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    National Research Council Reports Findings in Artificial Intelligence (Artificia l intelligence and real decisions: predictive systems and generative AI vs. emot ive-cognitive legal deliberations)

    20-20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 tonews originating from Bologna, Italy, by NewsRx correspondents, research stated, “The use of artificialintelligence in law represents one of the biggest challenges across different legal systems. Supporters ofpredictive systems believe that decisionmaking could be more effic ient, consistent and predictable by usingAI.”

    Findings from Capital University of Economics and Business Reveals New Findings on Robotics (Industrial Robots and Corporate Risktaking Value)

    21-22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 reportingfrom Beijing, People’s Republic of Ch ina, by NewsRx journalists, research stated, “This paper empiricallyexamines th e impact of industrial robot application on corporate risktaking value using dat a from ChineseA-share listed manufacturing companies, measured by the Sharpe ra tio.”

    Investigators from University of Alabama Zero in on Robotics (Geometric Static M odeling Framework for Piecewise-continuous Curved-link Multi Point-of-contact Te nsegrity Robots)

    22-23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 fromTuscaloosa, Alabama, by NewsRx journali sts, research stated, “Tensegrities synergistically combine tensile(cable) and rigid (link) elements to achieve structural integrity, making them lightweight, packable, andimpact resistant. Consequently, they have high potential for locom otion in unstructured environments.”

    Studies from Guangxi University Have Provided New Data on Machine Learning (Mult i-objective Optimization of Structural Parameters of Scr System Under Eley-ridea l Reaction Mechanism Based On Machine Learning Coupled With Response Surface ... )

    23-24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 news originatingfrom Nanning, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Selectivecatalytic reduction (SCR) is an important method to control nitrogen oxides (NOx) emission s from dieselengines. Excellent SCR structural parameters are the key to effect ively reduce NOx and back pressure.”

    Brno University of Technology Researchers Update Understanding of Machine Learni ng (Speech production under stress for machine learning: multimodal dataset of 7 9 cases and 8 signals)

    24-25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 new report. According to newsreporting out of Brno Univer sity of Technology by NewsRx editors, research stated, “Early identificationof cognitive or physical overload is critical in fields where human decision making matters when preventingthreats to safety and property.”

    Recent Studies from Sun Yat-sen University Add New Data to Machine Learning (Sca lable Rapid Framework for Evaluating Network Worst Robustness With Machine Learn ing)

    25-26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 news reportingfrom Guangzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “Robustnessis pivotal f or comprehending, designing, optimizing, and rehabilitating networks, with simul ation attacksbeing the prevailing evaluation method. Simulation attacks are oft en time-consuming or even impractical;however, a more crucial yet persistently overlooked drawback is that any attack strategy merely providesa potential para digm of disintegration.”

    Study Results from Nanjing University Broaden Understanding of Machine Learning (Rts: Learning Robustly From Time Series Data With Noisy Label)

    26-26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 in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Significant pr ogress has been made in machine learning with large amounts of clean labels and staticdata. However, in many real-world applications, the data often changes wi th time and it is difficult toobtain massive clean annotations, that is, noisy labels and time series are faced simultaneously.”

    Linyi University Reports Findings in Machine Learning (Enhancing the accuracy of blood-glucose tests by upgrading FTIR with multiple-reflections, quantum cascad e laser, two-dimensional correlation spectroscopy and machine learning)

    27-27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 out of Shandong, People’s Rep ublic of China, by NewsRx editors, research stated, “The accuracyof screening d iabetes from non-diabetes is drastically enhanced by strategically upgrading the benchmarkinginfrared spectroscopy technique for non-invasive tests of blood-g lucose, both with state-of-theartinstrumentation-retrofits and with intelligen t spectral-datamining tools. First, the signal-to-noiseperformance of FTIR in m easuring the spectral features of a glucose solution containing bovine serum albumin is improved by 2-3 times with the common single-pass attenuated total-refle ction setup replaced bya multi-passes-reflections setup.”

    Report Summarizes Machine Learning Study Findings from Beijing Jiaotong Universi ty (Machine Learning-driven Precise Design of Stable Oled Materials: Predicting and Enhancing Multi-state C-n Bond Dissociation Energies)

    28-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, researchstated, “The intrinsic stability of organic light-emitting diode (OLED) materials critically hinges on thebond dissociation energies (BDEs) of fragile bonds, particularly C-N bonds. Despite the necessity ofconsidering BDEs in multiple electronic stat es due to the complex working conditions of organic materialsin OLED devices, c omprehensive exploration remains challenging.”

    University of Warwick Reports Findings in Machine Learning (Transparent Machine Learning Model to Understand Drug Permeability through the Blood-Brain Barrier)

    29-30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 Coventry, United Kingdom , by NewsRx journalists, research stated, “The blood-brainbarrier (BBB) selecti vely regulates the passage of chemical compounds into and out of the central nervous system (CNS). As such, understanding the permeability of drug molecules thr ough the BBB is keyto treating neurological diseases and evaluating the respons e of the CNS to medical treatments.”