Abstract: A method is provided. The method includes determining a trajectory based on movement data from an accelerometer of a client device. In response to the trajectory being within configured limits, the method includes one or more of incorporating the trajectory into one or more facts, each fact including an entity, an observation, and an object, comparing the one or more facts to historical data, and determining one or more closest matches between the one or more facts and the historical data.

Abstract: A multi-sample differential scanning calorimeter (DSC) allows for the processing samples concurrently for high-throughput sample processing. The multi-sample DSC includes a test chamber; a sample cartridge located inside the test chamber, in which the sample cartridge comprises a plurality of sample wells arranged at a periphery of the sample cartridge; a plurality of temperature sensors, in which each temperature sensor measures a respective temperature of a respective sample well; and a processor configured to selectively determine a difference in temperature between any two or more sample wells of the plurality of sample wells.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, each fact including an entity, an observation, and an object, performing one or more directed searches, each for obtaining one or more entities, observations, or objects not present in the client device data, incorporating the entities, the observations, and the objects from the one or more directed searches into the plurality of facts, comparing the plurality of facts to categorized historical data, and determining one or more closest matches between the plurality of facts and the categorized historical data.

Abstract: A system for automating information technology software actions using advanced AI techniques including a processing system, storage medium, a communications interface, a user interface, a natural language processing model or neural network, operable to interface with at least one of an embedded prompt or chatbot prompt and hosted on a control node which communicates with one or more nodes comprised by a node network via the communications interface, and program instructions on storage medium that direct the processing system to receive an instruction from the user interface, process the instruction using the one or more natural language processing model or neural network, along with one or more AI agents, and execute the instruction one of locally or on a node of the node network via the communications interface.

Abstract: A multi-sample differential scanning calorimeter (DSC) allows for the processing samples concurrently for high-throughput sample processing. The multi-sample DSC includes a test chamber; a sample cartridge located inside the test chamber, in which the sample cartridge comprises a plurality of sample wells arranged at a periphery of the sample cartridge; a plurality of temperature sensors, in which each temperature sensor measures a respective temperature of a respective sample well; and a processor configured to selectively determine a difference in temperature between any two or more sample wells of the plurality of sample wells.

Abstract: A multi-sample differential scanning calorimeter (DSC) allows for the processing samples concurrently for high-throughput sample processing. The multi-sample DSC includes a test chamber; a sample cartridge located inside the test chamber, in which the sample cartridge comprises a plurality of sample wells arranged at a periphery of the sample cartridge; a plurality of temperature sensors, in which each temperature sensor measures a respective temperature of a respective sample well; and a processor configured to selectively determine a difference in temperature between any two or more sample wells of the plurality of sample wells.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, each fact including an entity, an observation, and an object, performing one or more directed searches, each for obtaining one or more entities, observations, or objects not present in the client device data, incorporating the entities, the observations, and the objects from the one or more directed searches into the plurality of facts, comparing the plurality of facts to categorized historical data, and determining one or more closest matches between the plurality of facts and the categorized historical data.

Abstract: Systems, techniques, and apparatuses are described for displaying digital media packages on mobile vehicles, including manned and unmanned autonomous ground and air vehicles. Apparatuses describe media display and mounting modalities in a variety of form factors, as well as component configurations for audience detection using sensor arrays. Systems and techniques describe mechanisms for selecting and displaying media packages aligned with the dynamic environmental, temporal, and geolocation conditions of client media display apparatuses.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing, using a neural network, the limited client device data to categorized historical data, determining, using the neural network, one or more closest matches between the limited client device data and the categorized historical data, and selecting, on the client device, content of interest from the one or more closest matches. Each fact includes an entity, an observation, and an object. Limiting the client device data includes reviewing the entity, observation, and object for each fact and one or more of eliminating facts having an entity, observation, or object that does not meet the selection criteria and removing data from entities, observations, or objects that uniquely identifies a user associated with the client device.

