Abstract: A method for facilitating automated model evaluation based on question perturbations is disclosed. The method includes receiving, via an application programming interface, inputs that include an inquiry in a natural language format; generating, via a rephrasing model, questions based on the inquiry, each of the questions corresponding to a lexical variant of the inquiry; determine, via response models, an initial response for each of the questions and the inquiry; clustering the initial response for each of the questions and the inquiry into blocks based on shared characteristics; and computing metrics for each of the blocks.

Abstract: Methods of assessing features on a skin surface of a patient, and associated systems and devices, are disclosed herein. In one embodiment, a method of assessing a feature on a patient's skin surface includes capturing (i) an image of the patient's skin surface with a camera of a portable capture device and (ii) range information with an auxiliary range measurement device that is attached to the portable capture device. Based on the range information, a single range value can be determined between the capture device and the patient's skin surface. In some embodiments, a scale can be associated with the image based on the single range value.

Abstract: A method for using a large language model to perform complex table question-answering tasks while preserving data security and privacy with respect to the underlying data included in a table is provided. The method includes: receiving a user query that relates to a table; generating, based on the user query, a prompt that includes a role, at least one instruction, schema, and a question; transmitting the prompt to an external processor that does not have access to the underlying data included in the table; receiving, from the external processor, a set of executable code which has been generated by the external processor in response to the prompt and which is applicable to the table; generating an answer to the user query by executing the set of executable code; and transmitting, to the user, the answer to the user query.

Abstract: A method for providing a domain-specific language model to facilitate natural language data analytics is disclosed. The method includes aggregating documents from various sources, each of the documents including natural language data; ingesting each of the documents to generate structured data sets that are organized according to a contextual hierarchy; determining prompts that provide domain-specific information for a language model, the domain-specific information including instructions to access the structured data sets; receiving a request via a graphical user interface, the request relating to questions in a natural language format; generating, by using the language model, software codes for the request based on the prompts; and executing each of the software codes to identify results for the request from the structured data sets.

Abstract: Methods for assessing a skin surface of a patient and associated systems and devices are described herein. A method configured in accordance with embodiments of the present technology can include, for example, receiving a three-dimensional data set representative of the patient's skin surface and determining a boundary of a feature of the patient's skin in the three-dimensional data set. The method can further include determining, with a processor, a three-dimensional surface area of the feature within the boundary. In some embodiments, the method can also include identifying a plurality of sub-regions within the boundary and identifying one or more tissue types in each sub-region.

Abstract: A method for using an artificial intelligence (AI) technique to forecast trading behavior and thematic concepts for trade baskets with respect to derivatives and other specific types of financial instruments is provided. The method includes: retrieving, from an internet website, information that relates to at least one form that corresponds to a government filing; using the retrieved information to generate a knowledge graph that relates to a particular entity; generating at least one application programming interface (API) that is configured to analyze the retrieved information and the knowledge graph in order to provide insight into at least one financial instrument that relates to the particular entity; and forecasting, based on an output of the API(s) and by applying an AI algorithm to the knowledge graph, at least one proposed future transaction to be executed with respect to the financial instrument(s) that relate to the particular entity.

Abstract: A method for using an artificial intelligence (AI) technique to forecast market activities by specific parties with respect to derivatives and other specific types of financial instruments is provided. The method includes: retrieving first information that relates to at least one form that corresponds to a government filing; generating, based on the first information, a first knowledge graph that relates to an entity, such as a commercial concern; retrieving second information that relates to historical actions performed by at least one person that is associated with the entity; and forecasting, based on the first knowledge graph and the second information, at least one proposed future transaction to be executed by the person with respect to the first entity. The forecasting is based on an application of an AI algorithm to the information retrieved from the government filing(s).

Abstract: A method of assessing a feature on a patient's skin surface includes capturing (i) an image of the patient's skin surface with a camera of a portable capture device and (ii) range information with an auxiliary range measurement device that is attached to the portable capture device. Based on the range information, a single range value can be determined between the capture device and the patient's skin surface. In some embodiments, a scale can be associated with the image based on the single range value.

Abstract: A method for time-series forecasting for time-series data with a periodic behavior larger than a respective sampling rate is disclosed. The method includes selecting candidate time lag values from measured time-series data, determining first training data based on time-series data and the candidate time lag values, and training of a first machine-learning system, thereby determining a subset of the set of the first training data. The method further includes building second training data, training of a second machine-learning system for time-series predictions when using measured sampled time-series data as input. A first performance indicator value is indicative of a prediction performance of the first time-series machine-learning model. The method further includes determining that an element of the set of second training data is significant for the training of the first time-series machine-learning model and determining that the set of second training data is complete.

