查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news originating fromBielefeld, Germany, by NewsRx corresp ondents, research stated, “Robots are a source of evaluative conflictand thus e licit ambivalence. In fact, psychological research has shown across domains that peoplesimultaneously report strong positive and strong negative evaluations ab out one and the same attitudeobject.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news reporting out ofBeijing, People’s Republic of C hina, by NewsRx editors, research stated, “Neuro-symbolic artificial intelligence has garnered considerable attention amid increasing industry demands for high- performanceneural networks that are interpretable and adaptable to previously u nknown problem domains with minimalreconfiguration.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news reporting from South Orange, New Jersey, by NewsRx journalists, research stated, “As AI becomes more commonplace, itis imp erative to investigate the ways in which this technology represents various soci o-political conceptsand identities, such as religion.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on robotics are disc ussed in a new report. According to newsreporting from Kent, Ohio, by NewsRx jo urnalists, research stated, “Due to the complexity of real-worlddeployments, a robot swarm is required to dynamically respond to tasks such as tracking multipl e vehiclesand continuously searching for victims.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to news reportingfrom Anhui, People’s Republi c of China, by NewsRx journalists, research stated, “Polymers, known for theirl ightweight, high strength, and ease of processing, serve as a key component in e ngineering materials.”Financial supporters for this research include University of Science And Technol ogy of China; ExcellentYoung Scholars Program of The National Natural Science F oundation of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning - Pattern Recognition andArtificial Intelligence. According to n ews reporting out of Chongqing, People’s Republic of China, byNewsRx editors, r esearch stated, “Versatile video coding (VVC) aims to achieve high compression b utalso issues like varying content/network conditions. Existing rate control (R C) methods struggle to achieveoptimal quality under these complex scenarios.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “The statements in this section merely provide b ackground information related to the presentdisclosure and may not constitute p rior art.“In a manufacturing environment, component detection and pose estimation is util ized to performautomated assembly tasks. As an example, a control system may pe rform a machine-learning routine todetect a particular component, determine one or more parameters associated with the component, andinstruct another manufact uring system, such as a robot or machining device, to perform an automatedtask based on the one or more parameters. However, machine-learning routines may requ ire large amountsof training data and time to properly train the control system to accurately perform component detectionroutines. These issues associated wit h machine-learning routines, among other issues, are addressed bythe present di sclosure.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on robotics are presented i n a new report. According to news reportingout of Quito, Ecuador, by NewsRx edi tors, research stated, “This report presents the development of arobotic arm fo r the efficient packaging of chocolates in a small-scale process.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Multiview systems, where multiple cameras captu re the same scene, are widely used inapplications such as surveillance systems, public security systems, video-assisted refereeing, umpiring insports, etc. It becomes increasingly popular to use the multiview systems to collect a vast amo unt ofinformation in the applications for reliable data analysis, three-dimensi onal reconstructions, or implementationof other tasks. For each of these implem entations, the same instance of an object of interest isrequired to be segmente d in the multiple images that are captured from different angles and different zoom settings. In other words, reliable identification of duplicate instances of the object of interest fromthe multiple images is required to avoid double coun ting and overcompensating. The existing duplicationidentification methods, howe ver, are complex and time-consuming. Another challenge is accuratephysical dime nsion detection for an object by merely using images of the object obtained in a multiviewsystem. This is particularly complicated when the images are captured by mobile devices in an uncontrolledenvironment.
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote: “Applied Machine Learning (ML) is a booming field t hat utilizes a cascade of layers of nonlinearprocessing units and algorithms fo r feature extraction and transformation with a wide variety of usagesand applic ations. ML typically involves two phases, training, which uses a rich set of tra ining data to traina plurality of machine learning models, and inference, which applies the trained machine learning modelsto actual applications. Each of the two phases poses a distinct set of requirements for its underlyinginfrastructu res. Various infrastructures may be used, e.g., graphics processing unit (GPU), a centralprocessing unit (CPU), a Field Programmable Gate Array (FPGA), an Appl ication Specific IntegratedCircuit (ASIC), etc. Specifically, the training phas e focuses on, as a non-limiting example, GPU or ASICinfrastructures that scale with the trained models and retraining frequency, wherein the key objective oft he training phase is to achieve high performance and reduce training time. The i nference phase, onthe other hand, focuses on infrastructures that scale with th e applications, user, and data, and the keyobjective of the inference phase is to achieve energy (e.g., performance per watt) and capital (e.g., returnon inve stment) efficiency.
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