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 originating from Ho Ch i Minh City, Vietnam, by NewsRx correspondents, research stated, “This paper tac kles the largely untouched issue of optimal management of complex systems, now r endered much more challenging by current conditions of instability and turbulenc e. Managers need capabilities of foresight and holism in capturing the essence o f wicked problems and the best way forward.” Our news editors obtained a quote from the research from International Universit y, “Interviews were conducted with complex systems managers regarding their perc eptions of the value of analysis and intuition in these circumstances and the po tential of artificial intelligence (AI) to bring extra value to both modes, anal ysis, and intuition. Findings indicate that both styles were employed, and descr iptions of intuition covered both experience-based intuition and creative intuit ion. Regarding the encroachment of AI, the advantages of speed and reduced costs seemed to these respondents to make its adoption mandatory. However, the oversi ght role of people was considered critical by most respondents.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting originatin g from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Microrobotic swarms actuated by magnetic fields have attracted consider able attention in the field of automatic control. Developing effective control s chemes for microrobotic swarms to track multiple mobile targets is still a major challenge.” Funders for this research include National Key R&D Program of China , National Natural Science Foundation of China (NSFC), Guangdong Basic and Appli ed Basic Research Foundation, Shenzhen Institute of Artificial Intelligence and Robotics for Society.
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 out of Mahasarakham University by NewsRx editors, research stated, “The importance of precise cost estimations in construction investment sector cannot be overstated, serving as the cornerstone for crucial investment decisions.” Our news reporters obtained a quote from the research from Mahasarakham Universi ty: “Unfortunately, inaccurate estimations often lead to significant losses due to flawed investment objectives. Consequently, the pursuit of an effective inves tment decision support system has become a paramount research focus, aiming to a id construction investors in making informed and timely choices. This study focu ses on a novel hybrid machine learning (HML) approach, amalgamating various base models such as artificial neural networks (ANNs), support vector machines (SVMs ), multiple linear regression (MLR), decision trees (DTs) and random forest (RF) to construct a sophisticated construction cost forecasting model. Remarkably, e mpirical findings demonstrate the exceptional accuracy of the hybrid ANN-DT mode l, reaching an impressive 92.1% and surpassing individual models. This breakthrough holds the promise of substantial advantages and increased prof itability within the construction industry, particularly benefitting professiona ls in civil engineering, architecture, and construction investing.”
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 Tiradentes Univer sity by NewsRx correspondents, research stated, “Generative Artificial Intellige nce tools have gained increasing prominence in recent years.” Our news correspondents obtained a quote from the research from Tiradentes Unive rsity: “However, the increasing use of these technologies and the functionalitie s they offer has sparked discussions about their impact and even raised concerns about the potential replacement of human work by automation carried out by mach ines. This study proposes a Systematic Literature Review to evaluate the opportu nities and challenges that these technologies present to system developers in th e current and future technological scenario. Aiming at state-of-the-art research to identify how Generative AIs are being applied in the context of software dev elopment and what are the latest trends and innovations in this field and how th ese innovations affect the opportunities and challenges for system developers. A s a result, several studies were found that highlight how Generative AI has prov ided productivity and systems development optimized solutions in the industry, a s well as promoting innovations. Studies also emphasize the need for a balance b etween the use of AI tools and development carried out by human participation, w hich must be mediated by common sense.”
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 originating from Dhahran, Saudi Arabia, by NewsRx editors, the research stated, “This research examines the intricate c orrelation between speed variation (celeration), a metric of driver behavior ass ociated with vehicle control, and occurrences of running red lights.” Our news editors obtained a quote from the research from King Fahd University of Petroleum and Minerals: “The study is based on a thorough analysis of a large d ataset that includes a variety of parameters, such as exceeding speed limits, dr iver age, passenger count, weather, road condition, and temporal factors. Using cutting-edge machine learning methods like AdaBoost and Bagging, predictive mode ls for red-light violations are painstakingly built, achieving remarkable valida tion accuracies of 90.4 % and 90.1%, respectively. The study acknowledges the dataset’s limitations in capturing real-world traffic co mplexities while focusing on the effectiveness and trade-offs inherent in these methodologies. This emphasizes how important it is to have synchronized and thor ough data sources to guarantee accurate representation.”
