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    Studies from University of Paris Saclay Add New Findings in the Area of Machine Learning (Visualizing and Comparing Machine Learning Predictions To Improve Huma n-ai Teaming On the Example of Cell Lineage)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Palaiseau, France, by NewsRx journalists, research stated, “We visualize the predictions ofmultiple machine learning models to help biologists as they interactively make decisions about cell lineagethedevelopment of a (plant) embryo from a single ovum cell. Based on a confocal microscopy dataset,traditionally biologists manually constr ucted the cell lineage, starting from this observation and reasoningbackward in time to establish their inheritance.”

    Study Findings on Machine Learning Discussed by Researchers at University of Tab riz (Advancing State of Charge Management in Electric Vehicles With Machine Lear ning: A Technological Review)

    78-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from Tabriz, Iran, by NewsRx correspondents, research stated, “As the share ofelectric vehi cles increases, electric vehicles are exposed to broader of driving conditions ( e.g., extremeweather), which reduce the performance and driving ranges of elect ric vehicles below their nameplaterating. To ensure customer confidence and sup port steady growth in electric vehicle adoption rates,accurate estimation of ba ttery state of charge and maintaining battery state of health through optimal charge/discharge decisions are critical.”

    Reports Outline Computational Intelligence Study Findings from Chiba University (Estimation of Different Reward Functions Latent in Trajectory Data)

    79-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on computational intelligen ce are presented in a new report. Accordingto news reporting originating from C hiba, Japan, by NewsRx correspondents, research stated, “In recentyears, invers e reinforcement learning has attracted attention as a method for estimating the intention ofactions using the trajectories of various action-taking agents, inc luding human flow data.”

    University of Kerala Researchers Highlight Research in Machine Learning (Graph e mbedding approaches for social media sentiment analysis with model explanation)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from Thiruva nanthapuram, India, by NewsRx correspondents, research stated, “Chat-GPT, the rev olutionary chat agent launched in November 2022, is still an active topic of dis cussion amongtechnology enthusiasts.”

    Studies from Czech Technical University Further Understanding of Robotics and Au tomation (Ctopprm: Clustering Topological Prm for Planning Multiple Distinct Pat hs In 3d Environments)

    80-81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 - Robotics and Automation is now available. According tonews reporting from Prague, Czech Rep ublic, by NewsRx journalists, research stated, “In this letter, wepropose a new method called Clustering Topological PRM (CTopPRM) for finding multiple topolog icallydistinct paths in 3D cluttered environments. Finding such distinct paths, e.g., going around an obstaclefrom a different side, is useful in many applica tions.”

    Research from Federal University of Parana Has Provided New Study Findings on Ma chine Learning [Machine Learning (In) Security: A Stream of P roblems]

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Atlanta, United States, by NewsRx journalists, research stated, “Machine Learning (ML) has beenwidely a pplied to cybersecurity and is considered state-of-the-art for solving many of t he open issues inthat field.”

    New Support Vector Machines Study Findings Have Been Reported by Researchers at QILU University of Technology (Lssvm-cc: Ensemble Algorithm of Color Constancy U sing Least Square Support Vector Machine)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Support Vector Machines have bee n presented. According to news reportingoriginating in Jinan, People’s Republic of China, by NewsRx journalists, research stated, “Color constancy(CC) refers to the ability to reproduce the veritable color of objects by eliminating the in fluence ofenvironmental illumination. The performance of CC has been greatly bo osted by advanced learning-basedmethods, such as deep neural networks.”

    Research Results from Chinese Academy of Sciences Update Knowledge of Robotics [A Regional Aerosol Model for the Oceanic Area around Eastern China Based on Aero sol Robotic Network (AERONET)]

    83-84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 new report. According to news originatingfrom Hefei, People’s Republic o f China, by NewsRx editors, the research stated, “A regional aerosol modelcan c omplement globally averaged models and improve the accuracy of atmospheric numer ical models inlocal applications.”

    Findings in Robotics Reported from Hunan University (Robotic Continuous Grasping System By Shape Transformer-guided Multiobject Category-level 6-d Pose Estimati on)

    84-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Changsha, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Robotic gr asping is one of the key functions for realizing industrial automation and human -machine interaction. However, current robotic grasping methods for unknown obje cts mainly focus ongenerating the 6-D grasp poses, which cannot obtain rich obj ect pose information and are not robust inchallenging scenes.”

    New Findings from University of Milano Bicocca in the Area of Machine Learning D escribed (Fair and Green Hyperparameter Optimization Via Multi-objective and Mul tiple Information Source Bayesian Optimization)

    85-86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 Milan, Italy, by NewsRx cor respondents, research stated, “It has been recently remarked that focusingonly on accuracy in searching for optimal Machine Learning models amplifies biases co ntained in the data,leading to unfair predictions and decision supports. Recent ly, multi-objective hyperparameter optimizationhas been proposed to search for Machine Learning models which offer equally Pareto-efficient trade-offsbetween accuracy and fairness.”