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    Researchers’ Work from University of Colorado Boulder Focuses on Robotics (Robus t control of electrohydraulic soft robots)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news reporting out of Boulder,Colorado, by NewsRx editors, res earch stated, “This article introduces a model-based robust controlframework fo r electrohydraulic soft robots.”

    Reports Outline Robotics Findings from Northwestern Polytechnic University (Soci al Learning With Actor-critic for Dynamic Grasping of Underwater Robots Via Digi tal Twins)

    11-12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 Robotics. According to news reporting originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “Dynamic graspingis a cruc ial technology in the field of underwater robotics, playing an essential role in executing complextasks. However, traditional control methods encounter challen ges in achieving an efficient and stabledynamic grasping process due to the com plexities and uncertainties of underwater environments.”

    University of Toronto Reports Findings in Machine Learning (Protocol for machine -learning-based 3D image analysis of nuclear envelope tubules in cultured cells)

    12-12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 newsoriginating from Toronto, Canada, by Ne wsRx correspondents, research stated, “The nuclear envelopecan form complex str uctures in physiological and pathological contexts. Current approaches to quanti fynuclear envelope structures can be time-consuming or inaccurate.”

    Cancer Hospital Reports Findings in Artificial Intelligence (Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review)

    13-14页
    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 Beijing, People ’s Republic of China, by NewsRx editors, research stated, “Some researchhas alr eady reported the diagnostic value of artificial intelligence (AI) in different endoscopy outcomes.However, the evidence is confusing and of varying quality.”

    Bengbu Medical University Reports Findings in Rectal Cancer (Preoperative predic tion of rectal Cancer staging combining MRI deep transfer learning, radiomics fe atures, and clinical factors: accurate differentiation from stage T2 to T3)

    14-14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 - Rectal Canc er is the subject of a report. According tonews reporting originating from Anhu i, People’s Republic of China, by NewsRx correspondents, researchstated, “This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures,and clinical variables to accurately preoperatively differentiate b etween stage T2 and T3 rectal cancer. Weincluded 361 patients with pathological ly confirmed stage T2 or T3 rectal cancer, divided into a trainingset (252 pati ents) and a test set (109 patients) at a 7:3 ratio.”

    Auburn University Reports Findings in Machine Learning (Discrimination of Common E. coli Strains in Urine by Liquid Chromatography-Ion Mobility-Tandem Mass Spec trometry and Machine Learning)

    15-15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 from Auburn, Alabama, by News Rx journalists, research stated, “Accurate identification ofbacterial strains i n clinical samples is essential to provide an appropriate antibiotherapy to the patient andreduce the prescription of broad-spectrum antimicrobials, leading to antibiotic resistance. In this study, weutilized the combination of a multidim ensional analytical technique, liquid chromatography-ion mobilitytandemmass sp ectrometry (LC-IM-MS/MS), and machine learning to accurately identify and distin guish11 () strains in artificially contaminated urine samples.”

    New Findings Reported from Shanghai Jiao Tong University Describe Advances in Ma chine Learning (Thermal Plasma Medical Waste Treatment: Data-ml Driven System Pe rformance and Product Prediction)

    16-17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 from Shanghai, People’s Republic of China, by NewsRx correspondents, researchstated, “Thermal plasma technology, a cutting-edge solution for managing medical waste, has gaine dprominence following the recent global health crisis, which notably increased medical waste volumes. Thisstudy explores the application of machine learning ( ML) algorithms to predict performance and productoutcomes in thermal plasma tre atment systems for medical waste.”

    University of Technology Sydney Researcher Highlights Research in Artificial Int elligence (Ontology in Hybrid Intelligence: A Concise Literature Review)

    17-17页
    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 reportingout of Ultimo, Australia, by News Rx editors, research stated, “In the context of the constant evolutionand proli feration of AI technology, hybrid intelligence is gaining popularity in referenc e to a balancedcoexistence between human and artificial intelligence.”

    New Findings on Machine Learning Described by Investigators at University of Mic hoacana (Process Systems Engineering Tools for Optimization of Trained Machine L earning Models: Comparative and Perspective)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting originatingin Michoacan, Mexico, by New sRx journalists, research stated, “This article studies the relevanceof innovat ive Process Systems Engineering (PSE) tools that can reformulate trained machine learningmodels that are driven by advances in computational technologies, show casing a pivotal transformationin chemical engineering methodologies. The artic le also delves into how trained machine learning modelsare reformulated and opt imized to refine engineering decisions as it provides a novel analysis of tools todevelop machine learning models by reformulating them, and optimizing them in PSE, thus highlightingtheir significance and applications.”

    New Findings from University of Waterloo in Robotics Provides New Insights (Hybr id Zwitterionic Hydrogels With Encoded Differential Swelling and Programmed Defo rmation for Small-scale Robotics)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting fromWaterloo, Canada, by NewsRx journalist s, research stated, “Stimuli-responsive shape-morphing hydrogelswith self-heali ng and tunable physiochemical properties are excellent candidates for functional buildingblocks of untethered small-scale soft robots. With mechanical properti es similar to soft organs and tissues,such robots enable minimally invasive med ical procedures, such as cargo/cell transportation.”