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    Universidade Federal do Ceara Researchers Yield New Data on Artificial Intellige nce (Democracy out-of-the-box: analysis of compliance with constitutional princi ples in tax policies that use Artificial Intelligence)

    49-49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 artificial intelligence. According to news originatingfrom the Universidade Fed eral do Ceara by NewsRx editors, the research stated, “The Democratic Stateof L aw emerged with the objective of improving everyone’s life, restricting the powe r of tyrants, who,among other arbitrary acts, unfairly taxed the people. While taxes remain crucial for the State’s upkeep,modern rules prevent individuals fr om enduring excessive burdens.”

    Ohio University Reports Findings in Machine Learning (Understanding Defects in A morphous Silicon with Million-Atom Simulations and Machine Learning)

    50-50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 Ohio, United States, b y NewsRx correspondents, research stated, “The structure ofamorphous silicon (a -Si) is widely thought of as a fourfold-connected random network, and yet it isdefective atoms, with fewer or more than four bonds, that make it particularly i nteresting. Despite manyattempts to explain such ‘dangling-bond’ and ‘floating- bond’ defects, respectively, a unified understandingis still missing.”

    Studies from Peking University Further Understanding of Robotics (Multimodal Sof t Amphibious Robots Using Simple Plastic-sheetreinforced Thin Pneumatic Actuato rs)

    51-51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 reporting outof Beijing, People’s Republic o f China, by NewsRx editors, research stated, “A large challenge in the fieldof soft amphibiousrobotics is achieving high maneuverability and multiterrain adapt -ability through multimodallocomotion in hybrid terrestrial-aquatic environment s. To address this issue, drawing inspirationfrom fruit-fly larvae and Spanish dancer sea slugs, a novel tethered soft amphibious robot with multimodallocomot ion is pro-posed in this article, performing forward, backward, turning, and sel f-overturn motionsboth on land and in water.”

    Researchers from Aix-Marseille University Report Findings in Machine Learning (S earch for New Phenomena In Two-body Invariant Mass Distributions Using Unsupervi sed Machine Learning for Anomaly Detection At P S=13 Tev Ffi With the Atlas Dete ctor)

    52-60页
    查看更多>>摘要:The news reporters obtained a quote from the research from Aix-Marseille Univers ity, “The approachinvolves training an autoencoder on data, and subsequently de fining anomalous regions based on thereconstruction loss of the decoder. Studie s focus on nine invariant mass spectra that contain pairs ofobjects consisting of one light jet or b jet and either one lepton (e; mu), photon, or second light jet or bjet in the anomalous regions. No significant deviations from the backg round hypotheses are observed.”

    Oscar Lambret Cancer Center Reports Findings in Robotics (The Influence of Surgi cal Complexity and Center Experience on Postoperative Morbidity After Minimally Invasive Surgery in Gynecologic Oncology: Lessons Learned from the ROBOGYN-1004 Trial)

    60-61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 reportingout of Lille, France, by NewsRx edito rs, research stated, “This study was a secondary analysis of theROBOGYN-1004 tr ial conducted between 2010 and 2015. The study aimed to identify factors that af fectpostoperative morbidity after either robot-assisted laparoscopy (RL) or con ventional laparoscopy (CL) ingynecologic oncology.”Financial support for this research came from Institut National Du Cancer.

    Research Data from Xiamen University of Technology Update Understanding of Machi ne Learning (Deep Learning for Financial Time Series Prediction: a State-of-the- art Review of Standalone and Hybrid Models)

    61-62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 reportingout of Xiamen, People’s Republic of China, by NewsRx editors, research stated, “Financial time seriesprediction, wh ether for classification or regression, has been a heated research topic over th e last decade.While traditional machine learning algorithms have experienced me diocre results, deep learning has largelycontributed to the elevation of the pr ediction performance.”

    New Robotics Data Have Been Reported by Investigators at Beijing Normal Universi ty (Paraffin-enabled Superlattice Customization for a Photostimulated Gradient-r esponsive Artificial Reflex Arc)

    62-63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 Ro botics. According to news reporting from Beijing,People’s Republic of China, by NewsRx journalists, research stated, “The development of photostimulatedmotionartificial reflex arcs - a neural circuit inspired by light-driven motion refle xes - holds significantpromises for advancements in robotic perception, navigat ion, and motion control. However, the fabricationof such systems, especially th ose that accommodate multiple actions and exhibit gradient responses,remains ch allenging.”

    Studies from National University of Science and Technology Update Current Data o n Machine Learning (Machine Learning-Based Prediction of Elastic Properties Usin g Reduced Datasets of Accurate Calculations Results)

    63-64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 reportingout of Moscow, Russia, by NewsRx e ditors, research stated, “In this paper, the applicability of machinelearning f or predicting the elastic properties of binary and ternary bcc Ti and Zr disorde red alloys with34 different doping elements is explored.”

    Studies from University of Putra Malaysia Have Provided New Data on Machine Lear ning (Comprehensive Review of Drones Collision Avoidance Schemes: Challenges and Open Issues)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news originating from Serdang,Malaysia, by NewsRx correspondents, research stated, “In the contemporary landscape, the escalatingdeployment of dr ones across diverse industries has ushered in a consequential concern, including ensuringthe security of drone operations. This concern extends to a spectrum o f challenges, encompassing collisionswith stationary and mobile obstacles and e ncounters with other drones.”

    New Machine Learning Study Findings Have Been Reported by Researchers at Nanjing University (Predicting High-resolution Air Quality Using Machine Learning: Inte gration of Large Eddy Simulation and Urban Morphology Data)

    65-66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 in Jiangsu, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Accurately predi cting air pollutants, especially in urban areas with well-defined spatial struct ures, iscrucial. Over the past decade, machine learning techniques have been wi dely used to forecast urban airquality.”