查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote: “For many years, attempts have been made to develop improved systems for picking up individualarticles from a conveyor system and depositing those articles within a container, such as a corrugatedcardboard box . The desire is to accomplish this task with speed and accuracy. To meet the dem andfor speed, past solutions have used multiple robots along the conveyor, such as described in U.S. Pat.No. 6,540,063. Often, if four such robot heads are us ed, each head picks up every fourth article on theconveyor system in a staggere d manner so that the four robot heads effectively remove four consecutivearticl es during each cycle. While this multiplicity of heads increases the packing spe ed, the means formoving the robot heads from the conveyor system to the contain er may be awkward or cumbersome toimplement.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “This disclosure is directed to identifying obje cts in a media stream. In particular, techniquesare disclosed for leveraging ma chine learning to enable user-specific real-time information services forobject s identified in a media stream.”
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“Embodiments of the present invention generally relate to i mproving document retrieval efficiency and/ordocument retrieval reliability in document management systems.”As a supplement to the background information on this patent, NewsRx corresponde nts also obtainedthe inventors’ summary information for this patent: “In genera l, embodiments of the present disclosureprovide methods, apparatus, systems, co mputing devices, computing entities, and/or the like for generatinga subset of related document objects for a predictive entity. In various embodiments, a set of entitymetadata features associated with the predictive entity instance of th e predictive entity is identified andprocessed using an entity-document correla tion machine learning model to identify a subset of relateddocument objects for the predictive entity instance from a set of reference document objects.
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:“Model-based analysis is essential for extracting information about chemical rea ction kinetics in fulldetail from time-resolved data sets. Such analysis combin es experimental hypotheses of the process withmathematical models related to th e system\’s physical mechanisms.
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 medrxiv.org:“Currently, the ability to analyze large-scale whole genome sequence (WGS) data is limited due to boththe size of the data and the inability of many existing t ools to scale.
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