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    Investigators from Wadia Institute of Himalayan Geology Report New Data on Machi ne Learning (Machine Learning Assisted Model Based Petrographic Classification: a Case Study From Bokaro Coal Field)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Uttarakhand, India, by NewsRx correspondents, research stated, “This study applies machine learning techniques to improve petrographic classification in India’s Bokaro coalfield’s Barakar Formation, using conventional geophysical well logs from three wells. W e analysed natural gamma ray, true resistivity, bulk density, neutron porosity, and photoelectric factor data using k-nearest neighbor (kNN), support vector mac hine (SVM) and random forest (RF) classifiers.”

    Study Data from Max-Planck-Institute for Human Development Provide New Insights into Artificial Intelligence [Corrupted By Algorithms? How Ai -generated and Human-written Advice Shape (Dis)Honesty]

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Artificial Intelli gence. According to news originating from Berlin, Germany, by NewsRx corresponde nts, research stated, “Artificial intelligence increasingly becomes an indispens able advisor. New ethical concerns arise if artificial intelligence persuades pe ople to behave dishonestly.” Financial supporters for this research include German Research Foundation (DFG), European Research Council (ERC), Chamber of Commerce and Industry (IHK) Koblenz.

    Research Findings from School of Computer Science and Engineering Update Underst anding of Artificial Intelligence (Enhanced Optimization Model for Inverter Shor t Circuit Prediction Using Machine Learning Techniques)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from the School of Computer S cience and Engineering by NewsRx journalists, research stated, “Short circuits a re common faults that occur in inverters, which can lead to device damage, safet y hazards, and downtime.”

    National University of Singapore Reports Findings in Cancer (Machine learning op timized DriverDetect software for high precision prediction of deleterious mutat ions in human cancers)

    105-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cancer is the subject of a report. According to news reporting out of Singapore, Singapore, by NewsRx editors, research stated, “The detection of cancer-driving mutations is importan t for understanding cancer pathology and therapeutics development. Prediction to ols have been created to streamline the computation process.”

    Researchers at Aalto University Report New Data on Machine Learning (Comparison of the Efficiency of B-o and B-c Bond Formation Pathways In Borane-catalyzed Car bene Transfer Reactions Using A-diazocarbonyl Precursors: a Combined Density ... )

    106-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Espoo, Finland, by Ne wsRx correspondents, research stated, “Lewis acidic boranes, especially tris(pen tafluorophenyl)borane [B(C6F5)(3)], have e merged as metal-free catalysts for carbene transfer reactions of alpha-diazocarb onyl compounds in a variety of functionalization reactions. The established mech anism for how borane facilitates carbene generation for these compounds in the s cientific community is based on the formation of a B-O (C & boxH;O ) intermediate (path O).” Financial supporters for this research include European Union-NextGenerationEU i nstrument, Research Council of Finland, Finland CSC-IT Center.

    Research from National University of Defense Technology in the Area of Robotics Described (Hydrodynamic Simulation and Experiment of a Self-Adaptive Amphibious Robot Driven by Tracks and Bionic Fins)

    107-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Amphibious robots ha ve broad prospects in the fields of industry, defense, and transportation. To im prove the propulsion performance and reduce operation complexity, a novel bionic amphibious robot, namely AmphiFinbot-II, is presented in this paper.”

    Sapienza University of Rome Reports Findings in Science (Efficient microplastic identification by hyperspectral imaging: A comparative study of spatial resoluti ons, spectral ranges and classification models to define an optimal analytical . ..)

    108-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Science is the subject of a report. According to news reporting out of Rome, Italy, by NewsRx editors, research stated, “Microplastics (MPs) pollution is a global and challenging iss ue, necessitating the development of efficient analytical strategies for their d etection to monitor their environmental impact. This study aims to define an opt imal analytical protocol for characterizing MPs by hyperspectral imaging (HSI), comparing different setups based on spatial resolution, spectral range and class ification models.”

    New Robotics Findings Reported from Peking University (Deadlock Resolution and R ecursive Feasibility In Mpc-based Multirobot Trajectory Generation)

    109-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Online collision-free trajectory gen eration within a shared workspace is fundamental for most multirobot application s. However, many widely-used methods based on model predictive control (MPC) lac k theoretical guarantees on the feasibility of underlying optimization.” Funders for this research include National Science and Technology Major Project, National Natural Science Foundation of China (NSFC).

    Duke-National University of Singapore Medical School Researchers Have Published New Data on Machine Learning (Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare)

    110-110页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Duke-National University of Singapore Medical School by NewsRx editors, research stated, “Mach ine learning (ML) has achieved substantial success in performing healthcare task s in which the configuration of every part of the ML pipeline relies heavily on technical knowledge. To help professionals with borderline expertise to better u se ML techniques, Automated ML (AutoML) has emerged as a prospective solution.”

    Sanming University Reports Findings in Machine Learning (Quantification of uncer tainty in short-term tropospheric column density risks for a wide range of carbo n monoxide)

    111-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Sanming, Peopl e’s Republic of China, by NewsRx journalists, research stated, “The short-term r isks associated with atmospheric trace gases, particularly carbon monoxide (CO), are critical for ecological security and human health. Traditional statistical methods, which still dominate the assessment of these risks, limit the potential for enhanced accuracy and reliability.”