首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Studies in the Area of Androids Reported from Technical University Wien (TU Wien ) (Supporting Human-robot Interaction By Projected Augmented Reality and a Brain Interface)

    126-127页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics - Androids is the subject of a report. According to newsreporting originating from Vienna, A ustria, by NewsRx correspondents, research stated, “This articlepresents a brai n-computer interface (BCI) coupled with an augmented reality (AR) system to supp orthuman-robot interaction in controlling a robotic arm for pick-and-place task s. BCIs can process steadystatevisual evoked potentials (SSVEPs), which are si gnals generated through visual stimuli.”

    Studies from Seoul National University of Science and Technology Provide New Dat a on Robotics (Interactive Path Editing and Simulation System for Motion Plannin g and Control of a Collaborative Robot)

    127-127页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotic s. According to news originating from Seoul,South Korea, by NewsRx corresponden ts, research stated, “Robots in hazardous environments demandprecise and advanc ed motion control, making extensive simulations crucial for verifying the safety ofmotion planning. This paper presents a simulation system that enables intera ctive path editing, allowingfor motion planning in a simulated collaborative ro bot environment and its real-world application.”

    Findings from University of Kent Broaden Understanding of Artificial Intelligenc e (Use of Artificial Intelligence Embryo Selection Based On Static Images To Pre dict First-trimester Pregnancy Loss)

    128-128页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Artific ial Intelligence. According to news originatingfrom Canterbury, United Kingdom, by NewsRx correspondents, research stated, “Research question: Canan artificia l intelligence embryo selection assistant predict the incidence of first-trimest er spontaneousabortion using static images of IVF embryos? Design: In a blind, retrospective study, a cohort of 172blastocysts from IVF cases with single embr yo transfer and a positive biochemical pregnancy test wasranked retrospectively by the artificial intelligence morphometric algorithm ERICA. Making use of static embryo images from a light microscope, each blastocyst was assigned to one of four possible groups(optimal, good, fair or poor), and linear regression was u sed to correlate the results with the presenceor absence of a normal fetal hear t beat as an indicator of ongoing pregnancy or spontaneous abortion,respectivel y.”

    Data on Machine Learning Discussed by Researchers at Nanyang Technological Unive rsity (Insights On Source Lithology and Pressure-temperature Conditions of Basal t Generation Using Machine Learning)

    129-130页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Singapore, Singapore, by Ne wsRx correspondents, research stated, “Identifying the origin andconditions of basalt generation is a crucial yet formidable task. To tackle this challenge, we introduce aninnovative approach leveraging machine learning.”

    Studies from Vnu University of Engineering & Technology Update Cur rent Data on Machine Learning (Machine Learning-based Bead Enumeration In Microf luidics Droplets Enhances the Reliability of Monitoring Bead Encapsulation Towar d Single-cell ...)

    130-130页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Hanoi, Vietnam, by N ewsRx correspondents, research stated, “The encapsulation of cellswithin drople ts is a crucial aspect of various cell analysis applications. Current research h as focusedon accurately detecting and identifying cell types or cell counts wit hin droplets using object detection inbright-field images.”

    Patent Issued for Artificial intelligence-based characters with changeable behav ior (USPTO 12039651)

    131-133页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Virtual characters find widespread use across various soft ware applications, including games, metaverses,social media, messengers, video communication tools, and online training tools. Users often engage withthese vi rtual characters and gain dynamic and interactive experiences. Conventionally, v irtual charactermodels are tailored for specific applications, lacking the flex ibility to seamlessly integrate into otherenvironments. Furthermore, these mode ls typically rely on predefined rules and adhere to specific logic,thereby hind ering adaptability. This approach not only complicates the development process b ut alsoresults in virtual character models that lack the capacity to dynamicall y adjust their behavior in real-time,responding to user emotions, actions, or c hanging environmental conditions.

    'Tagless Indoor User Localization Using Ultra-Wideband Communication' in Patent Application Approval Process (USPTO 20240241242)

    133-138页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “The background description provided herein is f or the purpose of generally presenting thecontext of the disclosure. Work of th e presently named inventors, to the extent it is described in thisbackground se ction, as well as aspects of the description that may not otherwise qualify as p rior art atthe time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.

    'Systems And Methods For Detecting Offensive Content Based On Metadata Of One Or More Responsive Messages' in Patent Application Approval Process (USPTO 2024024 4023)

    138-143页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Electronic messaging systems have enabled insta nt, and public, sharing messages acrossmany users and communities of users easy . With a click of a button, a user can make content available fortowns, cities, states, and even nations to view. Accordingly, when that content includes offen sive content,the impact of that offensive content can be wide-ranging.”

    Patent Application Titled 'Systems And Methods For Detecting Offensive Content I n A Metaverse Environment' Published Online (USPTO 20240244025)

    143-147页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Electronic messaging systems have enabled instant, and public , sharing messages across many users andcommunities of users easy. With a click of a button, a user can make content available for towns, cities,states, and e ven nations to view. Accordingly, when that content includes offensive content, the impactof that offensive content can be wide-ranging.”

    Researchers Submit Patent Application, 'Robot Device Configured to Determine an Interaction Machine Position of at Least One Element of a Predetermined Interact ion Machine, and Method', for Approval (USPTO 20240238981)

    147-153页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“The present subject matter relates to a robot device confi gured to determine an interaction machineposition of at least one element of a predetermined interaction machine with respect to the robot device,and to a met hod for determining an interaction machine position of at least one element of a predeterminedinteraction machine with respect to a robot device.