational allocation is selected to be used in the target geographical region.

Abstract: Apparatus and method for relief of arthritic joint pain aggravated due to change in weather, especially cold, rainy weather. The invention offers a practical method to address this pain while allowing user mobility and without being seen with overt medical contraptions. The invention consists of a specialized pressure sleeve with air at a specified temperature and pressure, design to fit joints and specialized clothing to fasten the sleeves. The method describes the usage of the apparatus to achieve the said goal.