查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Davis, Califor nia, by NewsRx editors, research stated, “Automated machine learning (AutoML) ha s emerged as a novel tool for medical professionals lacking coding experience, e nabling them to develop predictive models for treatment outcomes. This study eva luated the performance of AutoML tools in developing models predicting the succe ss of pneumatic retinopexy (PR) in treatment of rhegmatogenous retinal detachmen t (RRD). These models were then compared with custom models created by machine l earning (ML) experts.” Financial supporters for this research include Knights Templar Eye Foundation; B urroughs Wellcome Fund; Doris Duke Charitable Foundation.
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 Nanning, People’s R epublic of China, by NewsRx journalists, research stated, “Mangrove ecosystems p lay an irreplaceable role in coastal environments by providing essential ecosyst em services. Diverse mangrove species have different functions due to their morp hological and physiological characteristics.” Financial supporters for this research include National Natural Science Foundati on of China; Guangxi Science And Technology Project; The Key Laboratory of Envir onment Change And Resources Use in Beibu Gulf (Nanning Normal University), Minis try of Education; The Bagui Scholars Program of Guangxi Zhuang Autonomous Region .
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Microsurgery is the subject of a report. According to news reporting originating from Hempst ead, United States, by NewsRx correspondents, research stated, “The integration of robotic-assisted surgery (RAS) has transformed various surgical disciplines, including more recently plastic surgery. While RAS has gained acceptance in mult iple specialties, its integration in plastic surgery has been gradual, challengi ng traditional open methods.” Our news editors obtained a quote from the research from the Donald and Barbara Zucker School of Medicine at Hofstra, “Robotic-assisted deep inferior epigastric perforator (DIEP) flap breast reconstruction is a technique aimed to overcome d rawbacks associated with the traditional open DIEP flap approach. These limitati ons include a relatively large fascial incision length, potentially increasing r ates of postoperative pain, abdominal bulge, hernia rates, and core weakening. T he robotic-assisted DIEP flap technique emerges as an innovative and advantageou s approach in fascial-sparing abdominal based autologous breast reconstruction. While acknowledging certain challenges such as increased operative time, ongoing refinements are expected to further improve the overall surgical experience, op timize results, and solidify the role of robotics in advancing reconstructive mi crosurgical procedures in plastic surgery.”
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 Robotic s. According to news originating from Auckland, New Zealand, by NewsRx correspon dents, research stated, “PurposeThe emergence of new generations of artificial i ntelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovat ion in the service workplace. These robotic agents can serve as companions, help ing employees cope with work-related stress.” Our news journalists obtained a quote from the research from the Auckland Univer sity of Technology, “This research introduces the concept of ‘artificial compani onship,’ which explains how robotic agents can function as partners in assisting service employees to fulfill their job responsibilities and maintain their ment al well-being. Design/methodology/approachThis research uses a mixed methods app roach grounded in social support theory from psychology and management to develo p a conceptual framework for the stressalleviating implications of artificial c ompanionship. A qualitative employee survey is conducted to justify the relevanc e of the propositions. FindingsThis research delineates the concept of artificia l companionship. It highlights four distinct roles that AI can play in companion ship - instrumental, informative, caring, and intimate. Building on this foundat ion, the research presents a series of propositions that elucidate the potential of artificial companionship in mitigating stress among employees. Practical imp licationsFirms should consider aligning the types of artificial companionship wi th the demands inherent in employees’ job responsibilities to better reinforce t heir resilience and sustainment in overcoming work-related challenges. Originali ty/valueThis research introduces a new perspective on artificial companionship t hrough the lens of social support theory.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting originating in Hunan, People’s Republic of Ch ina, by NewsRx journalists, research stated, “To evaluate the suitability of mac hine learning algorithms in predicting wind effects on high-rise buildings, this study investigates the prediction of wind load power spectrum for the CAARC sta ndard model of high-rise buildings using various machine learning algorithms. Th e inputs of the machine learning model include turbulence intensity, wind direct ion and reduced frequency.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Hunan Province, Civil Engineer -ing Key Discipline of Changsha University of Science and Technology.
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 out of the Department of Ge nomics by NewsRx editors, research stated, “This study focuses on the potential of multi-omics and machine learning approaches in improving our understanding of the malting processes and cultivation systems in barley.” Financial supporters for this research include Abrii. Our news correspondents obtained a quote from the research from Department of Ge nomics: “The omics approach has been used to explore biomarkers associated with desired sensory characteristics in malting barley, enabling potential applicatio ns in specific treatments to modify diastatic power, enzyme activity, color, and aroma compounds. Moreover, the integration of machine learning and multi-omics in malting barley researches has significantly enhanced our knowledge in physiol ogy, cultivation, and processing for more efficient and sustainable production s ystems in malting barley industry. The integration of cutting-edge machine visio n and high-throughput phenotyping technologies has additionally the potential to revolutionize the assessment of physical and biochemical traits in malting barl ey. In addition, the harnessing of integrative approach to predict consumer acce ptability, and assess physicochemical and colorimetric properties of malt extrac ts has been discussed. Current survey showed that the ML-driven predictive maint enance is revolutionizing the barley malting industry by not only enhancing equi pment performance but also minimizing operational costs and reducing unplanned d owntime.”
