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    Polytechnic University Milan Researcher Describes Findings in Artificial Intelli gence (Advances in Portable Optical Microscopy Using Cloud Technologies and Arti ficial Intelligence for Medical Applications)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from Milan, Italy, by Ne wsRx journalists, research stated, “The need for faster and more accessible alte rnatives to laboratory microscopy is driving many innovations throughout the ima ge and data acquisition chain in the biomedical field.”

    Study Results from Zhejiang University Update Understanding of Artificial Intell igence (Technology Progress In Mechanical Harvest of Fresh Market Strawberries)

    68-69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 originating in Zhejiang, Peop le’s Republic of China, by NewsRx journalists, research stated, “This article re views the research and development progress of mechanical harvesting technologie s for fresh market strawberries in the past few decades, focusing on the main te chnologies such as cut-and-separate method, harvest-assist method, mechanical ha rvesting device method and harvesting robot method. In addition, the report also points out the research bottlenecks and future development trends of these four types of technologies based on the review.”

    Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Bolted Lap Joint Loosening Monitoring and Damage Ident ification Based On Acoustic Emission and Machine Learning)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Beijing, Peop le’s Republic of China, by NewsRx journalists, research stated, “Monitoring bolt looseness in joint structures is vital for their safety and integrity. The rela tionship between bolt looseness-sensitive acoustic emission (AE) feature selecti on and damage mechanisms is unclear.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Reports Summarize Intelligent Systems Findings from Zhengzhou University of Ligh t Industry (Mixer: Linear Interpolation of Latent Space for Entity Resolution)

    70-71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 - Intelligent Systems have been published. According to news originating fro m Henan, People’s Republic of China, by NewsRx correspondents, research stated, “Entity resolution, accurately identifying various representations of the same r eal-world entities, is a crucial part of data integration systems. While existin g learning-based models can achieve good performance, the models are extremely d ependent on the quantity and quality of training data.”

    Findings from North China University of Science and Technology Has Provided New Data on Machine Learning (A Novel Approach for Improving Carbon Fixation of chlo rella Sp. By Elements In Converter Steel Slag Using Machine Learning)

    71-72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 Tangshan, People’s Re public of China, by NewsRx journalists, research stated, “This study investigate s the biomass and carbon fixation rate of Chlorella sp. by the main valuable ele ments in converter steel slag in F/2 seawater medium. The results indicate that Ca, Mg, P, Si, Fe, and Mn can increase the biomass and carbon fixation rate of C hlorella sp., while Cu, Zn, Cr, and Al can decrease the biomass and carbon fixat ion rate of Chlorella sp..”

    Research Reports from Guangdong Ocean University Provide New Insights into Machi ne Learning (Marine Equipment Siting Using Machine-Learning-Based Ocean Remote S ensing Data: Current Status and Future Prospects)

    72-73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 originating from Zhanjiang, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “As the global climate changes, there is an increasing focus on the oceans and their protectio n and exploitation.” Financial supporters for this research include National Science Foundation of Ch ina. Our news editors obtained a quote from the research from Guangdong Ocean Univers ity: “However, the exploration of the oceans necessitates the construction of ma rine equipment, and the siting of such equipment has become a significant challe nge. With the ongoing development of computers, machine learning using remote se nsing data has proven to be an effective solution to this problem. This paper re views the history of remote sensing technology, introduces the conditions requir ed for site selection through measurement analysis, and uses cluster analysis me thods to identify areas such as machine learning as a research hotspot for ocean remote sensing.”

    New Findings from North Carolina State University (NC State) Update Understandin g of Artificial Intelligence (Does Artificial Intelligence Satisfy You? a Meta-a nalysis of User Gratification and User Satisfaction With Ai-powered Chatbots)

    73-73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 Artificial Intelligenc e is the subject of a report. According to news reporting out of Raleigh, North Carolina, by NewsRx editors, research stated, “While artificial intelligence (AI ) has been increasingly employed in communication technologies, limited research has explored the user experience of AI-powered chatbots. Based on Uses & Gratification (U&G) theory, this study conducted a quantitative met a-analysis of 12 studies to examine the relationship between four dimensions of user gratification (utilitarian, technology, hedonic, and social) and user satis faction with AI-powered chatbots.”

    Studies from Nanjing University in the Area of Robotics Reported (Scenario-based Distributionally Robust Unit Commitment Optimization Involving Cooperative Inte raction With Robots)

    74-74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 originating from Nanjing, People’s Republic of China, by N ewsRx correspondents, research stated, “With the increasing penetration of renew able energy, uncertainty has become the main challenge of power systems operatio n. Fortunately, system operators could deal with the uncertainty by adopting sto chastic optimization (SO), robust optimization (RO) and distributionally robust optimization (DRO).”

    Studies Conducted at Ahsanullah University of Science and Technology on Machine Learning Recently Reported (Ben-sarc: a Selfannotated Corpus for Sarcasm Detect ion From Bengali Social Media Comments and Its Baseline Evaluation)

    75-75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 originating from Dhaka, Bangladesh, by NewsRx correspondents, research stated, “Sarcasm detection research in the Bengali lang uage so far can be considered to be narrow due to the unavailability of resource s. In this paper, we introduce a large-scale self-annotated Bengali corpus for s arcasm detection research problem in the Bengali language named ‘Ben-Sarc’ conta ining 25,636 comments, manually collected from different public Facebook pages a nd evaluated by external evaluators.”

    New Machine Learning Findings Reported from Indira Gandhi Center for Atomic Rese arch (Combining Machine Learning Techniques and Genetic Algorithm for Predicting Run Times of High Performance Computing Jobs)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news originating from Tamil Nadu, India, by New sRx correspondents, research stated, “This study proposes a novel approach combi ning Machine Learning (ML) techniques and Genetic Algorithms (GA) for predicting High- Performance Computing (HPC) job run times. The objective is to create a pr ediction method universally applicable to any HPC system, irrespective of worklo ad characteristics, application specific parameters, user behavior, or hardware architecture.”