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    New Findings Reported from Massachusetts Institute of Technology Describe Advanc es in Machine Learning (Reproducing Reaction Mechanisms With Machine-learning Mo dels Trained On a Largescale Mechanistic Dataset)

    1-2页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Cambridge, Massachusetts, by News Rx correspondents, research stated, “Mechanistic understanding of organic reacti ons can facilitate reaction development, impurity prediction, and in principle, reaction discovery. While several machine learning models have sought to address the task of predicting reaction products, their extension to predicting reactio n mechanisms has been impeded by the lack of a corresponding mechanistic dataset .” Financial supporters for this research include Machine Learning for Pharmaceutic al Discovery and Synthesis consortium, National Science Foundation (NSF).
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    Study Findings from Chongqing University Broaden Understanding of Artificial Int elligence (Publication, Collaboration, Citation Performance, and Triple Helix In novation Gene of Artificial Intelligence Research In the Communication Field: .. .)

    2-2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 reporting originating in Chongqing, P eople’s Republic of China, by NewsRx journalists, research stated, “Artificial i ntelligence (AI) in the communication field has become increasingly popular in r ecent years. This study collected data from 482 documents and cited references i n the Web of Science database.” The news reporters obtained a quote from the research from Chongqing University, “It explores the knowledge structure related to AI in communication, combined w ith the triple helix innovation gene model. The analysis employed collaborative network analysis, two-mode network analysis, citation analysis, and quadratic as signment procedure-based correlation analysis. The results show that the most po pular hotspots are human-machine communication, automatically generated publicat ions, social media-mediated fake news, and some other AI-based applied research. Academic collaborations can be facilitated by transnational disciplinary leader s. China emerged as the core academic country with the greatest growth potential in Asia, while the core non-Asian country is the United States. In addition, th e trend in collaboration among scholars in Asia is better than in non-Asian coun tries. However, concerning the characteristics of collaborating institutions, th e triple-helix collaboration among universities, government bodies, and industri es remains insufficient.”
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    Research from Reutlingen University in Artificial Intelligence Provides New Insi ghts (Is artificial intelligence a hazardous technology? Economic trade-off mode l)

    3-3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 reporting originating from Reutlingen University by NewsRx correspondents, research stated, “Artificial intelligence (AI) demonstrates various opportunities and risks.” Financial supporters for this research include Hochschule Reutlingen / Reutlinge n University. The news correspondents obtained a quote from the research from Reutlingen Unive rsity: “Our study explores the trade-off of AI technology, including existential risks. We develop a theory and a Bayesian simulation model in order to explore what is at stake. The study reveals four tangible outcomes: (i) regulating exist ential risks has a boundary solution of either prohibiting the technology or all owing a laissez-faire regulation. (ii) the degree of ‘normal’ risks follows a tr ade-off and is dependent on AIintensity. (iii) we estimate the probability of ‘ normal’ risks to be between 0.002% to 0.006% over a century.”
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    New Myopia Data Have Been Reported by Researchers at Sun Yat-sen University (For ecasting Myopic Maculopathy Risk Over a Decade: Development and Validation of an Interpretable Machine Learning Algorithm)

    3-4页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Eye Diseases and Conditions - Myopia are discussed in a new report. According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research s tated, “P URPOSE. The purpose of this study was to develop and validate predicti on model for myopic macular degeneration (MMD) progression in patients with high myopia. M ETHODS.” Funders for this research include Hainan Province Clinical Medical Center, Natio nal Natural Science Foundation of China (NSFC), Global STEM Professorship Scheme
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    Studies from Autonomous University Madrid Yield New Information about Machine Le arning (Quantum Reservoir Complexity By the Krylov Evolution Approach)

    4-5页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Madrid, Spain, by NewsR x correspondents, research stated, “Quantum reservoir computing algorithms recen tly emerged as a standout approach in the development of successful methods for the noisy intermediate-scale quantum (NISQ) era because of its superb performanc e and compatibility with current quantum devices. By harnessing the properties a nd dynamics of a quantum system, quantum reservoir computing effectively uncover s hidden patterns in data.” Financial supporters for this research include La Caixa Foundation, Spanish Mini stry of Science, Innovation and Universities, Gobierno de Espana, Consejo Nacion al de Investigaciones Cientificas y Tecnicas (CONICET), UBACyT, ANPCyT, European Union (EU).
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    Researchers from University of Houston Provide Details of New Studies and Findin gs in the Area of Machine Learning (Characterizing Stalagmite Composition Using Hyperspectral Imaging)

    5-6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 in Houston, Texas, by Ne wsRx journalists, research stated, “Stalagmites offer nearly continuous records of past climate in continental settings at high temporal resolution. The climati c records preserved in stalagmites are commonly investigated by examining compos itional characteristics such as mineralogy, organic content, and lamination patt erns.” Financial supporters for this research include Department of Earth and Atmospher ic Sciences (EAS) , University of Houston (UH), UH-NRUF-National Research Univer sity Fund “NRUF FS 21 NSM”, Schlumberger, John Montagne Award of the Geological Society of America.
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    Studies from School of Economics and Management in the Area of Artificial Intell igence Described (Optimization strategy of property energy management based on a rtificial intelligence)