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 out of Dublin, Ireland, by Ne wsRx editors, research stated, “In recent years, computational approaches for ex tracting customer needs from user generated content have been proposed. However, there is a lack of studies that focus on extracting unmet needs for future popu lar products.” Financial support for this research came from Science Foundation Ireland. Our news journalists obtained a quote from the research from Dublin City Univers ity, “Therefore, this study presents a supervised keyphrase classification model which predicts needs that will become popular in real products in the marketpla ce. To do this, we utilize Trending Customer Needs (TCN)-a monthly dataset of tr ending keyphrase customer needs occurring in new products during 2011-2021 acros s multiple categories of Consumer Packaged Goods e.g. toothpaste, eyeliner, beer , etc. We are the first study to use this specific dataset and employ it by trai ning a time series algorithm to learn the relationship between features we gener ate for each candidate keyphrase on Reddit to the ones in the dataset 1-3 years in the future. We show that our approach outperforms a baseline in the literatur e and through Multi-Task Learning can accurately predict needs for a category it wasn’t trained on e.g. train on toothpaste, cereal, and beer products yet still predict for shampoo products.”
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 Brussels, Belgi um, by NewsRx editors, research stated, “Regulatory frameworks for artificial in telligence (AI) are needed to mitigate risks while ensuring the ethical, secure, and effective implementation of AI technology in healthcare and population heal th. In this article, we present a synthesis of 141 binding policies applicable t o AI in healthcare and population health in the EU and 10 European countries.” Our news journalists obtained a quote from the research from Sciensano, “The EU AI Act sets the overall regulatory framework for AI, while other legislations se t social, health, and human rights standards, address the safety of technologies and the implementation of innovation, and ensure the protection and safe use of data. Regulation specifically pertaining to AI is still nascent and scarce, tho ugh a combination of data, technology, innovation, and health and human rights p olicy has already formed a baseline regulatory framework for AI in health.”
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 robotics. According to news reporting out of Nanjing, People’s Republic of China , by NewsRx editors, research stated, “The widespread application of mobile robo ts holds significant importance for advancing social intelligence.” Financial supporters for this research include National Natural Science Foundati on of China. The news editors obtained a quote from the research from Nanjing Tech University : “However, as the complexity of the environment increases, existing Obstacle Av oidance Path Planning (OAPP) methods tend to fall into local optimal paths, comp romising reliability and practicality. Therefore, based on the Spider-Wasp Optim izer (SWO), this paper proposes an improved OAPP method called the LMBSWO to add ress these challenges. Firstly, the learning strategy is introduced to enhance t he diversity of the algorithm population, thereby improving its global optimizat ion performance. Secondly, the dual-medianpoint guidance strategy is incorporat ed to enhance the algorithm’s exploitation capability and increase its path sear chability. Lastly, a better guidance strategy is introduced to enhance the algor ithm’s ability to escape local optimal paths. Subsequently, the LMBSWO is employ ed for OAPP in five different map environments.”
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 new report. According to news reporting out of Gif-sur-Yve tte, France, by NewsRx editors, research stated, “Road transportation accounts f or up to 35% of carbon dioxide and 49% of nitrogen o xides emissions in the Paris region.” Funders for this research include Grantham Foundation For The Protection of The Environment. The news reporters obtained a quote from the research from University of Paris S aclay: “However, estimates of city traffic patterns are often incomplete and of coarse spatio-temporal resolution, even where extensive networks of sensors exis t. This study uses a machine learning approach to analyze data from 2086 magneti c road sensors across Paris, generating a detailed dataset of hourly traffic flo w and road occupancy covering 6846 road segments from 2018 to 2022. Our model ca ptures flow and occupancy with a symmetric mean absolute percentage error of 37% and 54% respectively, providing high-resolution insights into traf fic patterns. These insights allow for the creation of a comprehensive map of ho urly transportation patterns in Paris, offering a robust framework for assessing traffic variables for each significant road link in the city. The model’s abili ty to incorporate an emission factor based on the mean speed of the vehicle flee t, derived from flow and occupancy data, holds promise for developing a detailed CO _2 and pollutant inventory.”
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