Abstract: Systems and methods allow users to query a software-application-based knowledge base to retrieve information. The user creates queries and the specified information is returned through a user interface. In alternative embodiments, the system is able to create follow-up queries independent from or directed by the user. Such embodiments may also provide critical information related to the original query. The knowledge base contains information about the application and is able to provide the appropriate answer to user queries through machine-learning-based tools, such as large language models (LLMs) or other natural language processing (NLP) based techniques.

Abstract: An illustrative embodiment includes a method for analyzing unstructured multidimensional data with a neural network. The method includes designing the neural network at least in part by defining differential operators conforming with dimensions of the data. The method also includes performing forward propagation at a given convolution layer of the neural network at least in part by: obtaining one or more convolved values at least in part by performing convolution over an object within the data, processing respective convolved values to obtain output, and updating the object based at least in part on the output.

Abstract: An illustrative embodiment includes a method for analyzing unstructured multidimensional data with a neural network. The method includes designing the neural network at least in part by defining differential operators conforming with dimensions of the data. The method also includes performing forward propagation at a given convolution layer of the neural network at least in part by: obtaining one or more convolved values at least in part by performing convolution over an object within the data, processing respective convolved values to obtain output, and updating the object based at least in part on the output.