Abstract: A system to build a three-dimensional model of a user's teeth and adjoining tissues which comprises at least one intraoral device to be arranged in the oral cavity of the user; at least one set of cameras arranged in the intraoral device to capture at least one stereo image of the oral cavity of the at least one user; and at least one processing medium which receives the at least one stereo image; wherein at least the one processing medium comprises at least one trained neural network which analyzes the at least one stereo image to estimate at least one depth map; and wherein the at least one processing medium also comprises at least one block of location and mapping which sequentially integrates the at least one stereo image and the at least one depth map to the generated three-dimensional model.

Abstract: The present invention relates to the extraction of lithium from liquid resources such as natural and synthetic brines, leachate solutions from clays and minerals, and recycled products with the assistance of an alternate phase.

Abstract: The invention provides a low-moisture extruded texturized vegetable protein, defined as a fibrous and firm protein material obtained by extrusion at a moisture content of 20-30 wt. %, said texturized vegetable protein having a protein content of at least 70 wt. % relative to dry matter, which texturized vegetable protein is prepared by extrusion of a feed composition comprising a) a source of plant protein from seed, cereal, algae, fruit, leaf or legume comprising at least 65 wt. % plant protein, relative to dry matter; and b) a source of tuber protein, comprising at least 75 wt. % tuber protein, relative to dry matter. The invention furthermore provides food products comprising the TVP of the invention, as well as methods for obtaining these products, and use thereof for substituting animal-derived meat in food products.

Abstract: The invention relates to the field of antibodies. In particular it relates to the field of therapeutic (human) antibodies for the treatment of ErbB-2/ErbB-3 positive cells. More in particular it relates to treating of cells comprising an NRG1 fusion gene comprising at least a portion of the NRG1-gene fused to a sequence from a different chromosomal location.

Abstract: A system to build a three-dimensional model of a user's teeth and adjoining tissues which comprises at least one intraoral device to be arranged in the oral cavity of the user; at least one set of cameras arranged in the intraoral device to capture at least one stereo image of the oral cavity of the at least one user; and at least one processing medium which receives the at least one stereo image; wherein at least the one processing medium comprises at least one trained neural network which analyzes the at least one stereo image to estimate at least one depth map; and wherein the at least one processing medium also comprises at least one block of location and mapping which sequentially integrates the at least one stereo image and the at least one depth map to the generated three-dimensional model.

Abstract: Systems and methods of identifying wearable tags or other items within a facility. The location of the identifiable item can be calculated by the system and used to improve the efficiency of the facility or to dispatch emergency help or maintenance to the location of the badge.

Abstract: A chair assembly includes a base assembly, a seat assembly having a pair of side edges and a fore-to-aft extending longitudinal centerline, a back assembly movable between upright and reclined positions, and an arm assembly including an arm base extending from a first location between the side edges to a second location laterally outward of one of the side edges, wherein the arm base extends at an acute angle with respect to the longitudinal centerline and at an upward angle from the first location toward the second location, a support assembly supported by and extending upwardly from the arm base, and an armrest supported by the support assembly that is adjustable to support the armrest between a plurality of selected vertical positions, wherein the arm assembly and back assembly move at a different rate from one another as the back assembly is moved between the upright and reclined positions.

Abstract: A chair assembly includes a base assembly, a seat assembly having a pair of side edges and a fore-to-aft extending longitudinal centerline, a back assembly movable between upright and reclined positions, and an arm assembly including an arm base extending from a first location between the side edges to a second location laterally outward of one of the side edges, wherein the arm base extends at an acute angle with respect to the longitudinal centerline and at an upward angle from the first location toward the second location, a support assembly supported by and extending upwardly from the arm base, and an armrest supported by the support assembly that is adjustable to support the armrest between a plurality of selected vertical positions, wherein the arm assembly and back assembly move at a different rate from one another as the back assembly is moved between the upright and reclined positions.

Abstract: A process for delineating a population of electrode structures in a web includes laser ablating the web to form ablations in the web, each ablation being formed by removing a portion of an electrochemically active layer to thereby expose a portion of an electrically conductive layer. The process includes forming alignment features in the web that are formed at predetermined locations on the web. The process also includes laser machining the web to form weakened tear patterns in the web that delineate members of the electrode structure population, each of the delineated members being individually bounded, at least in part, by a member of the weakened tear patterns that is adapted to facilitate separation of delineated members, individually, from the web by an application of a force, the alignment features being used to aid in the formation of the weakened tear patterns.

Abstract: This specification is generally directed to techniques for generating interfacing source code between computing components based on natural language input. In various implementations, a natural language input that requests generation of interfacing source code to logically couple a first computing component with a second computing component may be processed to generate an interface request semantic embedding. The interface request semantic embedding may be processed based on one or more domain models associated with the first and second computing components to generate a pool(s) of candidate code snippets for logically coupling with first and second computing components. A plurality of candidate instances of interfacing source code may be generated between the first and second computing components. Each candidate software interface may include a different permutation of candidate code snippets from the pool(s) of candidate code snippets.

