Abstract: Methods and systems are provided for using personas in conjunction with an artificial intelligence (AI) model to provide answers to user prompts. In an embodiment, a method includes selecting a persona for use in responding to a user prompt, and using the AI model to determine a data source best able to provide an answer to the user prompt, search one or more data sources based on the user prompt and the selected persona, and generate an answer to the user prompt based on search results obtained from the one or more data sources.

Abstract: Aspects of the disclosed technology provide solutions for optimizing pumps in hydraulic fracturing and, in particular, for determining optimal pump rate setpoints for a plurality of fracturing pumps. A process of the disclosed technology can include steps for coupling a plurality of fracking pumps to a respective controller and coupling a manifold to each of the fracking pumps. The process can further include steps for coupling a control system to each of the respective controllers, wherein the control system is configured to perform operations for receiving a total pump rate for the manifold and determining a plurality of pump rate setpoints for each of the plurality of fracking pumps and transmitting the plurality of pump rate setpoints to each of the respective controllers. Systems and machine-readable media are also provided.

Abstract: Apparatuses, methods, and systems for detecting the presence of a beacon are disclosed. An embodiment includes a vehicle that includes a load arm configured to receive a receptacle, a first detector oriented relative to the load arm to receive a first wireless signal when the load arm is in a first position, a second detector oriented relative to the load arm to receive a second wireless signal when the load arm is in a second position, and a controller configured to detect presence of a tag attached to a specific object within the receptacle based on the received signal strengths of the first wireless signal and the second wireless signal.

Abstract: A computer system according to embodiments can retrieve untokenized data and identify tokenizing data elements and non-tokenizing data elements. The computer system can generate dummy data and a cryptographic key using the untokenized data. The computer system can then generate a format-preserving token by encrypting the dummy data using the cryptographic key. The computer system can insert the non-tokenizing characters into the format-preserving token. The computer system can perform further processing on the format-preserving token, including storing the format-preserving token in a token vault.

Abstract: This disclosure relates generally to a method and system for indicating gene expression changes in the host through identification of a category of microbial effector proteins called ‘Nucleomodulins’ (NMs). State-of-the-art methods target to fix the impaired cellular functions due to altered gene expression or altered protein expression. However, targeting NMs which are bacterial effector proteins is not yet achieved. The disclosed method provides identification of NMs in the biological sample of the host. Further, the biological sample is analyzed to identify pre-defined set of NMs or an unknown NMs through a plurality of ways. On of the way include constructing and utilizing a knowledgebase comprising NMs identified through curated literature search engines known to cause altered gene expression. Further, functional annotation of the NMs is performed by computationally analysing the corresponding protein sequences.

Abstract: A method for obtaining mechanical properties of a rock sample. The method includes measuring a bulk density and a total porosity of the rock sample; identifying mineral phases and measuring volume fractions of the mineral phases relative to total volume of the rock sample; inputting the bulk density, the total porosity, and the volume fractions into a computational model executing on a computing system; processing the data into the computational model; determining static and dynamic mechanical properties of the rock sample; identifying oil and gas reservoir based on the dynamic mechanical properties; estimating reserve of the oil and gas reservoir based on the dynamic mechanical properties of the rock sample; designing effective production strategies for the oil and gas reservoir based on the static mechanical properties; and selecting appropriate drilling tools and hydraulic fracturing operations for the oil and gas reservoir based on the static mechanical properties.

Abstract: The present disclosure provides composition and methods for improving leaf quality of low-alkaloid tobacco plants. Also provided are the identification and genetic engineering of target genes (Leaf Quality Genes) for producing tobacco plants with altered total alkaloid and nicotine levels and commercially acceptable leaf grade, their development via breeding or transgenic approaches, and production of tobacco products from these tobacco plants.

Abstract: Methods and systems for extracting and processing data using optical character recognition in real-time environments. For example, the methods and systems provide novel techniques during extracting data using OCR and for a mechanism to process that data. These methods and systems are particularly relevant in real-time environments as the methods and system limit the need for manual review.

Abstract: A method for using machine-learning to determine user-specific guidance may include receiving one or more item-level reports from one or more users. Individual item data of each of the one or more item-level reports may be determined. In response to determining that a trigger condition has been satisfied, a user data process may be performed, including transmitting an item-level report associated with the unique user, or identifying prior item-level data from an account associated with the unique user. Data obtained by the user data process and the individual item data may be provided to a machine-learning model. The machine-learning model may output guidance for the unique user. The guidance for the unique user may be transmitted to at least one computing device associated with the unique user.

Abstract: A method for analyzing imaging obtained from background access to a camera may include detecting, via a first electronic application (the “FEA”) operating on a device, that a second electronic application (the “SEA”) operating on the device, separate from the FEA, is accessing the camera of the device to observe an item identifier (the “II”) of a physical item (the “PI”) to be added to a collection of PIs; extracting, via the FEA, the II from imaging data captured by the camera; determining, via the FEA, a value of the PI based on the extracted II; determining, via the FEA, a total value of the collection based on the value; generating, via the FEA, at least one status assessment of a user associated with the device based on the total value; and executing, via the FEA, at least one action based on the at least one status assessment.

