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    Findings on Computational Intelligence Discussed by Investigators at Vrije Unive rsiteit Brussel (VUB) (Gf-lrp: a Method for Explaining Predictions Made By Varia tional Graph Auto-encoders)

    11-12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 - Com putational Intelligence is the subject ofa report. According to news originatin g from Brussels, Belgium, by NewsRx correspondents, researchstated, “Variationa l graph autoencoders (VGAEs) combine the best of graph convolutional networks (GCNs) and variational inference and have been used to address various tasks such as node classificationor link prediction. However, the lack of explainability i s a limiting factor when trustworthy decisions arerequired.”

    Universitas Krisnadwipayana Researchers Describe Findings in Machine Learning (E nhancing Ulos Batik Pattern Recognition through Machine Learning: A Study with K NN and SVM)

    11-11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 tonews originating from the Universit as Krisnadwipayana by NewsRx correspondents, research stated, “Thisresearch aim s to develop an automated classification system to accurately identify and class ify Ulos batikpatterns using K-Nearest Neighbors (K-NN) and Support Vector Mach ine (SVM) techniques.”

    Research from University of Sydney in Robotics Provides New Insights (Therblig t o Robot)

    12-13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 reporting originatingfrom the University of Sydney b y NewsRx correspondents, research stated, “Industrial robotic armscommonly requ ire specialist knowledge for machine functions.”

    Syracuse University Reports Findings in Machine Learning (Machine Learning Appro ach to Vertical Energy Gap in Redox Processes)

    13-14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 Syracuse, New York, by N ewsRx journalists, research stated, “A straightforward approachto calculating t he free energy change (D) and reorganization energy of a redox process is linear responseapproximation (LRA). However, accurate prediction of redox properties is still challenging due to difficultiesin conformational sampling and vertical energy-gap sampling.”

    Reports Summarize Robotics Study Results from Shanxi University (Design and Cont rol of a New Pneumatic Quadruped Soft Robot Based on Honeycomb Structure)

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news originatingfrom Shanxi, People’s Republic of China, by NewsRx correspondents, research stated, “Inspired by theflexible stru cture of soft organisms, many researchers have developed different new soft robo ts usingvarious flexible materials. Compared with traditional rigid robots, sof t robots have a small mass, a highdegree of freedom, good flexibility, and high safety of human-computer interaction.”

    Nanyang Normal University Researchers Update Understanding of Machine Learning ( A Study of Measurement Modeling of Decision Trees in Machine Learning Processes)

    15-15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 originatingfrom Henan, People’s Republic of China, by NewsRx correspondents, research stated, “Accompanied bythe rapid dev elopment of economy and science and technology, the ordinary measurement model w ith asingle method of parameter determination and accuracy is not guaranteed, w hich has made it difficult toadapt to the measurement needs of complex data in industrial engineering and other systems.”

    Findings from Harbin Institute of Technology in the Area of Machine Learning Des cribed (Optimizing Asphalt Mix Design Through Predicting Volumetric Properties U sing Interpretable Machine Learning)

    16-17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 Machine Learning. According to news reporting originatingfrom Harbin, People’s Republi c of China, by NewsRx correspondents, research stated, “Traditionalasphalt mix design methods primarily rely on experience, consuming immense time and resource s. Currently,advanced machine learning (ML) method can accelerate the asphalt m ix design procedure.”

    New Machine Learning Study Findings Reported from Northeastern University (A mac hine learning-based model for stroke prediction)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Shenyang, Peop le’s Republic of China, by NewsRx editors, research stated, “In recentyears, ma chine learning has highlighted good results in the early diagnosis and predictio n of diseases.Stroke is a serious threat to human health.”

    Study Data from Brigham Young University Update Understanding of Machine Learnin g (Optimization of Passive Modular Molten Salt Microreactor Geometric Perturbati ons Using Machine Learning)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originating in Provo, Utah, by NewsRx journalis ts, research stated, “Nuclear reactors are vital to the global economydue to th e large amounts of baseload power they can provide with minimal intermittence. H owever, thesereactors are extremely complicated to design and build.”

    Reports Summarize Machine Learning Findings from Lawrence Berkeley National Labo ratory (Toward Practical Superconducting Accelerators for Machine Learning Using U-sfq)

    19-19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 Machine Learning. According to news reporting originatingfrom Berkeley, California, by NewsRx correspondents, research stated, “Most popular superconductingcircuits operate on information carried by ps-wide, mu V-tall, single flux quantum (SFQ) pulses. Thesecircuits can operate at frequencies of hundreds of GHz with orders of magnitude lower switching energythan complementary-metal-oxide-semiconducto rs (CMOS).”