Abstract: This disclosure relates generally to metasurface beam steering antenna and method of setting antenna beam angle. Conventional approaches perform electronically beam steering using phase array which requires bandwidth with higher data rates. The present disclosure enables metasurface antennas tilt antenna beam in a given direction, where the varactor diodes are operated in reverse bias so that different values of capacitors combination lead to electronic beam scanning. The processor of the metasurface beam steering antenna receives a command having an input angle to tilt the angle beam position. The processor processes the command by mapping the input angle with the set of c-shaped copper patch combination having the capacitor values using a predefined lookup table for setting the antenna beam angle based on a reference voltage generated by the varactor diode. The lookup table is iteratively updated with the capacitor values of the c-shaped copper patches.

Abstract: A method for anomaly detection comprising receiving data parameters defining a first query; retrieving a first dataset corresponding to the data parameters; receiving second data parameters defining a second query linked to the first query; selecting a predefined filter; retrieving a second dataset based on the first dataset, the predefined filter, and the second data parameters; analyzing, using a machine learning model trained in real-time, the second dataset to detect anomalies; selecting anomaly parameters corresponding to the anomalies; filtering an output of the machine learning model according to the anomaly parameters; generating instructions for identifying anomalous items based on the data parameters, the predefined filter, the second data parameters, the anomaly parameters, and detection pattern parameters; executing the set of instructions for identifying anomalous items to identify anomalous items in real-time within the second dataset; and transmitting information about the anomalous items to a

Abstract: Systems and methods for producing domain-specific data for training generative AI models as described herein systematically acquire, validate, and fine-tune AI models using domain-specific data. In embodiments, this comprises identifying seed documents, extracting keywords, performing refined searches, and scraping relevant content. The data is then pre-processed, chunked, and indexed. Using a retrieval-augmented generation approach, the system evaluates the quality and relevance of the data, ensuring efficient computational resource use and improved model training outcomes. By leveraging expert knowledge and systematic data validation, the accuracy and reliability of domain-specific AI models is enhanced.

Abstract: Systems and methods may utilize a system configurator to populate an information template associated with a data warehouse (DWH) to generate standardized context information. A DWH query code generator, may use an embedding model to obtain an embedded user question, perform a first similarity matching process to match the embedded user question with a standard question template, extract parameters from the user question to populate the standard question template, populate the standard question template with the extracted parameters to generate a final question, and provide the final question and the standardized context information to a generative AI model that converts the final question into a query code. A visualization code generator may then obtain data related to the user question, perform a second similarity matching process to match the embedded user question with a visualization script, and apply the visualization script to the data to generate a visualization.

Abstract: Systems and methods for constructing an equipment troubleshooting tree involve receiving an unstructured text source and using a parsing tool to segment it into sections that are associated with equipment components, units, or processes. If the parsing tool fails, a pre-trained language model is used to identify the sections using the extracted listing as content. Metadata, including section-specific text and page ranges, are obtained for each section. A non-static process enhances similarity matching, resulting in segmented data. An indexing process embeds this data, along with the metadata, into index nodes to improve retrieval efficiency. The pre-trained language model generates a catalog of false, causes, or repair recommendations, which are structured as index notes in the troubleshooting tree. In response to a user query, the constructed troubleshooting tree is generated and output after a grounding process cross-references it with the unstructured text to ensure accuracy.

Abstract: Artificial intelligence (AI) model-based travel time estimation is described herein. For example, a computer system receives a request of an application for a travel time between a first location and a second location. The computer system determines a travel path between the first location and the second location. The travel path includes a travel segment. The computer system determines data indicating a geographic feature of the travel segment. The computer system generates, based on the data indicating the geographic feature, an input to an AI model. The AI model is trained to predict travel times. The computer system determines the travel time based on an output of the AI model in response to the input. The output indicates the travel time. The computer system sends a response indicating the travel time to the application.

Abstract: The disclosure provides a system and method for real time optical illusion photography. The method may include: receiving an input image, detecting one or more objects of interest in the input image, dissociating a foreground region and a background region from the input image, extracting a plurality of features extracted from the foreground and the background region of the image in three-dimensional format, generating a three-dimensional feature map, predicting the plurality of features from the feature map of the image, classifying the predicted plurality of features into one or more illusions which are applicable on the input image based on prediction table, determining at least one foremost illusion, out of all possible applicable illusions, and applying real time illusion effects on the input image based on the determined foremost illusion.

Abstract: A cryptography agent is implemented to serve as an intermediary for a client application executing on an unsecured portion of a machine to bring greater hardware-based security to the client application. The cryptography agent does so by generating a public/private key pair for the client application and sealing the key pair inside an enclave that resides on a secured portion of the machine. The cryptography agent fetches confidential information for the client application from a secure server, where the confidential information is encrypted using the public key. The cryptography agent seals the confidential information using seal keys that are directly fused into hardware of the machine on which the enclave resides, which prevents the client application from accessing the confidential information in plaintext form. The client application sends commands to the cryptography agent, which performs operations within the enclave according to the commands once the client application is validated.

