Abstract: A system that provides a sharable language interface for implementing automated assistants in new domains and applications. A dialogue assistant that is trained in a first domain can receive a specification in a second domain. The specification can include language structure data such as schemas, recognizers, resolvers, constraints and invariants, actions, language hints, generation template, and other data. The specification data is applied to the automated assistant to enable the automated assistant to provide interactive dialogue with a user in a second domain associated with the received specification. In some instances, portions of the specification may be automatically mapped to portions of the first domain. By having the ability to learn new domains and applications through receipt of objects and properties rather than retooling the interface entirely, the present system is much more efficient at learning how to provide interactive dialogue in new domains than previous systems.

Abstract: A method of extending a conversational computing interface. The method comprises executing a nonnative skill implemented in a nonnative programming language of the conversational computing interface. The method further comprises automatically computer-tracing computer operations performed by the nonnative skill during such execution. The method further comprises automatically computer-generating a native computer-executable plan representing the traced computer operations in a native programming language of the conversational computing interface.

Abstract: A method, comprising recognizing a user utterance for processing. The method further comprises using a previously-trained code-generation machine to generate, from the user utterance, a data-flow program configured to produce a return value upon successful execution. The method further comprises beginning execution of the data-flow program. Responsive to reaching an error condition resulting from execution of the data-flow program, the method further comprises, prior to the data-flow program producing the return value, suspending execution of the data flow program. The method further comprises using the previously-trained code-generation machine to generate an error-handling data-flow program, wherein the error-handling data-flow program is configured to produce the return value; beginning execution of the error-handling data-flow program to produce the return value; and outputting the return value.

Abstract: A method comprising recognizing a user utterance including an ambiguity. The method further comprises using a previously-trained code-generation machine to produce, from the user utterance, a data-flow program including a search-history function. The search-history function is configured to select a highest-confidence disambiguating concept from one or more candidate concepts stored in a context-specific dialogue history.

Abstract: In one aspect, a light module is disclosed, which includes a housing providing a hollow chamber extending from a proximal end to a distal end, and a lens positioned in the hollow chamber, where the lens has a lens body comprising an input surface for receiving light from a light source and an output surface through which light exits the lens body, said lens further comprising a collar at least partially encircling said lens body. The light module further includes at least one shoulder on which the lens collar can be seated for positioning the lens within the housing. A light source, e.g., an LED, is coupled to the hollow chamber, e.g., at its proximal end, for providing light to the lens.

Abstract: A method includes receiving an utterance at a computerized automated assistant system, and detecting, via a date/time constraint module of the computerized automated assistant system, one or more constraints in the utterance associated with a date or time. The utterance is associated with a domain. The method further comprises generating, via the date/time constraint module, a periodic set for each of the one or more constraints associated with the date or time, and combining, via the date/time constraint module, the one or more periodic sets. The method further comprises processing, via a dialogue manager module of the computerized automated assistant system, the combined periodic sets to determine an action, and executing the action at the computerized automated assistant system.

Abstract: A data collection system is based on a general set of dialogue acts which are derived from a database schema. Crowd workers perform two types of tasks: (i) identification of sensical dialogue paths and (ii) performing context-dependent paraphrasing of these dialogue paths into real dialogues. The end output of the system is a set of training examples of real dialogues which have been annotated with their logical forms. This data can be used to train all three components of the dialogue system: (i) the semantic parser for understanding context-dependent utterances, (ii) the dialogue policy for generating new dialogue acts given the current state, and (iii) the generation system for both deciding what to say and how to render it in natural language.

Abstract: The disclosure notably relates to a computer-implemented method for designing a three-dimensional (3D) finite element mesh of a 3D part that includes a lattice structure. The method includes superposing a regular tiling of cells with a solid representation of the 3D part, partitioning the cells into two groups, a first group of cells, each in contact with the solid representation, and a second group of cells, none in contact with the solid representation. The method also includes computing a Boolean union of the first group of cells and the solid representation, the Boolean union forming a volume, finite element meshing the volume of the computed Boolean union while preserving the set of faces of the first group of cells that are shared with the second group of cells, and merging the finite element meshes of the cells of the second group and the meshed volume of the computed Boolean union.

Abstract: In one aspect, a light module is disclosed, which includes a housing providing a hollow chamber extending from a proximal end to a distal end, and a lens positioned in the hollow chamber, where the lens has a lens body comprising an input surface for receiving light from a light source and an output surface through which light exits the lens body, said lens further comprising a collar at least partially encircling said lens body. The light module further includes at least one shoulder on which the lens collar can be seated for positioning the lens within the housing. A light source, e.g., an LED, is coupled to the hollow chamber, e.g., at its proximal end, for providing light to the lens. In some embodiments, an optical window is disposed in the hollow chamber and is optically coupled to the output surface of the lens such that the light exiting the lens passes through the optical window before exiting the light module. In some embodiments, the shoulder can be formed as part of the housing.

Abstract: In one aspect, a light module is disclosed, which includes a housing providing a hollow chamber extending from a proximal end to a distal end, and a lens positioned in the hollow chamber, where the lens has a lens body comprising an input surface for receiving light from a light source and an output surface through which light exits the lens body, said lens further comprising a collar at least partially encircling said lens body. The light module further includes at least one shoulder on which the lens collar can be seated for positioning the lens within the housing. A light source, e.g., an LED, is coupled to the hollow chamber, e.g., at its proximal end, for providing light to the lens.

