查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news originatingfrom Mandalay Technological Uni versity by NewsRx correspondents, research stated, “This paper presentsthe dyna mic modelling and tracking control of a holonomic 3-wheel omni-directional mobil e robot.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of London, United Kingdom, by NewsRx editors, research stated, “Global longitudinal strain(GLS) i s reported to be more reproducible and prognostic than ejection fraction. Automa ted, transparentmethods may increase trust and uptake.”
查看更多>>摘要：No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors:““Technical Field“This application relates generally to information retrieval methods and systems .“Background of the Related Art“Enterprises and organizations that utilize conversational systems and methods o ften save transcriptsof historical human-human conversations, including those t ranscribed from voice calls, as well as humanbotconversations obtained from co nversational bot systems. In one type of application, an enterpriseinterested i n designing strategies for moving buyers or prospects through marketing and sale s funnelsmay use these transcripts for linguistic and conversational analysis, training and other purposes. One suchanalysis technique involves indexing utter ances (word sequences) by the words found within them, andagainst which keyword -based queries are then made. A more advanced analysis technique involves semantic clustering of individual utterances to create semantic graphs (or the like) a gainst which utterance-basedqueries are then made. In these approaches, utteran ces may be clustered manually to train a classifier,or they may be clustered au tomatically, e.g., based on distance metrics comparing vector representationsof each sentence. This latter approach uses a representation referred to as a word embedding. Thesesemantic clustering approaches may be used even when a user do es not know precisely which keywords tosearch for, as a learned model of this t ype can find semantically-similar language even if the keywords arenot exactly matched.
查看更多>>摘要：The patent’s assignee is Al Incorporated (Toronto, Canada).News editors obtained the following quote from the background information suppli ed by the inventors:“Mobile robotic devices are being used more and more freque ntly in a variety of industries for executingdifferent tasks with minimal or no human interaction. Such devices rely on various sensors to navigatethrough the ir environment and avoid driving into obstacles.
查看更多>>摘要：The patent’s assignee is Infrrd Inc. (San Jose, California, United States).News editors obtained the following quote from the background information suppli ed by the inventors:“Unless otherwise indicated herein, the materials described in this section are not prior art to the claims inthis application and are not admitted to being prior art by inclusion in this section.”As a supplement to the background information on this patent application, NewsRx correspondentsalso obtained the inventor’s summary information for this patent application: “In an embodiment, a systemfor detecting and extracting at least one checkbox symbol and a checkbox option pertaining to a checkboxquestion from a digital document is disclosed. The system comprises one or more processors co nfigured toidentify location of at least one checkbox symbol and its relative l ocation with respect to the at least onecheckbox option. The processor is confi gured to determine context of textual information correspondingto the at least one checkbox option using textual processing. A pictorial representation of non- textualinformation corresponding to the at least one checkbox symbol using visu al processing is detected. Theprocessor is configured to group the textual info rmation corresponding to the at least one checkbox optionwith the corresponding at least one checkbox symbol by a unique visual token using the textual processing and the visual processing on the document. The unique visual token is utiliz ed as an anchor to groupthe textual information with the non-textual informatio n in the digital document. The processor may beconfigured to identify at least a link between the at least one checkbox option with its corresponding atleast one checkbox question.”
查看更多>>摘要：This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Robotic manipulator systems may have various ap plications in automation, such as industrialproduction, medical procedures, man ufacturing, machining, and assembly, where highly-repetitiveprocedures may be p erformed. In such systems, robotic manipulator systems may have different sizes andscales and may be configured to perform processes on a variety of apparatuse s and systems. In some cases,precision and accuracy are highly valuable to the processes performed with robotic manipulator systems.For example, robotic manip ulator systems may be implemented for precise and accurate object retrievaland placement, where the robotic manipulator systems may retrieve an object from an initial position,move the object over some distance, and place the object at a final position (e.g., the same as or differentthan the initial position). In so me cases, however, operations of robotic manipulator systems for preciseand acc urate object retrieval and placement may present challenges that adversely affec t operationalefficiency.”
查看更多>>摘要：No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors: “Along-term evolution (LTE) system, initiated by the third-ge neration partnership project (3GPP), is nowbeing regarded as a new radio interf ace and radio network architecture that provides a high data rate, lowlatency, packet optimization, and improved system capacity and coverage. In the LTE syste m, an evolveduniversal terrestrial radio access network (E-UTRAN) includes a pl urality of evolved Node-Bs (eNBs) and communicates with a plurality of mobile st ations, also referred to as user equipment’s (UEs). The UE ofthe LTE system can transmit and receive data on only one carrier component at any time.
查看更多>>摘要：This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “With the progress of science and technology, pe ople have higher and higher requirements forquality of life, and have gradually increased demand for indoor cleaning. With respect to user demands forfloor sw eeping and floor mopping, more and more products realize both floor sweeping and floor moppingon one device, resulting in more convenient indoor cleaning with less manual intervention.
查看更多>>摘要：This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Technical Field“The present disclosure comprising embodiments of the invention, relates to an a utomatic workingsystem, and further relates to a turning method of an automatic working system and a self-moving device.“Background.
查看更多>>摘要：The assignee for this patent, patent number 12033251, is Adobe Inc. (San Jose, C alifornia, UnitedStates).Reporters obtained the following quote from the background information supplied by the inventors:“Recent years have seen significant improvements in computer s ystems for implementing artificial intelligenceand machine learning models. For example, computer systems can implement machine learningmodels (such as neural networking models) to identify objects portrayed in digital images, generate di gital animations and other content, etc. Such advancements have occurred as a re sult of many factors in relationto training data sourcing and generation, featu re engineering, model engineering (e.g., modificationof machine-learning archit ecture and parameters), model training, and improved model operation.
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