    6-7页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from the School of Economics and Management by NewsRx journalists, research stated, “This study focuses on the de sign and optimization of property energy management systems, aiming to improve e nergy efficiency, reduce waste, and enhance user comfort and satisfaction throug h intelligent means. The research background is based on the urgency of energy c onservation and emission reduction, and the rise of smart property management mo dels on a global scale, especially the increasing demand for energy efficiency m onitoring, predictive analysis, automated control, and user engagement.” Our news reporters obtained a quote from the research from School of Economics a nd Management: “To address the urgent need for energy conservation and emission reduction, particularly in the realm of property management, this study designed and optimized a property energy management system. The core of the research is a systematic energy management framework that encompasses efficient monitoring, intelligent predictive analytics using techniques such as Long Short-Term Memory (LSTM) networks for energy consumption forecasting, automated control, user-fri endly interfaces, and system safety. An empirical case study was conducted at a large-scale commercial complex, confirming the effectiveness of the system. Thro ugh intelligent transformation, specifically the optimization of air conditionin g and lighting systems using advanced technologies like frequency modulation and LED lighting, a total energy saving rate of 25 % was achieved. The annual economic savings exceeded 1.25 million yuan, and user satisfaction was s ignificantly improved. During the research process, several limitations and chal lenges were encountered, including data quality issues and scalability concerns. These limitations were addressed through rigorous data preprocessing and valida tion, ensuring the robustness of the findings and their applicability to similar environments. The results demonstrate the potential of integrating artificial i ntelligence and machine learning techniques into property energy management syst ems, paving the way for more sustainable and efficient buildings.”
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    New Computational Intelligence Study Findings Have Been Published by Researchers at Aligarh Muslim University (Review of Computational Intelligence Approaches f or Microgrid Energy Management)

    7-8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 computational int elligence are discussed in a new report. According to news reporting out of Alig arh, India, by NewsRx editors, research stated, “This research investigates impl ementing and optimizing microgrid energy management systems (EMS) utilizing arti ficial intelligence (AI). Inspired by the need for efficient resource utilizatio n and the limitations of traditional control methods, it addresses essential asp ects of microgrid design, such as cost-effectiveness, system capacity, power gen eration mix, and customer satisfaction.” Funders for this research include Taif University, Taif, Saudi Arabia. The news reporters obtained a quote from the research from Aligarh Muslim Univer sity: “The primary goals are to optimize energy management, control techniques, and AI applications in microgrids. The study critically examines the classificat ion of energy management systems, various EMS applications, and their associated challenges. Additionally, it discusses different optimization techniques releva nt to EMS, highlighting their applications, benefits, and challenges. The resear ch emphasizes the importance of hybrid systems, demand-side management, and ener gy storage in addressing the intermittency of renewable energy sources. AI techn iques, such as unsupervised learning (USL), supervised learning (SL), and semi-s upervised learning (SSL), are extensively analyzed in relation to their specific applications. The study explores AI-based hierarchical controls at primary, sec ondary, and tertiary levels. Furthermore, AI methods like deep learning for load forecasting and reinforcement learning for optimal control are emphasized for t heir substantial contributions to enhancing microgrid reliability and efficiency .”
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    Study Results from Federal Rural University of Pernambuco in the Area of Machine Learning Published (Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment)

    8-9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 Recife, Brazil, by NewsR x journalists, research stated, “Heat stress stands out as one of the main eleme nts linked to concerns related to animal thermal comfort.” Our news reporters obtained a quote from the research from Federal Rural Univers ity of Pernambuco: “This research aims to develop a sequential methodology for t he extraction of automatic characteristics from thermal images and the classific ation of heat stress in pigs by means of machine learning. Infrared images were obtained from 18 pigs housed in air-conditioned and non-air-conditioned pens. Th e image analysis consisted of its pre-processing, followed by color segmentation to isolate the region of interest and later the extraction of the animal’s surf ace temperatures, from a developed algorithm and later the recognition of the co mfort pattern through machine learning.”
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    Study Data from Jozef Stefan Institute Update Knowledge of Robotics (Hierarchica l Learning of Robotic Contact Policies)

    9-10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 originating from Ljubljana, Slovenia, by NewsRx correspondents, research stated, “The paper addresses the issue of le arning tasks where a robot maintains permanent contact with the environment. We propose a new methodology based on a hierarchical learning scheme coupled with t ask representation through directed graphs.” Financial supporters for this research include European Union (EU), Slovenian Re search and Innovation Agency. Our news editors obtained a quote from the research from Jozef Stefan Institute, “These graphs are constituted of nodes and branches that correspond to the stat es and robotic actions, respectively. The upper level of the hierarchy essential ly operates as a decision- making algorithm. It leverages reinforcement learning (RL) techniques to facilitate optimal decision-making. The actions are generate d by a constraintspace following (CSF) controller that autonomously identifies feasible directions for motion. The controller generates robot motion by adjusti ng its stiffness in the direction defined by the Frenet-Serret frame, which is a ligned with the robot path.”
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