Abstract: A system and method for performing structural topology optimization for a structure is provided. The method includes receiving from a client device, by a processing unit, an input indicative of one or more load vectors at one or more nodes in a design space corresponding to the structure. Further, a data-driven model is applied to the input for predicting a suboptimal topology for the structure. Based on the suboptimal topology predicted, an optimization solver is initialized. Further, one or more design variables corresponding to an optimal topology for the structure are computed using the initialized optimization solver. An output indicative of the optimal topology is provided on a user interface of the client device.

Abstract: A cryptography agent is implemented to serve as an intermediary for a client application executing on an unsecured portion of a machine to bring greater hardware-based security to the client application. The cryptography agent does so by generating a public/private key pair for the client application and sealing the key pair inside an enclave that resides on a secured portion of the machine. The cryptography agent fetches confidential information for the client application from a secure server, where the confidential information is encrypted using the public key. The cryptography agent seals the confidential information using seal keys that are directly fused into hardware of the machine on which the enclave resides, which prevents the client application from accessing the confidential information in plaintext form. The client application sends commands to the cryptography agent, which performs operations within the enclave according to the commands once the client application is validated.

Abstract: This disclosure relates generally to Millimeter Wave (MMW) frequency antenna scanning system. Conventional approaches available for scanning an antenna beam over a large angular swath with high directivity are unable to address concerns of size and cost involved. The technical problem of providing an MMW frequency antenna scanning system using a single small size antenna capable of scanning as desired at a desired precision is addressed in the present disclosure. The antenna scanning system provided is an electromechanical system that makes the system cost effective. Computer control provides precision control in beam steering from remote. Use of a metasurface and configuration of a radiating patch and a shorting pin in a microstrip antenna addresses the concern with regards to the size of the antenna scanning system.

Abstract: This disclosure relates generally to metasurface beam steering antenna and method of setting antenna beam angle. Conventional approaches perform electronically beam steering using phase array which requires bandwidth with higher data rates. The present disclosure enables metasurface antennas tilt antenna beam in a given direction, where the varactor diodes are operated in reverse bias so that different values of capacitors combination lead to electronic beam scanning. The processor of the metasurface beam steering antenna receives a command having an input angle to tilt the angle beam position. The processor processes the command by mapping the input angle with the set of c-shaped copper patch combination having the capacitor values using a predefined lookup table for setting the antenna beam angle based on a reference voltage generated by the varactor diode. The lookup table is iteratively updated with the capacitor values of the c-shaped copper patches.

Abstract: A cryptography agent is implemented to serve as an intermediary for a client application executing on an unsecured portion of a machine to bring greater hardware-based security to the client application. The cryptography agent does so by generating a public/private key pair for the client application and sealing the key pair inside an enclave that resides on a secured portion of the machine. The cryptography agent fetches confidential information for the client application from a secure server, where the confidential information is encrypted using the public key. The cryptography agent seals the confidential information using seal keys that are directly fused into hardware of the machine on which the enclave resides, which prevents the client application from accessing the confidential information in plaintext form. The client application sends commands to the cryptography agent, which performs operations within the enclave according to the commands once the client application is validated.

Abstract: This disclosure relates generally to Millimeter Wave (MMW) frequency antenna scanning system. Conventional approaches available for scanning an antenna beam over a large angular swath with high directivity are unable to address concerns of size and cost involved. The technical problem of providing an MMW frequency antenna scanning system using a single small size antenna capable of scanning as desired at a desired precision is addressed in the present disclosure. The antenna scanning system provided is an electromechanical system that makes the system cost effective. Computer control provides precision control in beam steering from remote. Use of a metasurface and configuration of a radiating patch and a shorting pin in a microstrip antenna addresses the concern with regards to the size of the antenna scanning system.

Abstract: Embodiments for authenticating a source of website content utilizing computer-generated or anonymized digital deoxyribonucleic acid (DNA) sequences include: receiving a request for a security sequence from a user device during a browser session; sending a first-generation digital DNA sequence (F1) to the device, wherein the F1 is generated from first and second DNA sequences (P1) and (P2) associated with a website; receiving a request for a second security sequence; generating a second-generation DNA sequence (F2) based on the F1 and the P1, wherein the F2 includes at least one genetic marker of the F1 and/or the P1; sending the F2 to the user device; receiving a request for security confirmation from the device; determining whether the F2 is a child DNA sequence of the F1 and/or the P1 utilizing Marker Assisted Selection techniques; and sending a response to the device indicating whether website content originates from the website.

Abstract: Embodiments for authenticating a source of website content utilizing computer-generated or anonymized digital deoxyribonucleic acid (DNA) sequences include: receiving a request for a security sequence from a user device during a browser session; sending a first-generation digital DNA sequence (F1) to the device, wherein the F1 is generated from first and second DNA sequences (P1) and (P2) associated with a website; receiving a request for a second security sequence; generating a second-generation DNA sequence (F2) based on the F1 and the P1, wherein the F2 includes at least one genetic marker of the F1 and/or the P1; sending the F2 to the user device; receiving a request for security confirmation from the device; determining whether the F2 is a child DNA sequence of the F1 and/or the P1 utilizing Marker Assisted Selection techniques; and sending a response to the device indicating whether website content originates from the website.