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    Study Findings on Robotics Discussed by a Researcher at Changchun University of Science and Technology (An Admittance Parameter Optimization Method Based on Rei nforcement Learning for Robot Force Control)

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news originating from Changchun, People’s Republic of China, by NewsRx editors, the research stated, “When a robot performs tasks such as assembly or human-robot interaction, it is inevitable for it to collide with the unknown env ironment, resulting in potential safety hazards.” Financial supporters for this research include Equipment Development Department of People’s Republic of China Central Military Commission; Department of Science And Technology of Jilin Province Key R&D Project.

    Researchers at Department of Advanced Materials Target Additive Manufacturing Te chnology [Wire-based Directed Energy Deposition (Ded-wire) Us ed As Additive Manufacturing Technology for Industrial Inconel 718 Tools for Rob otic Friction Stir ...]

    88-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Technology - Additive Manufacturing Technology. According to news reporting orig inating in Linares, Spain, by NewsRx journalists, research stated, “The Inconel 718 nickel-base superalloy (IN718) is a high-strength and highly corrosion-resis tant material used in several industrial applications. Its high mechanical and c hemical properties make this material a focus of interest for additive manufactu ring because IN718 is expensive, and a heat treatment post-manufacturing is typi cally needed.”

    New Support Vector Machines Research from Changchun University of Science and Te chnology Discussed (Research on On-Line Monitoring of Grinding Wheel Wear Based on Multi-Sensor Fusion)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on have been pub lished. According to news reporting from Changchun, People’s Republic of China, by NewsRx journalists, research stated, “The state of a grinding wheel directly affects the surface quality of the workpiece.” Funders for this research include China Postdoctoral Science Foundation; Jilin P rovince Science And Technology Development Plan Project; Chongqing Natural Scien ce Foundation.

    University of Munster Reports Findings in Machine Learning [C atalysing (organo-)catalysis: Trends in the application of machine learning to e nantioselective organocatalysis]

    90-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Munster, Germany, by N ewsRx correspondents, research stated, “Organocatalysis has established itself a s a third pillar of homogeneous catalysis, besides transition metal catalysis an d biocatalysis, as its use for enantioselective reactions has gathered significa nt interest over the last decades. Concurrent to this development, machine learn ing (ML) has been increasingly applied in the chemical domain to efficiently unc over hidden patterns in data and accelerate scientific discovery.”

    University of New South Wales Researchers Describe Recent Advances in Robotics ( Bearing-Based Leader-Follower Formation Tracking Control Using Elevation Angle)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news originating from Sydney, Australia, by NewsRx correspondents, research stated, “This paper studies the elevation anglebased formation tracking control of multi-agent systems. Unlike bearing-based formatio n control, which uses bearing vectors, formation control using elevation angles eliminates the need for a global coordinate frame.” Funders for this research include University International Postgraduate Award (U ipa) From The University of New South Wales.

    New Machine Learning Data Have Been Reported by Researchers at McMaster Universi ty (Alpri-fi: a Framework for Early Assessment of Hardware Fault Resiliency of D nn Accelerators)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Hamilton, Canada, by NewsRx c orrespondents, research stated, “Understanding how faulty hardware affects machi ne learning models is important to both safety-critical systems and the cloud in frastructure.” Financial supporters for this research include Natural Sciences and Engineering Research Council (NSERC) of Canada, Innovation, Science and Economic Development Canada.

    Swiss Federal Institute of Technology in Lausanne (EPFL) Reports Findings in Mac hine Learning (SzCORE: Seizure Community Open-Source Research Evaluation framewo rk for the validation of electroencephalography-based automated seizure detectio n ...)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting out of Lausanne, Switzerland, by NewsRx editors, research stated, “The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing wit h the increasing use of ambulatory and long-term EEG monitoring. Heterogeneity i n validation methods of these algorithms influences the reported results and mak es comprehensive evaluation and comparison challenging.”

    Patent Issued for System and method for voice morphing in a data annotator tool (USPTO 12086564)

    93-96页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the following quote: “Automatic speech recognition (ASR) often employs n eural networks (and/or machine learning techniques). Such networks must be train ed on samples of speech audio with transcriptions checked by humans. Supervised machine learning requires labeled data. Checking transcriptions is part of label ing data for training automatic speech recognition using machine learning. Label ing data has a fairly low skill requirement and can be done at any time of day. As a result, it is a perfect task for people who work remotely. Many times, this transcription is done by part-time employees or non-employee contractors, who l isten to and transcribe recordings of human speech. Other times, humans check an d confirm machine generated transcriptions of speech.

    'Transmission With Integrated Overload Protection For A Legged Robot' in Patent Application Approval Process (USPTO 20240301921)

    96-98页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “An example robot may have a plurality of member s forming the robot’s legs and arms. The motion of these members may be controll ed by actuators such as hydraulic cylinders and motors. The design of these actu ators determines the performance characteristics of the robot such as how fast t he robot can respond to commands and external disturbances. Design factors that affect performance of the robot may include rotary inertia of the actuator and g ear ratio of a transmission coupled thereto, among other factors.”

    Researchers Submit Patent Application, 'Multi-Object Tracking Using Correlation Filters In Video Analytics Applications', for Approval (USPTO 20240303836)

    98-101页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “Efficient and effective object tracking is a critical task in a visual perception pipeline, as it bridges inference results across video f rames, enabling temporal analysis of objects of interest. Tracking multiple obje cts is a key problem for many applications such as surveillance, animation, acti vity recognition, or vehicle navigation. Conventional multi-object trackers may be implemented using independent single-object trackers that run on full-frames of video and track objects by associating bounding boxes between frames. Trackin g is typically performed on a single video stream and divided into localization and data association. For localization, each single-object tracker may independe ntly estimate a location of a detected object in a frame- and for data associati on-estimated object locations from the trackers may be linked across frames to f orm complete trajectories. Discriminative Correlation Filters (DCFs) have recent ly been used for localization in object tracking. DCF-based trackers may define a search region around an object of interest, where an optimal correlation filte r is learned so that the object can be localized in the next frame as the peak l ocation of a correlation response within the search region.