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    Watch swarms of 'ant-like' robots lift heavy objects and hurl themselves over ob stacles

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Scientists in South Korea have develop ed swarms of tiny magnetic robots that worktogether like ants to achieve Hercul ean feats, including traversing and picking up objects many times theirsize.The findings, published, December 18 in the Cell Press journal Device, suggest t hat these microrobotswarms-operating under a rotating magnetic field-could be u sed to take on difficult tasks in challengingenvironments that individual robot s would struggle to handle, such as offering a minimally invasivetreatment for clogged arteries and precisely guiding organisms.

    Watch swarms of 'ant-like' robots lift heavy objects and hurl themselves over ob stacles

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Scientists in South Korea have develop ed swarms of tiny magnetic robots that worktogether like ants to achieve Hercul ean feats, including traversing and picking up objects many times theirsize.The findings, published, December 18 in the Cell Press journal Device, suggest t hat these microrobotswarms-operating under a rotating magnetic field-could be u sed to take on difficult tasks in challengingenvironments that individual robot s would struggle to handle, such as offering a minimally invasivetreatment for clogged arteries and precisely guiding organisms.

    Georgia Institute of Technology Reports Findings in Machine Learning (Machine Le arning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membr ane Separation)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Atlanta, Geo rgia, by NewsRx correspondents, research stated, “Polymericmembranes have been widely used for liquid and gas separation in various industrial applications ove rthe past few decades because of their exceptional versatility and high tunabil ity. Traditional trial-anderrormethods for material synthesis are inadequate t o meet the growing demands for high-performancemembranes.”

    Georgia Institute of Technology Reports Findings in Machine Learning (Machine Le arning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membr ane Separation)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Atlanta, Geo rgia, by NewsRx correspondents, research stated, “Polymericmembranes have been widely used for liquid and gas separation in various industrial applications ove rthe past few decades because of their exceptional versatility and high tunabil ity. Traditional trial-anderrormethods for material synthesis are inadequate t o meet the growing demands for high-performancemembranes.”

    Second Affiliated Hospital of Air Force Medical University Reports Findings in G astric Cancer (An integrated machine learning framework for developing and valid ating a prognostic risk model of gastric cancer based on endoplasmic reticulum . ..)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According tonews originating from Shaanxi, Peop le’s Republic of China, by NewsRx correspondents, research stated,“Gastric canc er (GC), a prevalent and deadly malignancy, demonstrates poor survival outcomes. Evidencehas emerged indicating that disruptions in endoplasmic reticulum homeo stasis are significantly implicatedin the onset and progression of various onco logical conditions.”

    Second Affiliated Hospital of Air Force Medical University Reports Findings in G astric Cancer (An integrated machine learning framework for developing and valid ating a prognostic risk model of gastric cancer based on endoplasmic reticulum . ..)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According tonews originating from Shaanxi, Peop le’s Republic of China, by NewsRx correspondents, research stated,“Gastric canc er (GC), a prevalent and deadly malignancy, demonstrates poor survival outcomes. Evidencehas emerged indicating that disruptions in endoplasmic reticulum homeo stasis are significantly implicatedin the onset and progression of various onco logical conditions.”

    Stanford University Reports Findings in Machine Learning (Evaluating Chemical Tr ansport and Machine Learning Models for Wildfire Smoke PM2.5: Implications for A ssessment of Health Impacts)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Stanford, Ca lifornia, by NewsRx correspondents, research stated, “Growingwildfire smoke rep resents a substantial threat to air quality and human health. However, the impact of wildfire smoke on human health remains imprecisely understood due to uncert ainties in both themeasurement of exposure of population to wildfire smoke and dose-response functions linking exposure tohealth.”

    Stanford University Reports Findings in Machine Learning (Evaluating Chemical Tr ansport and Machine Learning Models for Wildfire Smoke PM2.5: Implications for A ssessment of Health Impacts)

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Stanford, Ca lifornia, by NewsRx correspondents, research stated, “Growingwildfire smoke rep resents a substantial threat to air quality and human health. However, the impact of wildfire smoke on human health remains imprecisely understood due to uncert ainties in both themeasurement of exposure of population to wildfire smoke and dose-response functions linking exposure tohealth.”

    Study Results from Uppsala University in the Area of Machine Learning Reported ( Continuous Flow Synthesis of Prussian Blue and Analogues Assisted By Ai)

    5-5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 newsreporting originating in Uppsala, Swe den, by NewsRx journalists, research stated, “Prussian blue and itsanalogs are promising materials for numerous applications. Interest in this class of materia ls arises fromtheir broad pore distribution, redox properties, high biocompatib ility, low-cost components, straightforwardmanufacturability, and adaptability through analog development.”

    Study Results from Uppsala University in the Area of Machine Learning Reported ( Continuous Flow Synthesis of Prussian Blue and Analogues Assisted By Ai)

    5-5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 newsreporting originating in Uppsala, Swe den, by NewsRx journalists, research stated, “Prussian blue and itsanalogs are promising materials for numerous applications. Interest in this class of materia ls arises fromtheir broad pore distribution, redox properties, high biocompatib ility, low-cost components, straightforwardmanufacturability, and adaptability through analog development.”