Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: A substrate structure includes at least one detachable first substrate unit and a substrate body. The detachable first substrate unit includes a plurality of corners and a plurality of first engagement portions. Each of the first engagement portions is disposed at each of the corners of the detachable first substrate unit. The substrate body includes a plurality of second substrate units, at least one opening and a plurality of second engagement portions. The opening is substantially defined by a plurality of sidewalls of the second substrate units, and includes a plurality of corners. Each of the second engagement portions is disposed at each of the corners of the opening. The detachable first substrate unit is disposed in the opening, and the second engagement portions are engaged with the first engagement portions.

Abstract: An disclosed method includes receiving, from receivers, TOA data associated with location tag transmissions; determining a first set of the receivers based on the received TOA data; calculating a first tag location estimate for the first set of the receivers by applying a minimizing function to a first set of the TOA data corresponding to the first set of the receivers; determining a first data quality indicator (DQI) for the first tag location estimate; and when the first DQI for the first tag location estimate does not meet a threshold: determining, for the first set of the TOA data, impacts of respective delays on the minimizing function; determining, based on the impacts of the respective delays on the minimizing function, a second set the receivers different from the first set of the receivers; and calculating a second tag location estimate for the second set of the receivers.

Abstract: An additive manufacturing (AM) system and method configured to fabricate a 3D printed object from a liquid photocurable composition is provided. The AM system comprises a gas sphere assembly and an AM assembly. The gas sphere assembly comprises a prep chamber and a generation system having a generation chamber including a gas sphere generation unit, a jet source chamber including a sphere unit, and a gas chamber, a reservoir, and a gas cylinder. When a gas is fed to the gas chamber and the liquid photocurable composition is fed to the jet source chamber and generation chamber, the gas is pushed through a plurality of first openings of the sphere unit, and then a plurality of micro-openings of the gas sphere generation unit, to generate the plurality of closed-packed gas spheres. The plurality of closed-packed gas spheres are employed in the AM system for fabrication of the 3D printed object.

Abstract: Software that generates an answer to an input question using a source document by performing the following operations: (i) receiving a question; (ii) generating a plurality of vectors including a first vector representation of a term in the question and a second vector representation of a term in a source document; (iii) providing each dimension of each of the first vector representation and the second vector representation into a respective input node of an artificial neural network; (iv) determining whether the source document is relevant to answering the question based, at least in part, on an output generated by the artificial neural network; and (v) in response to determining that the source document is relevant, generating an answer to the question utilizing the source document.

Abstract: A push type exhaust cover, includes: a first cover body, configured with at least one through hole; and a second cover body, one side thereof in combination with one side of the through hole, a curved line configured between the second cover body and the through hole, a periphery of the second cover body in combination with a periphery of the through hole with a dotted broken line, an engagement portion projected from a top surface of the second cover body, pressing the engagement portion down causing the dotted broken line of the second cover body to be broken to fall into the through hole, allowing a top end of the engagement portion to press against another side of the through hole to make the through hole to be in communication with the outside so as to achieve an exhaust effect.

Abstract: An architecture and processes enable computer learning and developing an understanding of arbitrary natural language text through collaboration with humans in the context of joint problem solving. The architecture ingests the text and then syntactically and semantically processes the text to infer an initial understanding of the text. The initial understanding is captured in a story model of semantic and frame structures. The story model is then tested through computer generated questions that are posed to humans through interactive dialog sessions. The knowledge gleaned from the humans is used to update the story model as well as the computing system's current world model of understanding. The process is repeated for multiple stories over time, enabling the computing system to grow in knowledge and thereby understand stories of increasingly higher reading comprehension levels.

Abstract: Technical solutions are described for facilitating an electric power steering (EPS) system for providing a motor torque assist command. An example EPS system includes a first module configured to generate a regulation signal or a tuning signal based on a mode of operation of the EPS system. The EPS system further includes a second module configured to generate a stability signal irrespective of the mode of operation of the EPS system. The EPS system further includes a blending module configured to combine the stability signal with either the regulation signal or the tuning signal to generate an assist motor torque signal for the EPS system.

Abstract: Systems and processes for thermoforming an article are disclosed. The system can include a first heating station that can include a first heating zone and a second heating zone. The system can further include a first cooling station for reducing the temperature of the heated article to a range of about 50° C. to about 70° C. while exposing the article to atmospheric pressure. The system can also include a second cooling station that can expose an article to a pressure above atmospheric pressure.

Abstract: The disclosure provides an anti-lock brake device including an oil pressure tank, a first piston and a second piston. The oil pressure tank has an internal space, an oil inlet and an oil outlet that are connected to one another. The first piston is slidably located in the internal space, and has a first oil channel penetrating a contact portion of the first piston and connected to the oil inlet. The second piston is slidably located in the internal space and includes a push portion, and an outer diameter of the push portion is smaller than that of the contact portion. When the second piston is in a closed position, a chamber having a first unoccupied volume is formed in the internal space. When the second piston is moved from the closed position to a depressurized position, the first volume of the chamber is increased to a second volume.

Abstract: The present disclosure provides an automatic push corer system including a base, a power group, a Geneva transmission group, an intermittent transmission group, a vertical coring transmission group, a clamp group and a coring group. The power group is used to drive the Geneva transmission group. The Geneva transmission group is configured to perform a first intermittent rotary motion. The intermittent transmission group is configured to perform a second intermittent rotary motion. The vertical coring transmission group is configured to cooperate with the second intermittent rotary motion to perform a third intermittent rotary motion. The clamp group is configured to cooperate with the third intermittent rotary motion to perform a lifting reciprocation. The coring group is configured to cooperate with the first intermittent rotary motion and the lifting reciprocation to respectively complete a coring operation and a tubing replacing operation.

Abstract: Provided are a temperature sensor and an active phase-shifted grating-based temperature sensing system, relating to a fiber sensing technical field. The temperature sensor comprises a pump laser, a wavelength division multiplexer, an optical detector and an active phase-shifted fiber grating with ? phase shift. Pump light emitted by the pump laser enters the active phase-shifted fiber grating through the wavelength division multiplexer. The active phase-shifted fiber grating absorbs the pump light and emits laser light, which travels back through the wavelength division multiplexer and enters the optical detector. The optical detector measures output power of the active phase-shifted fiber grating, to analyze the power to obtain ambient temperature of the active phase-shifted fiber grating.

Abstract: Software that compares vector representations of question terms and passage terms in question answering systems by performing the following steps: (i) receiving a question; (ii) generating a plurality of vectors including a first vector representation of a term in the question and a second vector representation of a term in a set of natural language text; (iii) generating a similarity score representing an amount of similarity between the first vector representation and the second vector representation; and (iv) determining whether the set of natural language text is relevant to the question based, at least in part, on the generated similarity score.

Abstract: Software that compares vector representations of question terms and passage terms in question answering systems by performing the following steps: (i) receiving a question; (ii) generating a plurality of vectors including a first vector representation of a term in the question and a second vector representation of a term in a set of natural language text; (iii) generating a similarity score representing an amount of similarity between the first vector representation and the second vector representation; and (iv) determining whether the set of natural language text is relevant to the question based, at least in part, on the generated similarity score.