查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“In various situations, it is desirable to releasably secur e an object of interest, interchangeably referred toherein as a payload, to a s ecured-to object. The secured-to object may be stationary, non-stationary, orev en another object.“For example, a cargo carrier is an example of a payload. Cargo carriers, also k nown as roof boxes,ski boxes or racks, cargo boxes, roof top boxes, car toppers , bike racks, surfboard racks, or the like, areportable storage containers or d evices that can be secured to the top of an automobile or other vehicleon an as -needed basis. Such cargo carriers may be secured to structural elements, such a s mountingbrackets, roof racks, side rails, crossbars, or the like on the vehic le. These structural elements are typicallyintegrated components that are perma nently secured to the roof of the vehicle.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “In machine learning, data is used to train mach ine learning models to perform various tasks. One type of task that machine lear ning models can be trained to perform is converting textualinputs to auditory o r speech outputs-commonly referred to as text-to-speech (TTS). In some use cases ,TTS machine learning models are used to convert textual input (e.g., a string of alpha-numeric characters)into speech sounds that are imitative of human voic es.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from os f.io:“This short paper has three specific objectives. First, it provides a contextual ization of the increasingconvergence between Literature and Artificial Intellig ence (AI). Second, it unpacks the Representational Entanglement problem when lit erary works are modelled following the Knowledge Representation paradigmof AI. Third, it reviews the notion of Representational Disentanglement to tackle Repre sentational Entanglementin literary AI models.”
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