Abstract: A system and method for assigning a monetary cost for digital media display sessions through a pay-per-inferred-view charging model, including non-transitory computer-readable storage media, a processing system, and a media display system. The media display system comprises a neural network, an interface system, including a communications interface. The interface system communicates with the media display system and program instructions stored on the computer-readable storage media that, when executed by the processing system, direct the processing system in response to receiving, via the communications interface, media display session data from the media display system. The media display session data includes audience viewership information to determine composite audience viewership scores from the audience entity quality rating for each unique audience entity and compute a session cost for the media display session.

Abstract: A system for providing audience estimation for digital media display sessions displayed on a mobile vehicle, including storage media, a processing system, an interface system including a communications interface, one or more neural networks, and program instructions that the processing system to receive object sensor data, apply an entity classifier thereto to determine a type of each unique audience entity, determine a presence duration of the entity during the digital media display session, and transmit each unique audience entity to an online dashboard.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing, using a neural network, the limited client device data to categorized historical data, determining, using the neural network, one or more closest matches between the limited client device data and the categorized historical data, and selecting, on the client device, content of interest from the one or more closest matches. Each fact includes an entity, an observation, and an object. Limiting the client device data includes reviewing the entity, observation, and object for each fact and one or more of eliminating facts having an entity, observation, or object that does not meet the selection criteria and removing data from entities, observations, or objects that uniquely identifies a user associated with the client device.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing the limited client device data to categorized historical data, determining one or more closest matches between the limited client device data and the categorized historical data, selecting, on the client device, content of interest from the one or more closest matches, and incorporating the content of interest into the categorized historical data. Each fact includes an entity, an observation, and an object.

Abstract: A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing the limited client device data to categorized historical data, determining one or more closest matches between the limited client device data and the categorized historical data, selecting, on the client device, content of interest from the one or more closest matches, and incorporating the content of interest into the categorized historical data. Each fact includes an entity, an observation, and an object.

Abstract: A system for providing audience estimation for digital media display sessions displayed on a mobile vehicle, including storage media, a processing system, an interface system including a communications interface, one or more neural networks, and program instructions that the processing system to receive object sensor data, apply an entity classifier thereto to determine a type of each unique audience entity, determine a presence duration of the entity during the digital media display session, and transmit each unique audience entity to an online dashboard.

Abstract: Systems, techniques, and apparatuses are described for displaying digital media packages on mobile vehicles, including manned and unmanned autonomous ground and air vehicles. Apparatuses describe media display and mounting modalities in a variety of form factors, as well as component configurations for audience detection using sensor arrays. Systems and techniques describe mechanisms for selecting and displaying media packages aligned with the dynamic environmental, temporal, and geolocation conditions of client media display apparatuses.

Abstract: A compression spring assembly can include a compression spring core and a compression spring shell that can be assembled onto the compression spring core. The compression spring core can include a core body with an outer core wall. The compression spring shell can include a shell body having an inner shell wall. The compression spring shell can be supported on the compression spring core such that the inner shell wall extends along at least a portion of the outer core wall. A method of manufacturing a compression spring assembly is also included.

Abstract: A compression spring assembly can include a compression spring core and a compression spring shell that can be assembled onto the compression spring core. The compression spring core can include a core body with an outer core wall. The compression spring shell can include a shell body having an inner shell wall. The compression spring shell can be supported on the compression spring core such that the inner shell wall extends along at least a portion of the outer core wall. A method of manufacturing a compression spring assembly is also included.

Abstract: The present invention provides a system and method for re-ordering the results from an information search, such as an Internet search in order to maximize the likelihood that the user will see a result they want in the first page or two of large or very large results lists. The results of the information search are examined for a wide variety of factors that could be considered to create diversity among the results a user is most likely to see. A subset of results are selected, with some results from each categorized group, for presentation to the user. The user is presented with a diverse set of search results so that the desired information may be located and/or the search narrowed more efficiently. This is easily extended to include any process which can benefit from receiving results from an information search where the receiving process benefits from having a high degree of variation occur among the first subset of results returned.