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    Data from Fred Hutchinson Cancer Research Center Provide New Insights into Artificial Intelligence (Framework for Radiation Oncology Department-wide Evaluation and Implementation of Commercial Artificial Intelligence Autocontouring)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on Artificial Intelligence are discussed in a new report. According to news reporting originating in Seattle, W ashington, by NewsRx journalists, research stated, “Artificial intelligence (AI) -based autocontouring in radiation oncology has potential benefits such as stand ardization and time savings. However, commercial AI solutions require careful evaluation before clinical integration.”

    Studies from Institute for Astronomy Provide New Data on Machine Learning (Applying Machine Learning To a Nonlinear Spectral Mixing Model for Mapping Lunar Soils Composition Using Chandrayaan-1 M3 Data)

    86-87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 originating from Kharkiv, Ukraine, by N ewsRx correspondents, research stated, “We present a newly developed method whic h combines the nonlinear spectral mixing model of Shkuratov et al. (1999) with a machine learning algorithm to map the lunar regolith composition using spectral data. The new method performs orders of magnitude faster than the traditionally used numerical optimization approaches, allowing the mapping of regolith proper ties (including mineralogical composition, average grain size and optical maturi ty) over large areas of the lunar surface.”

    New Machine Learning Research from Amity University Outlined (Study of Code Smells: A Review and Research Agenda)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in artificial intelligence. According to news originating from Uttar Pradesh, India, by NewsRx editors, the research stated, “Code Smells have been detected, predicted and st udied by researchers from several perspectives. This literature review is conduc ted to understand tools and algorithms used to detect and analyze code smells to summarize research agenda.”

    Studies from Shaoxing University in the Area of Robotics Published (An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news reporting from Shaoxing, People’s Republic of China, by NewsRx journalists, research stated, “Supply-demand matching degree evaluatio n is an effective way to reduce the transaction risk of manufacturing supply-dem and subjects. Cloud manufacturing provides a platform for supply-demand entities through the network.” Financial supporters for this research include National Natural Science Foundati on of China; General Project of Education Department of Zhejiang Province.

    Recent Research from Catholic University of the Sacred Heart Highlight Findings in Machine Learning (Sentiment Dynamics and Volatility: a Study Based On Garch-midas and Machine Learning)

    89-89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 Milan, Italy, by NewsRx journalists, research stated, “This work investigates the relationship between investor sentiment and volatility of stock indexes. A sentiment proxy is constructed via a machine learning approach from the consumer confidence indexes of four countries.”

    Study Results from University of Science and Technology China Provide New Insights into Computational Intelligence (Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex To Strongly Convex Conditions)

    90-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning - Compu tational Intelligence have been published. According to news reporting out of An hui, People’s Republic of China, by NewsRx editors, research stated, “The traini ng process for deep learning and pattern recognition normally involves the use o f convex and strongly convex optimization algorithms such as AdaBelief and SAdam to handle lots of ‘uninformative’ samples that should be ignored, thus incurrin g extra calculations.”

    King Mongkut’s Institute of Technology Ladkrabang Reports Findings in Machine Learning (Geographical origin identification of Khao Dawk Mali 105 rice using comb ination of FT-NIR spectroscopy and machine learning algorithms)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject of a report. According to news reporting from Bangkok, Thailand, by NewsRx journa lists, research stated, “The mislabelled Khao Dawk Mali 105 rice coming from oth er geographical region outside the Thung Kula Rong Hai region is extremely profi table and difficult to detect; to prevent retail fraud (that adversely affects b oth the food industry and consumers), it is vital to identify geographical origi n. Near infrared spectroscopy can be used to detect the specific content of orga nic moieties in agricultural and food products.”

    Reports Summarize Artificial Intelligence Study Results from Virginia Commonwealth University (Train Station Pedestrian Monitoring Pilot Study Using an Artificial Intelligence Approach)

    92-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligence have been presented. According to news originating from Richmond, Virginia, by NewsRx correspondents, research stated, “Pedestrian monitoring in crowded area s like train stations has an important impact in the overall operation and manag ement of those public spaces.”

    Study Findings from University of Toulouse Provide New Insights into Machine Learning (Improving Fairness Generalization Through a Sample-robust Optimization Method)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Toulouse, France, by NewsRx journali sts, research stated, “Unwanted bias is a major concern in machine learning, rai sing in particular significant ethical issues when machine learning models are d eployed within high-stakes decision systems. A common solution to mitigate it is to integrate and optimize a statistical fairness metric along with accuracy dur ing the training phase.”

    Recent Findings from Guangxi University of Finance & Economics Provides New Insights into Robotics (Increased Productivity and Reduced Waste With Robotic Process Automation and Generative Ai-powered Ioe Services)

    94-94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 Robotics is now availab le. According to news reporting from Guangxi, People’s Republic of China, by New sRx journalists, research stated, “The convergence of robotic process automation (RPA) and generative AI (GAI) within the context of Internet of Everything (IoE ) services represents a profound paradigm shift. This fusion of technologies not only streamlines routine tasks but also catalyzes innovation while harnessing the potential of interconnected devices.”