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 ro botics. According to news originating from the University of Zagreb by NewsRx ed itors, the research stated, “Recently, CAD environments have integrated topology optimization (TO) tools, enabling rapid development and manufacturing of parts with optimized mechanical properties.” The news journalists obtained a quote from the research from University of Zagre b: “However, different CAD platforms incorporate TO differently, making a compar ative analysis necessary. This study aims to systematically compare the efficien cy, material usage, and design quality of five commonly used CAD/TO platforms wh en applied to the topology optimization of a six degrees of freedom robotic arm. The objective is to identify the key differences in how these platforms influen ce the final design and manufacturing outcomes. Practical validation of results is provided by printing and assembling optimized components into a fully functio nal robotic arm.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of San Sebastian, Spain, by News Rx editors, research stated, “In this study, we present a hybrid kinematic model ing approach for serial robotic manipulators, which offers improved accuracy com pared to conventional methods. Our method integrates the geometric properties of the robot with ground truth data, resulting in enhanced modeling precision.” Financial support for this research came from Elkartek 2021 funding program.
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 originating from Guiyang, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “This study aims to understand the molecular mechanisms underlying the aging process and ide ntify potential interventions to mitigate age-related decline and diseases. This study utilized the GSE168753 dataset to conduct comprehensive differential gene expression analysis and co-expression module analysis.” Our news editors obtained a quote from the research, “Machine learning and Mende lian randomization analyses were employed to identify core aging-associated gene s and potential drug targets. Molecular docking simulations and mediation analys is were also performed to explore potential compounds and mediators involved in the aging process. The analysis identified 4164 differentially expressed genes, with 1893 upregulated and 2271 downregulated genes. Co-expression analysis revea led 21 modules, including both positively and negatively correlated modules betw een older age and younger age groups. Further exploration identified 509 aging-r elated genes with distinct biological functions. Machine learning and Mendelian randomization analyses identified eight core genes associated with aging, includ ing DPP9, GNAZ, and RELL2. Molecular docking simulations suggested resveratrol, folic acid, and ethinyl estradiol as potential compounds capable of attenuating aging through modulation of RELL2 expression. Mediation analysis indicated that eosinophil counts and neutrophil count might act as mediators in the causal rela tionship between genes and aging-related indicators. This comprehensive study pr ovides valuable insights into the molecular mechanisms of aging and offers impor tant implications for the development of antiaging therapeutics. Key Messages W hat is already known on this topic - Prior research outlines aging’s complexity, necessitating precise molecular targets for intervention. What this study adds - This study identifies novel aging-related genes, potential drug targets, and t herapeutic compounds, advancing our understanding of aging mechanisms.”
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 Curitiba, Brazi l, by NewsRx editors, research stated, “Pain associated with temporomandibular d ysfunction (TMD) is often confused with odontogenic pain, which is a challenge i n endodontic diagnosis. Validated screening questionnaires can aid the identific ation and differentiation of the source of pain.” Our news journalists obtained a quote from the research from the School of Denti stry, “Therefore, this study aimed to develop a virtual assistant based on artif icial intelligence, using natural language processing techniques to automate the initial screening of patients with tooth pain. The PAINe chatbot was developed in Python language, using the PyCharm environment and the ‘openai’ library to in tegrate the ChatGPT 4 API, and the ‘streamlit’ library for interface constructio n. The validated TMD Pain Screener questionnaire and one question about the curr ent pain intensity was integrated into the chatbot to perform the differential d iagnosis of TMD in patients with tooth pain. The responses’ accuracy was evaluat ed in 50 random scenarios to compare the chatbot with the validated questionnair e. The Kappa coefficient was calculated to assess the agreement level between th e chatbot responses and the validated questionnaire. The chatbot achieved an acc uracy rate of 86% and a substantial level of agreement (Kappa = 0. 70). Most responses were clear and provided adequate information about the diagn osis. The implementation of a virtual assistant using natural language processin g, based on large language models, for initial differential diagnosis screening of patients with tooth pain, demonstrated substantial agreement between validate d questionnaires and the chatbot.”
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 reporting originating from Warsaw, Poland, by Ne wsRx correspondents, research stated, “The article presents an analysis of the e ffectiveness of selected machine learning methods: Random Forest (RF), Extreme G radient Boosting (XGB), and Support Vector Machine (SVM) in the classification o f land use and cover in satellite images.” Our news correspondents obtained a quote from the research from Warsaw Universit y of Technology: “Several variants of each algorithm were tested, adopting diffe rent parameters typical for each of them. Each variant was classified multiple ( 20) times, using training samples of different sizes: from 100 pixels to 200,000 pixels. The tests were conducted independently on 3 Sentinel-2 satellite images , identifying 5 basic land cover classes: built-up areas, soil, forest, water, and low vegetation. Typical metrics were used for the accuracy assessment: Cohen’s kappa coefficie nt, overall accuracy (for whole images), as well as F-1 score, precision, and re call (for individual classes). The results obtained for different images were co nsistent and clearly indicated an increase in classification accuracy with the i ncrease in the size of the training sample.”
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