Abstract: A method for using a large language model to generate executable code for workflow execution in a manner that integrates user feedback and adjusts the workflow as needed while preserving data privacy is provided. The method includes: receiving first information that relates to a workflow context, second information that relates to at least one application programming interface (API), and third information that relates to a code generation request; using the received information to generate a lecture, and transmitting the lecture to a language model; receiving a user query that relates to performing a task, and transmitting the query to the language model; receiving a workflow that is automatically generated by the language model based on the lecture and the query; and executing the workflow in order to generate an output that is responsive to the query.

Abstract: A method for providing a domain-specific language model to facilitate natural language data analytics is disclosed. The method includes aggregating documents from various sources, each of the documents including natural language data; ingesting each of the documents to generate structured data sets that are organized according to a contextual hierarchy; determining prompts that provide domain-specific information for a language model, the domain-specific information including instructions to access the structured data sets; receiving a request via a graphical user interface, the request relating to questions in a natural language format; generating, by using the language model, software codes for the request based on the prompts; and executing each of the software codes to identify results for the request from the structured data sets.

Abstract: A method for using a large language model (LLM) to generate executable code in a manner that preserves privacy and confidentiality of proprietary data is provided. The method includes: receiving information that relates to a summarization of a data table; defining a set of rules for facilitating a generation of executable code by an LLM; receiving an inquiry from a user; inputting each of the summarization information, the set of rules, and the inquiry into the LLM; receiving, in response to the input, a set of executable code that is generated by the LLM; and executing the set of executable code in order to generate an output. The summarization information may be received from an external source that has access to proprietary data included in the data table, and the summarization information may be structured so as to preserve a privacy of the proprietary data.

Abstract: A method and a system for methods and systems for using artificial intelligence techniques to generate insights from public data for potential commercial exploitation in a speedy, large-scale, and sophisticated manner are provided. The method includes: receiving a first document that includes first information that has been submitted for compliance with at least one governmental regulation and is publicly available; extracting the first information from the first document; analyzing the extracted first information by applying an artificial intelligence (AI) algorithm that implements a machine learning technique; and generating at least one insight based on a result of the analysis.

Abstract: Methods for assessing a skin surface of a patient and associated systems and devices are described herein. A method configured in accordance with embodiments of the present technology can include, for example, receiving a three-dimensional data set representative of the patient's skin surface and determining a boundary of a feature of the patient's skin in the three-dimensional data set. The method can further include determining, with a processor, a three-dimensional surface area of the feature within the boundary. In some embodiments, the method can also include identifying a plurality of sub-regions within the boundary and identifying one or more tissue types in each sub-region.

Abstract: A method and a system for preparing a response to a subpoena by using an automated subpoena processing and handling model is provided. The method includes: receiving a first subpoena; extracting a set of informational requests from the first subpoena; retrieving a data set from a memory; analyzing the first data set with respect to the set of informational requests in order to identify items from within the data set that are responsive to items included within the set of informational requests; and generating a report that includes a result of the analysis. The analysis is performed by providing the first subpoena as an input to a Robustly optimized Bidirectional Encoder Representations from Transformers pre-training approach (RoBERTa) model that uses a sub-word approach to modeling words in a sequential format.

Abstract: An ink cartridge receiving module having a plurality of receiving spaces (14) for receiving a plurality of ink cartridges (20), each receiving space (14) having a bottom surface (22) which is inclined at an angle between 10° and 45° with respect to a horizontal plane, each receiving space (14) further having a connector (30) adapted for removing ink from the respective cartridge (20), the connectors (30) being arranged at the lower side of the receiving spaces (14).

Abstract: Methods for assessing a skin surface of a patient and associated systems and devices are described herein. A method configured in accordance with embodiments of the present technology can include, for example, receiving a three-dimensional data set representative of the patient's skin surface and determining a boundary of a feature of the patient's skin in the three-dimensional data set. The method can further include determining, with a processor, a three-dimensional surface area of the feature within the boundary. In some embodiments, the method can also include identifying a plurality of sub-regions within the boundary and identifying one or more tissue types in each sub-region.

Abstract: An accessory mounting system can be operable to mount an accessory to a device. The accessory mounting system can include an accessory mount and an accessory holder. The accessory mount can include a mount body having a first end, a second end, and an inner section disposed between the first and second ends. The accessory mount can further include a first device interface disposed at the first end and configured to interface with the device and a second device interface disposed at the second end and configured to interface with the device. The accessory mount has at least one mounting point disposed on the inner section of the mount body. The accessory holder can include an interface operable to selectively attach to and detach from the mounting point of the accessory mount. The accessory holder can receive and support an accessory.

Abstract: A cyber security system includes a plurality of event sensors to detect events, a plurality of inference servers, and a server in communication with the plurality of inference servers. Each inference server of the plurality is in communication with a subset of event sensors of the plurality of event sensors. Each inference server has a portion of an event lattice and is to compare the event detected by the subset of event sensors to the event lattice. Each inference server is to identify an originator having a behavior pattern indicative of an attack and communicating an identifier associated with the originator. The server is to provide an interface indicating the behavior pattern indicative of an attack and the identifier of the originator.