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    Investigators from Nankai University Zero in on Artificial Intelligence (The Fut ure of Material Scientists In an Age of Artificial Intelligence)

    28-29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 reporting fromTianjin, People’s Republic of China, by NewsRx journalists, research stated, “Material science has historically evolved in tandem with advancements in technologies for characterization, syn thesis, and computation.Another type of technology to add to this mix is machin e learning (ML) and artificial intelligence (AI).”

    University of Science and Technology China Details Findings in Machine Learning (Quantum Anomaly Detection With a Spin Processor In Diamond)

    29-30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 reportingfrom Hefei, People’s Republic of C hina, by NewsRx journalists, research stated, “In the processing ofquantum comp utation, analyzing and learning the pattern of the quantum data are essential fo r manytasks. Quantum machine learning algorithms cannot only deal with the quan tum states generated in thepreceding quantum procedures, but also the quantum r egisters encoding classical problems.”

    Reports from National School of Applied Sciences Describe Recent Advances in Mac hine Learning (Erabqs: Entity Resolution Based On Active Machine Learning and Ba lancing Query Strategy)

    30-31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 Khouribga, Morocco, by N ewsRx journalists, research stated, “Entity Resolution (ER) isa crucial process in the field of data management and integration. The primary goal of ER is to i dentifydifferent profiles (or records) that refer to the same real-world entity across databases.”

    New Machine Learning Study Results from University of Nebraska at Omaha Described (Fairness in Machine Learning: A Survey)

    31-32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 Wien, Austria, by NewsRx journalists, research stated, “When Machine Learning technologies areused in c ontexts that affect citizens, companies as well as researchers need to be confid ent that therewill not be any unexpected social implications, such as bias towa rds gender, ethnicity, and/or people withdisabilities.”

    Polytechnic University Torino Reports Findings in Machine Learning(Machine lear ning approaches to predict TAS2R receptors for bitterants)

    32-33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 Turin, Italy, by NewsR x editors, research stated, “Bitter taste involves the detection ofdiverse chem ical compounds by a family of G protein-coupled receptors, known as taste recept or type2 (TAS2R). It is often linked to toxins and harmful compounds and in par ticular bitter taste receptorsparticipate in the regulation of glucose homeosta sis, modulation of immune and inflammatory responses,and may have implications for various diseases.”

    New Robotics Study Findings Have Been Reported by Researchersat National Univer sity of Singapore (I Get the Hang of It! A Learning-free Method To Predict Hangi ng Poses for Previously Unseen Objects)

    33-33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 originatingin Singapore, Singapore, by News Rx journalists, research stated, “The action of hanging previously unseenobject s remains a challenge for robots due to the multitude of object shapes and the l imited number ofstable hanging arrangements. This paper proposes a learning-fre e framework that enables robots to inferstable relative poses between the objec t being hung (object) and the supporting item (supporter).”

    Findings in the Area of Robotics Reported from Zhejiang University (Design and A nalysis of Positioning Sensor Cable for Deep-sea Stratum Drilling Robot)

    34-34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 outof Zhoushan, People’s Republic of China, by NewsRx editors, research stated, “Subsea stratum is richin natural gas hydr ates. The subsea resources are gradually becoming the focus of exploration and development.”

    University of Cologne Reports Findings in Machine Learning (Investigating lexical categorization in reading based on joint diagnostic and training approaches for language learners)

    35-35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 Cologne, Germa ny, by NewsRx journalists, research stated, “Efficient reading isessential for societal participation, so reading proficiency is a central educational goal. He re, we use anindividualized diagnostics and training framework to investigate p rocesses in visual word recognition andevaluate its usefulness for detecting tr aining responders.”

    University College Cork Reports Findings in Machine Learning (Machine learning f or high solid anaerobic digestion: Performance prediction and optimization)

    36-36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 Cork, Ireland, by NewsRx journalists, research stated, “Biogas production throughanaerobic di gestion (AD) is one of the complex non-linear biological processes, wherein unde rstanding itsdynamics plays a crucial role towards process control and optimiza tion. In this work, a machine learningbased biogas predictive model was develop ed for high solid systems using algorithms, including SVM, ET,DT, GPR, and KNN and two different datasets (Dataset-1:10, Dataset-2:5 inputs).”

    Peking Union Medical College Hospital Reports Findings in MachineLearning [Machine learning approach for predicting post-intubationhemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety]

    36-37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 news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Adequatepreoperative eval uation of the post-intubation hemodynamic instability (PIHI) is crucial for accu rate riskassessment and efficient anesthesia management. However, the incorpora tion of this evaluation within apredictive framework have been insufficiently a ddressed and executed.”