Abstract: Techniques for enabling a library of local maps to remain de-coupled from a global map are disclosed. An MR system is determined to be located on a platform that is currently moving or that has an ability to readily move. That platform's type is determined. Based on the determined type for the platform, a 3D boundary that approximates a shape for the platform's type is generated. The 3D boundary is imposed on the platform. Scanning data for the platform is acquired. The bounds for that scanning data is at least initially limited to that of the 3D boundary. The scanning data is used to build or supplement a library of local maps. The library is representative of the platform. That library is prevented from being coupled to a global map.

Abstract: Disclosed implementations relate to adding “bottleneck” models to machine learning pipelines that already apply domain models to translate and/or transfer representations of high-level semantic concepts between domains. In various implementations, an initial representation in a first domain of a transition from an initial state of an environment to a goal state of the environment may be processed based on a pre-trained first domain encoder to generate a first embedding that semantically represents the transition. The first embedding may be processed based on one or more bottleneck models to generate a second embedding with fewer dimensions than the first embedding. In various implementations, the second embedding may be processed in various ways to train one or more of the bottleneck model(s) based on various different auxiliary loss functions.

Abstract: The invention relates to methods of treating of subject that has breast cancer or is at risk of having said cancer, comprising administering to the subject in need thereof a combination of a therapeutically effective amount of an ErbB-2/ErbB-3 bispecific antibody and a therapeutically effective amount of an endocrine therapy drug, wherein the bispecific antibody has an antigen binding site that can bind an extra-cellular part of ErbB-2 and an antigen binding site that can bind an extra-cellular part of ErbB-3; and to means for said method.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a prompt, obtaining a set of documents, generating an input, providing the input to a plurality of language models, generating a distribution from intermediate answers from the language models; and generating an answer to the prompt by performing a probabilistic inference over the distribution.

Abstract: Disclosed implementations relate to preserving individuals' semantic privacy while facilitating automation of tasks across a population of individuals. In various implementations, data indicative of an observed set of interactions between a user and a computing device may be recorded and used to simulate multiple different synthetic sets of interactions between the user and the computing device. Each synthetic set may include a variation of the observed set of interactions at a different level of abstraction. User feedback may be obtained about each of the multiple different sets. Based on the user feedback, one of the multiple different synthetic sets of interactions may be selected and used to train a machine learning model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating synthetic training data representing network disruptions. One of the methods includes obtaining data representing one or more first travel time distributions between at the at least two entities in the supply chain network. Synthetic network disruption data is generated including sampling from one or more second travel time distributions corresponding respectively to one or more simulated network disruptions. A second dataset having the synthetic network disruption data is generated, and a network policy agent is trained using the second dataset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating alternative networks. One of the methods includes receiving supply chain data representing a first supply chain network having nodes and links, receiving map data, providing the map data and the supply chain data as input to a generative process that is configured to generate one or more second supply chain networks, receiving, as output from the generative process, a second supply chain network, performing a supply chain simulation on the second supply chain network generated by the generative model, and computing a performance metric for the second supply chain network based on performing the simulation.

Abstract: Implementations are described herein for aggregating information responsive to a query from multiple different data feed services using machine learning. In various implementations, NLP may be performed on a natural language input comprising a query for information to generate a data feed-agnostic aggregator embedding (FAAE). A plurality of data feed services may be selected, each having its own data feed service action space that includes actions that are performable to access data via the data feed service. The FAAE may be processed based on domain-specific machine learning models corresponding to the selected data feed services. Each domain-specific machine learning model may translate between a respective data feed service action space and a data feed-agnostic semantic embedding space. Using these models, action(s) may be selected from the data feed service action spaces and performed to aggregate, from the plurality of data feed services, data that is responsive to the query.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a large language model as a common interface between entities in a supply chain network. One of the methods includes receiving, by a supply chain analysis system, a plurality of messages from entities in a supply chain network having a plurality of entities. Each message is provided to a large language model that is configured to generate modified messages that are in a standardized format, wherein the standardized format includes one or more data elements representing a proposed exchange in the supply chain network. The standardized messages are provided to one or more of the entities in the supply chain network to effectuate a communications interface through the large language model for entities in the supply chain network.

Abstract: Disclosed implementations relate to automating semantically-similar computing tasks across multiple contexts. In various implementations, an initial natural language input and a first plurality of actions performed using a first computer application may be used to generate a first task embedding and a first action embedding in action embedding space. An association between the first task embedding and first action embedding may be stored. Later, subsequent natural language input may be used to generate a second task embedding that is then matched to the first task embedding. Based on the stored association, the first action embedding may be identified and processed using a selected domain model to select actions to be performed using a second computer application. The selected domain model may be trained to translate between an action space of the second computer application and the action embedding space.