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 in Wuhan, People’s Republ ic of China, by NewsRx journalists, research stated, “Currently, there are some new challenges for pneumatic soft robots brought by complex application environm ents and variable task objectives. To address these challenges, inspired by the building blocks, we develop a novel pneumatic soft actuator named pneumatic bell ows actuator (PBA) that can generate bidirectional deformation, and propose a bu ilding block design concept for the soft robots based on the developed PBA.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Ministry of Educatio n, China - 111 Project, China Scholarship Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cellular Physiology - Apoptosis is the subject of a report. According to news originating from Baotou, People’s Republic of China, by NewsRx correspondents, research stated, “Apoptot ic proteins play a crucial role in the apoptosis process, ensuring a balance bet ween cell proliferation and death. Thus, further elucidating the regulatory mech anisms of apoptosis will enhance our understanding of their functions.” Our news journalists obtained a quote from the research, “However, the developme nt of computational methods to accurately identify positive and negative regulat ion of apoptosis remains a significant challenge. This work proposes a machine l earning model based on multi-feature fusion to effectively identify the roles of positive and negative regulation of apoptosis. Initially, we constructed a reli able benchmark dataset containing 200 positive regulation of apoptosis and 241 n egative regulation of apoptosis proteins. Subsequently, we developed a classifie r that combines the support vector machine (SVM) with pseudo composition of k-sp aced amino acid pairs (PseCKSAAP), composition transition distribution (CTD), di peptide deviation from expected mean (DDE), and PSSM-composition to identify the se proteins. Analysis of variance (ANOVA) was employed to select optimized featu res that could yield the maximum prediction performance.”
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 - Reoperation is the subject of a report. According to news reporting from Toronto, Canada, by NewsRx journalists, research stated, “Oncological resection and reconstruction involving the lower extremities commonly lead to reoperations that impact patien t outcomes and healthcare resources. This study aimed to develop a machine learn ing (ML) model to predict this reoperation risk.” The news correspondents obtained a quote from the research from the University o f Toronto, “This study was conducted according to TRIPOD + AI. Data from the PAR ITY trial was used to develop ML models to predict the 1-year reoperation risk f ollowing lower extremity oncological resection and reconstruction. Six ML algori thms were tuned and calibrated based on fivefold cross-validation. The best-perf orming model was identified using classification and calibration metrics. The po lynomial support vector machine (SVM) model was chosen as the best-performing mo del. During internal validation, the SVM exhibited an AUC-ROC of 0.73 and a Brie r score of 0.17. Using an optimal threshold that balances all quadrants of the c onfusion matrix, the SVM exhibited a sensitivity of 0.45 and a specificity of 0. 81. Using a high-sensitivity threshold, the SVM exhibited a sensitivity of 0.68 and a specificity of 0.68. Total operative time was the most important feature f or reoperation risk prediction.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Martin Luther-University Halle-Wittenberg by NewsRx correspondents, research stated, “A lgorithmic decision-making (ADM) utilises algorithms to collect and process data and develop models to make or support decisions. Advances in artificial intelli gence (AI) have led to the development of support systems that can be superior t o medical professionals without AI support in certain tasks.” Funders for this research include Universitat Potsdam.
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 Tokyo, Japan, by NewsR x correspondents, research stated, “Complex ‘black-box’ artificial intelligence (AI) models are interpreted using interpretive machine learning and explainable AI (XAI); therefore, assessing the importance of global and local features is cr ucial. The previously proposed approximate inverse model explanation (AIME) offe rs unified explanations of global and local feature importance.” Financial supporters for this research include Department of Data Science, Musas hino University, Tokyo, Japan.
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 o f a report. According to news originating from Alicante, Spain, by NewsRx corres pondents, research stated, “Data sciences and artificial intelligence are becomi ng encouraging tools in assisted reproduction, favored by time-lapse technology incubators. Our objective is to analyze, compare and identify the most predictiv e machine learning algorithm developed using a known implantation database of em bryos transferred in our egg donation program, including morphokinetic and morph ological variables, and recognize the most predictive embryo parameters in order to enhance IVF treatments clinical outcomes.”
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 originating from the Universitat S iegen by NewsRx editors, the research stated, “An emerging issue in AI alignment is the use of artificial intelligence (AI) by public authorities, and specifica lly the integration of algorithmic decision-making (ADM) into core state functio ns.” Funders for this research include University of Bergen. Our news editors obtained a quote from the research from Universitat Siegen: “In this context, the alignment of AI with the values related to the notions of tru st and trustworthiness constitutes a particularly sensitive problem from a theor etical, empirical, and normative perspective. In this paper, we offer an interdi sciplinary overview of the scholarship on trust in sociology, political science, and computer science anchored in artificial intelligence. On this basis, we arg ue that only a coherent and comprehensive interdisciplinary approach making sens e of the different properties attributed to trust and trustworthiness can convey a proper understanding of complex watchful trust dynamics in a socio-technical context. Ensuring the trustworthiness of AI-Governance ultimately requires an un derstanding of how to combine trust-related values while addressing machines, hu mans and institutions at the same time.”
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 have been published. According to news reporting out of Nanjing, People’s Re public of China, by NewsRx editors, research stated, “The manufacturing of compl ex parts, such as aircraft structural parts and aero-engine casing parts, has al ways been one of the focuses in the manufacturing field. The machining process i nvolves a variety of hard problems (e.g. tool wear prediction, smart process pla nning), which require assumptions, simplifications and approximations during the mechanism-based modelling.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 out of Daejeon, South Korea, by NewsRx editors, research stated, “Barrier, solid insulator, is inserted betwe en conductors to make compact power equipment.” Funders for this research include Gwangju Institute of Science Technology (Gist) Research Project; Guangdong Polytechnic 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 – A new study on artificial intelligence is now available. According to news reporting originating from Northwest Univer sity by NewsRx correspondents, research stated, “Tight sandstone reservoirs are a primary focus of research on the geological exploration of petroleum. However, many reservoir classification criteria are of limited applicability due to the inherent strong heterogeneity and complex micropore structure of tight sandstone reservoirs. This investigation focused on the Chang 8 tight reservoir situated in the Jiyuan region of the Ordos Basin.” Financial supporters for this research include Natural Science Basic Research Pr ogram of Shaanxi Province.
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