Abstract: Techniques are described herein that are capable of detecting an algorithmic attack against a hosted artificial intelligence (AI) system based on inputs (e.g., queries) and outputs of the hosted AI system. In a first example, a feature-based classifier model is used to generate a classification score based on features that are derived from numerical representations of the queries and the outputs, and an algorithmic attack is detected based on the classification score being greater than or equal to a score threshold. In a second example, a transformer-based model is used to generate a vector by providing a multivariate time series, which is based on attribute(s) of the inputs and attribute(s) of the outputs, as an input to the transformer-based model, and an algorithmic attack is detected based on a distance between the vector and a point corresponding to a reference vector being less than or equal to a distance threshold.

Abstract: Examples described herein generally relate to processing event logs where, for each of multiple events in an event log of the one or more event logs, a table of logged event instances can be generated for the event. For each of the multiple events, the table can be processed using an autoencoder to identify one or more of the logged event instances as anomalies, and an indication of at least a portion of the anomalies can be output. In addition, the event logs and/or corresponding tables of events can be used to train models for the autoencoders.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to access a plurality of features pertaining to an event, apply an anomaly detection model on the accessed plurality of features, in which the anomaly detection model may output a reconstruction of the accessed plurality of features. The processor may calculate a reconstruction error of the reconstruction, determine whether a combination of the plurality of features is anomalous based on the calculated reconstruction error, and based on a determination that the combination of the plurality of features is anomalous, output a notification that the event is anomalous.

Abstract: Examples described herein generally relate to processing event logs where, for each of multiple events in an event log of the one or more event logs, a table of logged event instances can be generated for the event. For each of the multiple events, the table can be processed using an autoencoder to identify one or more of the logged event instances as anomalies, and an indication of at least a portion of the anomalies can be output. In addition, the event logs and/or corresponding tables of events can be used to train models for the autoencoders.

Abstract: A computer-implemented method of generating fuel price data for at least one fuel type of a plurality of fuel types, the method being implemented in a computer comprising a memory in communication with a processor. The method comprises receiving, as input to the processor, unassigned delivery capacity data, the unassigned delivery capacity data indicating delivery capacity available for any one of the plurality of fuel types, receiving, as input to the processor, assigned delivery capacity data, the assigned delivery capacity data indicating, for each fuel type of the plurality of fuel types, delivery capacity only available for the fuel type of the plurality of fuel types and processing, by the processor, the assigned delivery capacity data and the unassigned delivery capacity data to generate the fuel price data for the at least one fuel type.

Abstract: A computer-implemented method of selecting a fuel type for a retail fuel site, the method being implemented in a computer comprising a memory in communication with a processor. The method comprises receiving, as input to the processor, data indicating a relationship between fuel price and fuel sales for a plurality of fuel types and receiving, as input to the processor, data indicating a property of the retail fuel site. The data indicating a relationship between fuel price and fuel sales for each of the plurality of fuel types is processed by the processor and the data indicating a property of the retail fuel site to select the fuel type for the retail fuel site.

Abstract: A computer-implemented method of generating fuel price data for a retail fuel site, the method being implemented in a computer comprising a memory in communication with a processor. The method comprises receiving, as input to the processor, data indicating a relationship between fuel sales and store sales at said retail fuel site and receiving, as input to the processor, data indicating a relationship between fuel price and fuel sales at said retail fuel site. The data indicating a relationship between fuel sales and store sales at said retail fuel site and said data indicating a relationship between fuel price and fuel sales at said retail fuel site are processed by the processor to generate said fuel price data.

Abstract: A computer-implemented method of generating fuel price data for each of a plurality of associated retail fuel sites, the method being implemented in a computer comprising a memory in communication with a processor. The method comprises receiving, as input to the processor, a total volume fuel sales target for the plurality of associated retail fuel sites and processing, by the processor, the total volume fuel sales target for the plurality of associated retail fuel sites to generate volume fuel sales targets for each of the plurality of associated retail fuel sites. The volume fuel sales targets for each of the plurality of associated retail fuel sites is processed, by the processor, to generate the fuel price data.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure relates to compounds, which are useful for regulating the expression of apolipoprotein A-I (ApoA-I), and their use for treatment and prevention of cardiovascular disease and related disease states, including cholesterol- or lipid-related disorders, such as, for example, atherosclerosis.

Abstract: Compounds and methods are provided for treating patients suffering from health condition associated with an expression state of a gene such as fertility disorders, cancer, proliferative diseases, vascular diseases, wounds requiring therapeutic intervention, inflammation, and pulmonary disorders by administering to said patient a compound capable of modulating egr-1 and/or an egr-1 response element consensus sequence thereby altering the expression state of said gene. Also described are new methods for screening compounds to identify effectors of egr-1 and/or egr-1 consensus sequence elements and methods for treating patients by administering such effectors to modulate egr-1 and/or egr-1 consensus sequences to thereby modify expression of genes associated therewith to in turn treat diseases or other physiological conditions associated with such gene expression.

Abstract: A computer implemented method for displaying values for an output variable. The method comprises: displaying a first user interface element configured to present values of a first input variable; displaying a second user interface element configured to present values of a second input variable; displaying a third user interface element configured to present values of an output variable, said output variable varying in dependence upon said first and second input variables; receiving first user input of a value for said first variable via said first user interface element; receiving second user input of a value for said second variable via said second user interface element; and updating said third user interface element to indicate at least one value of said output variable in response to said first user input and said second user input.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: The present disclosure provides non-naturally occurring polyphenol compounds that upregulate the expression of Apolipoprotein A-I (ApoA-I). The disclosed compositions and methods can be used for treatment and prevention of cardiovascular disease and related disease states, including cholesterol or lipid related disorders, such as, e.g., atherosclerosis.

Abstract: Compounds comprising nitric oxide derivatives of stilbenes, polyphenols and flavonoids and methods of their use are provided for treating patients suffering from any of hypercholesterolemia, vascular oxidative stress and endothelial dysfunction.