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    New Machine Learning Data Have Been Reported by Researchers at University of Mar yland (Hydrogen Bonding Inside Anionic Polymeric Brush Layer: Machine Learning-d riven Exploration of the Relative Roles of the Polymer Steric Effect, Charging, and ...)

    38-39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 College Park, Maryl and, by NewsRx correspondents, research stated, “This paper employs a combinatio n of all-atom molecular dynamics (MD) simulations and unsupervised machine learn ing (ML) for studying the water-water hydrogen bonds (HBs) inside the anionic po ly acrylic acid (PAA) brushes modeled using all-atom MD simulations. PAA brush l ayer with different charge fraction (f), namely, f = 0, 0.25, and 1, is consider ed.” Funders for this research include United States Department of Energy (DOE), Unit ed States Department of Energy (DOE).

    Study Data from Swiss Federal Institute of Technology Update Knowledge of Roboti cs (Barry: a High-payload and Agile Quadruped Robot)

    39-40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 Ro botics. According to news reporting originating in Zurich, Switzerland, by NewsR x journalists, research stated, “This letter introduces Barry, a dynamically bal ancing quadruped robot optimized for high payload capabilities and efficiency. I t presents a new hightorque and low-inertia leg design, which includes custom-b uilt high-efficiency actuators and transparent, sensorless transmissions.” Financial support for this research came from European Space Agency.

    China Aerodynamics Research & Developmental Center Details Finding s in Robotics (Passivity-based Trajectory Tracking and Formation Control of Nonh olonomic Wheeled Robots Without Velocity Measurements)

    40-41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 Ro botics. According to news reporting originating in Sichuan, People’s Republic of China, by NewsRx journalists, research stated, “This note proposes a passivity- based control method for trajectory tracking and formation control of nonholonom ic wheeled robots without velocity measurements. Coordinate transformations are used to incorporate the nonholonomic constraints, which are then avoided by cont rolling the front end of the robot rather than the center of the wheel axle into the differential equations.” Financial support for this research came from Xi#x0027;an Jiaotong University.

    Prince Sattam Bin Abdulaziz University Researcher Has Provided New Study Finding s on Artificial Intelligence (Exploring the nexus of artificial intelligence in talent acquisition: Unravelling costbenefit dynamics, seizing opportunities, and ...)

    41-42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 artificial intell igence are discussed in a new report. According to news reporting originating fr om Prince Sattam Bin Abdulaziz University by NewsRx correspondents, research sta ted, “The rise in talent management complications led organizations to rely on t he latest technologies to automate their routine HRM tasks through AI.”

    Reports from Nanjing University of Posts and Telecommunications Highlight Recent Findings in Computational Intelligence (Exploitation Maximization of Unlabeled Data for Federated Semi-supervised Learning)

    42-42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 - Com putational Intelligence is the subject of a report. According to news reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Federated learning (FL), as an emerging paradigm in edge intel ligence, enables numerous edge devices to collaborate with a central server in t raining a shared model without compromising data privacy. Existing FL algorithms mostly focus on addressing the problem of non-independently and identically dis tributed (Non-IID) data in supervised scenarios.”

    Zhejiang University Reports Findings in Machine Learning (Predicting thermal des orption efficiency of PAHs in contaminated sites based on an optimized machine learning approach)

    43-43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 from Zhejiang, People’s Repub lic of China, by NewsRx journalists, research stated, “Thermal desorption (TD) r emediation of polycyclic aromatic hydrocarbon (PAH)-contaminated sites is known for its high energy consumption and cost implications. The key to solving this i ssue lies in analyzing the PAHs desorption process, defining remediation endpoin ts, and developing prediction models to prevent excessive remediation.”

    New Study Findings from Chinese Academy of Sciences Illuminate Research in Machi ne Learning (Prediction of the Unconfined Compressive Strength of Salinized Froz en Soil Based on Machine Learning)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Lanzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Unconfined compress ive strength (UCS) is an important parameter of rock and soil mechanical behavio r in foundation engineering design and construction. In this study, salinized fr ozen soil is selected as the research object, and soil GDS tests, ultrasonic tes ts, and scanning electron microscopy (SEM) tests are conducted.” Funders for this research include Independent Project of The State Key Laborator y of Frozen Soil Engineering.

    Southern Medical University Reports Findings in Bioinformatics (Lysosome-related biomarkers in preeclampsia and cancers: Machine learning and bioinformatics ana lysis)

    45-46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 Biotechnology - Bioinf ormatics is the subject of a report. According to news originating from Guangdon g, People’s Republic of China, by NewsRx correspondents, research stated, “Lysos omes serve as regulatory hubs, and play a pivotal role in human diseases. Howeve r, the precise functions and mechanisms of action of lysosome-related genes rema in unclear in preeclampsia and cancers.”

    Study Findings from National Institute of Technology Provide New Insights into M achine Learning (Rough Set-based Machine Learning for Prediction of Biochar Prop erties Produced Through Microwave Pyrolysis)

    46-47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 from Odisha, India, by NewsRx journa lists, research stated, “Biochar, a carbon-rich compound, has a plethora of appl ications being explored in soil improvement, wastewater treatment, catalysis, an d more. It is produced through pyrolysis process involving biomass carbonization in limited oxygen using conventional or microwave heating.” Financial supporters for this research include The author thanks the Department of Biotechnology and Medical Engineering of the National Institute of Technology Rourkela for providing the research facility. The author greatly acknowledges t he Ministry of Human Resource Development, Government of India, Department of Bi otechnology and Medical Engineering of the National Institute of Technology Rour kela, Ministry of Human Resource Development (MHRD), Government of India.

    New Findings from Ningbo University in the Area of Computational Intelligence Re ported (Spatio-temporal Feature Integration for Quality Assessment of Stitched O mnidirectional Images)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Ningbo, People’s Republic of China, by NewsRx editors, research stated, “Stitched omnidirectional images are created by capturing overlapping images an d seamlessly merging them together. When observing stitched omnidirectional imag es, users wear head-mounted display that encompass their entire visual field and are positioned near the eyes.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).