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    Investigators from Southeast University Zero in on Artificial Intelligence (Ai A gents for Uhpc Experimental Design: High Strength and Low Cost With Fewer Experi mental Trials)

    30-30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 Artificial In telligence have been published. According to newsreporting from Nanjing, People ’s Republic of China, by NewsRx journalists, research stated, “Lowering thecost of UHPC mixtures while maintaining optimal performance has been a key obstacle for the researchand development of the material. Artificial intelligence (AI) t echniques are being increasingly used inUHPC mix design optimization to accompl ish this goal.”

    First Affiliated Hospital of Xi’an Jiaotong University Reports Findings in Chola ngiocarcinoma (Machine Learning-based Development and Validation of a Cell Senes cence Predictive and Prognostic Signature in Intrahepatic Cholangiocarcinoma)

    31-32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 - Cholangioca rcinoma is the subject of a report. Accordingto news originating from Xi’an, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Previous s tudies have shown that cellular senescence is strongly associated with tumorigen esis andthe tumor microenvironment. Accordingly, we developed a novel prognosti c signature for intrahepaticcholangiocarcinoma (ICCA) based on senescence-assoc iated long non-coding RNAs (SR-lncRNAs) andidentified a lncRNA-miRNA-mRNA axis involving in ICCA.”

    Researchers at Shanghai Institute of Technology Report New Data on Machine Learn ing (Ai Fairness-from Machine Learning To Federated Learning)

    32-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Shanghai, People’s Repu blic of China, by NewsRx journalists, research stated, “This articlereviews the theory of fairness in AI-from machine learning to federated learning, where the constraints onprecision AI fairness and perspective solutions are also discuss ed. For a reliable and quantitative evaluationof AI fairness, many associated c oncepts have been proposed, formulated and classified.”

    Researchers at Nanjing University of Posts and Telecommunications Have Reported New Data on Robotics (Toward General Crossmodal Signal Reconstruction for Robot ic Teleoperation)

    33-33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 originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “The multi-modalrobotic teleoperati on, as an important application in human-computer interaction (HCI), is playing asignificant role in various domains such as industry, healthcare, and educatio n. However, existing roboticteleoperation systems face significant challenges w ith multi-modal signals, primarily in designing a crossmodalcommunication arch itecture that caters to diverse modal requirements and ensuring high-qualitycro ss-modal signal reconstruction even in poor network conditions.”

    Shenyang National Laboratory for Materials Science Reports Findings in Machine L earning (Layer-by-layer phase transformation in Ti3O5 revealed by machine-learni ng molecular dynamics simulations)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Shenyang, People’s Repu blic of China, by NewsRx correspondents, research stated,“Reconstructive phase transitions involving breaking and reconstruction of primary chemical bonds areubiquitous and important for many technological applications. In contrast to dis placive phase transitions,the dynamics of reconstructive phase transitions are usually slow due to the large energy barrier.”

    Studies from Nanjing University of Aeronautics and Astronautics Have Provided Ne w Data on Robotics (Jensen-shannon Divergence You Only Look Once: a Real-time Ro botic Grasp Detection Network)

    35-35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 Robotics have been published. According to news reportingout of Jiangsu, People’s Republic o f China, by NewsRx editors, research stated, “In this article, thearbitrary-ori ented object detection problem with application in robotic grasping is addressed . A novelJensen-Shannon divergence (JSD)- You Only Look Once (YOLO) model is pr oposed, which enables realtimegrasp detection with high performance.”

    LMU University Hospital Reports Findings in Robotics (Effects of robotic-assiste d early mobilization versus conventional mobilization in intensive care unit pat ients: prospective interventional cohort study with retrospective control group …)

    36-37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 is the subjec t of a report. According to news originatingfrom Munich, Germany, by NewsRx cor respondents, research stated, “Approximately one in three survivorsof critical illness suffers from intensive-care-unit-acquired weakness, which increases mort ality and impairsquality of life. By counteracting immobilization, a known risk factor, active mobilization may mitigate itsnegative effects on patients.”

    Findings from Kalinga Institute of Industrial Technology Broaden Understanding o f Boltzmann Machines (Gm Score: Incorporating Inter-class and Intra-class Genera tor Diversity, Discriminability of Latent Space, and Sample Fidelity for Evaluat ing …)

    37-37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 Boltzmann Machines is n ow available. According to news reporting outof Odisha, India, by NewsRx editor s, research stated, “While Generative Adversarial Networks (GAN) arepopular for their higher sample quality as opposed to other generative models like Variatio nal Autoencoders(VAE) and Boltzmann machines, it is still difficult to evaluate their overall performance.”

    Data on Diabetes Mellitus Reported by Wei Mo and Colleagues (Feature selection a nd risk prediction for diabetic patients with ketoacidosis based on MIMIC-IV)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - Diabetes Mellitusis the subject of a report. Acco rding to news reporting originating from Guangzhou, People’s Republicof China, by NewsRx correspondents, research stated, “Diabetic ketoacidosis (DKA) is a fre quent acutecomplication of diabetes mellitus (DM). It develops quickly, produce s severe symptoms, and greatly affectsthe lives and health of individuals with DM.This article utilizes machine learning methods to examine thebaseline charac teristics that significantly contribute to the development of DKA.”

    Researchers from Beijing Normal University Describe Findings in Machine Learning (Significant Impact of Defect Fluctuation On Charge Dynamics In Cspbi3: a Study Combining Machine Learning With Quantum Dynamics)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting outof Beijing, People’s Republic of C hina, by NewsRx editors, research stated, “In this study, we developeda machine -learned force field for CsPbI3 using a neural network potential, enabling molec ular dynamicssimulations (MD) with ab initio accuracy over nanoseconds. This ap proach, combined with ab initio MDand nonadiabatic MD, was used to study the ch arge trapping and recombination dynamics in both pristineand defective CsPbI3.”