Abstract: A method for a dialogue system includes establishing a dialogue session between an application executing on a server and a remote machine. The dialogue session includes one or more utterances received from a user at the remote machine. A natural language processing machine identifies a request associated with a computer-readable representation of an utterance. A dialogue expansion machine generates a plurality of alternative actions for responding to the request. A previously-trained machine learning confidence model assesses a confidence score for each alternative. If a highest confidence score for a top alternative does not satisfy a threshold, the plurality of alternatives including the top alternative are transmitted to a remote machine (which may be the same remote machine or a different remote machine) for review by a human reviewer. After the dialogue system and/or the human reviewer select an alternative, computer-readable instructions defining the selected alternative are executed.

Abstract: The disclosure notably relates to a computer-implemented method for designing a three-dimensional (3D) finite element mesh of a 3D part that comprises a lattice structure. The method includes superposing a regular tiling of cells with the solid representation of a 3D part, partitioning the cells into two groups, a first group of cells, each in contact with the solid representation of the 3D part, and a second group of cells, none in contact with the solid representation. The method also includes finite element meshing a boundary of the solid representation, extracting a boundary finite element mesh of the first group of cells, computing a Boolean union of the finite element mesh and the extracted boundary finite element mesh, finite element meshing a volume of the computed Boolean union and merging the finite element meshes of meshed volume of computed Boolean union and the cells of the second group of cells.

Abstract: A method for a dialogue system includes establishing a dialogue session between an application executing on a server and a remote machine. The dialogue session includes one or more utterances received from a user at the remote machine. A natural language processing machine identifies a request associated with a computer-readable representation of an utterance. A dialogue expansion machine generates a plurality of alternative actions for responding to the request. A previously-trained machine learning confidence model assesses a confidence score for each alternative. If a highest confidence score for a top alternative does not satisfy a threshold, the plurality of alternatives including the top alternative are transmitted to a remote machine (which may be the same remote machine or a different remote machine) for review by a human reviewer. After the dialogue system and/or the human reviewer select an alternative, computer-readable instructions defining the selected alternative are executed.

Abstract: A system that generates natural language content. The system generates and maintains a dialogue state representation having a process view, query view, and data view. The three-view dialogue state representation is continuously updated during discourse between an agent and a user, and rules can be automatically generated based on the discourse. Upon a content generation event, an object description can be generated based on the dialogue state representation. A string is then determined from the object description, using a hybrid approach of the automatically generated rules and other rules learned from annotation and other user input. The string is translated to text or speech and output by the agent. The present system also incorporates learning techniques, for example when ranking output and processing annotation templates.

Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.

Abstract: A conversational system receives an utterance, and a parser performs a parsing operation on the utterance, resulting in some words being parsed and some words not being parsed. For the words that are not parsed, words or phrases determined to be unimportant are ignored. The resulting unparsed words are processed to determine the likelihood they are important and whether they should be addressed by the automated assistant. For example, if a score associated with an important unparsed word achieves a particular threshold, then a course of action to take for the utterance may include providing a message that the portion of the utterance associated with the important unparsed word cannot be handled.

Abstract: In one aspect, a light module is disclosed, which includes a housing providing a hollow chamber extending from a proximal end to a distal end, and a lens positioned in the hollow chamber, where the lens has a lens body comprising an input surface for receiving light from a light source and an output surface through which light exits the lens body, said lens further comprising a collar at least partially encircling said lens body. The light module further includes at least one shoulder on which the lens collar can be seated for positioning the lens within the housing. A light source, e.g., an LED, is coupled to the hollow chamber, e.g., at its proximal end, for providing light to the lens.

Abstract: A system that allows non-engineers administrators, without programming, machine language, or artificial intelligence system knowledge, to expand the capabilities of a dialogue system. The dialogue system may have a knowledge system, user interface, and learning model. A user interface allows non-engineers to utilize the knowledge system, defined by a small set of primitives and a simple language, to annotate a user utterance. The annotation may include selecting actions to take based on the utterance and subsequent actions and configuring associations. A dialogue state is continuously updated and provided to the user as the actions and associations take place. Rules are generated based on the actions, associations and dialogue state that allows for computing a wide range of results.

Abstract: In one aspect, a handheld lighting system is disclosed, which comprises a handheld housing extending from a proximal end to a distal end, and a light module disposed at least partially in the housing. The handheld lighting system further includes a removable and replaceable power module that is coupled to the housing (e.g., it is at least partially disposed within the housing) and is electrically coupled to the light module, e.g., through a pair of electrical leads, for providing electrical power thereto. Light intensity from the light module may be controlled from a knob on the power module. Various adapters can allow the lighting system to attach to a multitude of medical, industrial, dental or veterinary endoscopes or other instruments.

Abstract: A method for configuring an automated dialogue system uses traces of interactions via a graphical user interface (GUI) for an application. Each trace includes interactions in the context of a plurality of presentations of the GUI. Elements of one or more presentations of the GUI are identified, and templates are associated with portions of the trace. Each template has one or more defined inputs and a defined output. For each template of the plurality of templates, the portions of the traces are processed to automatically configure the template by specifying a procedure for providing values of inputs to the template via the GUI and obtaining a value of an output. The automated dialogue system is configured with the configured templates, thereby avoiding manual configuration of the dialogue system.