查看更多>>摘要：The patent’s assignee is Phaidra Inc. (Seattle, Washington, United States).News editors obtained the following quote from the background information suppli ed by the inventors:“Today, artificial intelligence (AI) systems have been adop ted by entities spanning a number of differentindustries, with AI systems appli ed to optimize and predict features defined by the entities. Typically, theseen tities have been large enterprise organizations with the associated resources (e .g., funding, technicalexpertise, etc.) that are necessary to design and implem ent AI systems. As a result, smaller entities, aswell as entities without a cle arly defined use for AI systems have thus far been deterred from applying AIto their business needs. For both types of entities, this may be attributed to a la ck of infrastructure forAI systems. These entities may also lack the expertise necessary to define their business objectives in AIterms and apply an AI system to optimize their business objectives. However, even existing AI systemsmanage d by enterprise organizations can be ineffective, as the individuals responsible for designing theAI systems lack the knowledge held by domain level experts th at are engaged with the entity’s businessobjectives. Further, existing AI syste ms are often limited to predicting features defined by the entities,lacking cap abilities to make decisions corresponding to the predicted features.
查看更多>>摘要：This patent was filed on November 6, 2019 and was published online on April 2, 2 024.From the background information supplied by the inventors, news correspondents o btained the followingquote:“Field of the Invention“The present disclosure generally relates to the remediation of excavated pipe s ections and moreparticularly to systems and methods for the removal, retention and collection for disposal of potentiallyhazardous material from an exterior s urface of the pipe section.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Computer-aided drawings typically convey information about a to-be-fabricated structure, such as a part oran assembly of components of a par t. However, pertinent information in computer-aided three-dimensionalmodels is sometimes missing.”
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Modern logistic centers often make use of conveyors and/or ro bots in the fully-automated or semiautomatedprocesses of distribution of crate s to their designated locations in a shelving array, as well asof returning sto red crates from their locations upon demand.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – According to news reporting based on a preprint a bstract, our journalists obtained the followingquote sourced from biorxiv.org:“Assistive robotic devices like exoskeletons offer the promise of improving mobi lity for millions ofpeople.“However, developing devices that improve an objective mobility metric is challe nging. Human-inthe-loop optimization is a systematic approach for personalizing robotic assistance to maximize a mobilitymetric that has improved device perfo rmance for different metrics and applications. Successfully performinghuman-in- the-loop optimization requires the experimenter to make many decisions, like sel ecting theappropriate optimization algorithm, hyperparameters, and convergence criteria. Typically, selecting theseexperimental settings involves pilot experi mentation.
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