Abstract: Existing methodologies apply correlations blindly on the entire event dump leading to many irrelevant correlation signatures and miss out many correlation signatures due to its weak confidence and ignores the events which are observed rarely. These approaches also generate large number of correlation signatures which becomes overwhelming to consume. Embodiments of the present disclosure provide systems and methods for managing event correlations. Events information of an enterprise along with associated timeseries is received and a right correlation scope and a plurality of self-tuned time windows are selected. The correlation scope and the plurality of self-tuned time windows are then used for deriving a plurality of event correlation signatures associated with a set of candidate events. The derived event correlation signatures are then interpreted to obtain a filtered set of event correlation signatures.

Abstract: A method and a system comprising disposing an acoustic logging tool into a wellbore, wherein the acoustic logging tool comprises an acoustic transmitter, an acoustic transducer, and/or an acoustic receiver; transmitting one or more acoustic waveforms from the acoustic logging tool with the acoustic transmitter or the acoustic transducer. Additionally, the method and system may be configured for recording one or more reflected acoustic waveforms at the acoustic logging tool with the acoustic receiver or the acoustic transducer; separating a first echo segment and a reverberation segment of a reflected waveform from the one or more reflected acoustic waveforms; and performing an inversion on at least the first echo segment, wherein the inversion comprises: producing a casing thickness.

Abstract: A system for conditioning a gas includes an inlet configured to receive the gas from a gas source. The system also includes a strainer downstream from the inlet. The strainer is configured to remove debris from the gas. The system also includes a first flowpath downstream from the strainer. The first flowpath includes a first pressure regulator that is configured to regulate a pressure of the gas by a first amount. The system also includes a second flowpath downstream from the strainer. The first and second flowpaths are parallel. The second flowpath includes a second pressure regulator that is configured to regulate the pressure of the gas by a second amount. The system also includes one or more flowpath valves downstream from the strainer and upstream from the first pressure regulator, the second pressure regulator, or both.

Abstract: In some embodiments, conserving computational resources by reducing network traffic predictions via machine learning models may be facilitated. In some embodiments, in connection with a first scheduled time for automated triggering of network resource predictions via a first machine learning model at scheduled times, a first resource usage prediction is received, via the first machine learning model, for a service executing within a computing environment. A first resource allocation process is performed for the service based on the first resource usage prediction. In connection with detecting that an amount of actual traffic corresponding to the service satisfies a traffic threshold for a threshold amount of time, a second resource allocation process is performed, before a second scheduled time next in the scheduled times after the first scheduled time.

Abstract: Systems and methods for censoring text characters in text-based data are provided. In some embodiments, an artificial intelligence system may be configured to receive text-based data and store the text-based data in a database The artificial intelligence system may be configured to receive a list of target pattern types identifying sensitive data and receive censorship rules for the target pattern types determining target pattern types requiring censorship.

Abstract: Disclosed is a sterile MRI probe infusion device for preparing and administering a hyperpolarized MRI probe to a patient in need thereof. The device includes one or more reaction chambers, where a hyperpolarized MRI probe is prepared, separated from the reaction mixture, concentrated, and a solution of suitable concentration for administration to a patient is prepared. Also disclosed is a method of preparing and administering a hyperpolarized MRI probe by the use of the device to a patient in need thereof for diagnosing stages of a disease or an adverse condition or monitoring progress of a treatment of the patient having a disease or an adverse condition.

Abstract: A system and method for validating target account data based on inputs from a user. The system may include a memory storing instructions, and a processor configured to execute the instructions to perform operations. The operations may include providing an interface; receiving a first input; receiving a second input; enabling selection of an activatable element; conducting a lookup associated with the received inputs; receiving a result of the lookup; transforming the result of the lookup into a transformed result that predicts the probability of verification; and displaying transformed result to demonstrate the validity of the received inputs.

Abstract: A device receives, from a user device, a request to generate a verification code for a transaction associated with a user of the user device, and receives user profile information associated with a transaction card to be used for the transaction. The device generates a random verification code for the transaction based on the request and the user profile information, and authenticates the random verification code, based on the user profile information, to generate an authenticated random verification code. The device provides the authenticated random verification code to the user device, and receives transaction information, including the authenticated random verification code, from a merchant device associated with the transaction. The device validates the transaction based on the transaction information, and provides, to the merchant device associated with the transaction, information indicating that the transaction is validated.

Abstract: Disclosed herein are various embodiments for a camera guide alignment and auto-capture system with image processing. An embodiment operates by generating a base image of a document as displayed within a viewfinder of a camera that includes a visual guide. A tilt associated with the base image is identified. One or coordinates corresponding to a position of the visual guide are identified. A perspective correction is performed on the base image based on the coordinate(s) to generate a corrected image, in which the tilt is reduced. A preview of the corrected image is provided for display within the viewfinder. The corrected image is provided for storage or further processing.