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 Majmaah Univer sity by NewsRx editors, research stated, “The study aims to investigate how arti ficial intelligence (AI) influences women-led startups in Saudi Arabia, aiming t o understand their unique experiences, challenges, and opportunities within the AI technology landscape. This study used a qualitative method, conducting 16 in- depth interviews with women entrepreneurs operating businesses in Saudi Arabia.” The news correspondents obtained a quote from the research from Majmaah Universi ty: “The analysis was performed using thematic analysis with NVivo 12, uncoverin g key themes and insights. The findings reveal that cultural norms, societal exp ectations, limited awareness, and financial constraints are directly associated with women’s involvement in AI-driven businesses. Cultural biases emerged as imp ediments, underscoring the need for targeted interventions such as awareness cam paigns and educational initiatives to dismantle ingrained biases and foster an e nvironment that recognizes and celebrates the contributions of women in the tech and AI sectors. Educational programs, collaborations between academia and indus try, and mentorship initiatives were identified as pivotal components to prepare women entrepreneurs to navigate the intricate landscape of AI adoption. Financi al inclusion emerged as a critical pillar, advocating for equitable access to fu nding and resources tailored specifically for women-led AI startups. The study f urther emphasizes the importance of fostering supportive ecosystems that extend beyond financial aid. Creating networks for mentorship, guidance, and collaborat ion provides women entrepreneurs with platforms to share experiences and resourc es, enhancing resilience and the potential for success in the AI landscape.”
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 Yibin, People’s Republ ic of China, by NewsRx editors, research stated, “Triboelectric nanogenerators ( TENGs) are highly efficient devices for harvesting mechanical energy. Neverthele ss, conventional TENGs often produce AC output, which, coupled with their high c rest factor and pulsed output characteristics, poses limitations on their widesp read adoption in real scenarios.” Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Chongqing Municipality, Yibin Univers ity, Shenzen Municipal and Hong Kong Joint Innovation Project.
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 Intelligen ce have been presented. According to news reporting from Vienna, Austria, by New sRx journalists, research stated, “We present an exciting journey from 3D point- cloud data (PCD) to the state of the art in graph neural networks (GNNs) and the ir evolution with explainable artificial intelligence (XAI), and 3D geometric pr iors with the human-in-theloop. We follow a simple definition of a ‘digital twi n,’ as a high-precision, three-dimensional digital representation of a physical object or environment, captured, for example, by Light Detection and Ranging (Li DAR) technology.” Financial support for this research came from Austrian Science Fund (FWF).
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 originating from Jeddah, Saudi Arabia, by N ewsRx correspondents, research stated, “Human action recognition (HAR) based on skeleton data is a challenging yet crucial task due to its wide-ranging applicat ions, including patient monitoring, security surveillance, and human- machine in teraction.” Funders for this research include Deanship of Scientific Research (Dsr) At King Abdulaziz University.
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 Copenhagen, Denmark, by NewsRx correspondents, research stated, “Robot-assisted surgery is used worl dwide, allowing surgeons to perform complex surgeries with increased precision a nd flexibility. It offers technical benefits compared to traditional laparoscopi c surgery due to its utilization of both 3D vision and articulated instruments.” Our news editors obtained a quote from the research from Copenhagen Academy for Medical Education and Simulation, “The objective was to investigate the isolated effect of 3D- versus 2D monitors when working with articulated instruments in r obot-assisted surgery. Surgical novices (medical students, n = 31) were randomiz ed to simulation-based training with either the 3D vision switched on or off. Bo th groups completed each of the four exercises six times over two sessions on th e Medtronic Hugo™ RAS system simulator. The outcome was the simulator performanc e parameters and a visual discomfort questionnaire. For the efficiency parameter s, we found that both groups improved over time (p <0.001) and that the intervention group (3D) consistently outperformed the control (2D) group (p <0.001). On the other hand, we didn’t find any s ignificant difference in the error metrics, such as drops (p-values between 0.07 and 0.57) and instrument collisions (p-values between 0.09 and 0.26). Regarding Visual Discomfort, it was significantly more difficult for the 3D group to focu s (p = 0.001).”
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 artific ial intelligence. According to news reporting originating from Curitiba, Brazil, by NewsRx correspondents, research stated, “Academic interest in AI in journali sm has been growing since 2018.” Financial supporters for this research include Coordenacao De Aperfeicoamento De Pessoal De Nivel Superior-brasil; Fabia Ioscote; Fundacao Para A Ciencia E A Te cnologia; Adriana Goncalves.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Gastrointestinal Bleeding is the subject of a report. Accor ding to news reporting originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investi gates the use of residual variables and machine learning (ML) models for predict ing major bleeding in patients with severe UGIB after their first intensive care unit (ICU) admission.” Our news editors obtained a quote from the research from Central South Universit y, “The Medical Information Mart for Intensive Care IV and eICU databases were u sed. Conventional ML and long short-term memory models were constructed using pr e-ICU and ICU admission day data to predict the recurrence of major gastrointest inal bleeding. In the models, residual data were utilized by subtracting the nor mal range from the test result. The models included eight algorithms. Shapley ad ditive explanations and saliency maps were used for feature interpretability. Tw enty-five ML models were developed using data from 2604 patients. The light grad ient-boosting machine algorithm model using pre-ICU admission residual data outp erformed other models that used test results directly, with an AUC of 0.96. The key factors included aspartate aminotransferase, blood urea nitrogen, albumin, l ength of ICU admission, and respiratory rate. ML models using residuals improved the accuracy and interpretability in predicting major bleeding during ICU admis sion in patients with UGIB.”
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 out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Rotate vector (RV) reducers are typi cal deceleration elements with the outstanding characteristics of small size, co mpacted structure, strong load-bearing capacity, and low transmission error, whi ch are widely applied in the fields of industrial robots, aerospace, and measure ment instruments. The cycloidal gear, as the core component in the second-stage drive of RV reducer, its tooth profile directly determines the general performan ce of RV reducer such as meshing precision, load-bearing capacity, and riding st ability.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Key R& D Projects in Hebei Province of China, National Key Research & Dev elopment Program of China.
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 from Nakhon Ratchasim a, Thailand, by NewsRx journalists, research stated, “This project aims to devel op a recommendation system to mitigate looping issues in HDD slider testing usin g the Amber testing machine (Machine A).” Financial supporters for this research include Suranaree University of Technolog y, Thailand, Under The Student Fundamental Research Program.
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 intelligen ce have been presented. According to news reporting out of Shanghai, People’s Re public of China, by NewsRx editors, research stated, “This article argued the fo llowing points.” The news journalists obtained a quote from the research from Shanghai University : “Firstly, the challenge posed by artificial intelligence (AI) to the essence o f humanity is serious. Secondly, it is important to analyse the external context and internal dynamics of the history of interaction between knowledge and power . Thirdly, it is necessary to trace the intellectual history of humanity becomin g god-like. Finally, by combining Martin Luther’s anthropology with insights fro m social science and philosophical theology, this article advocated for guiding human beings to use their capabilities for good rather than evil through ethical and legal constraints. Efforts in Chinese context should be made to resolve the conflict between humanity’s pursuit of omnipotence and its failure to develop t owards complete goodness, so as to avoid catastrophic consequences for humanity. The present article’s special contribution was the theological reflection refer ring to AI’s challenges to the essence of humanity from Luther’s anthropology in Chinese context.”
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