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 Morelia, Mexic o, by NewsRx journalists, research stated, "This groundbreaking study introduces a novel approach employing Extreme Fine -Tuning (XFT) combined with Explainable Artificial Intelligence (XAI) for the accurate, non destructive prediction of c oncrete compressive strength. By analyzing a state-of-the-art dataset containing 18,480 data points, this study developed a deep neural network that, through ex tensive hyperparameter optimization, achieves unprecedented prediction accuracy of approximately 98.7%." Funders for this research include CIC-UMSNH, Mexico, CONAHCYT, Mexico.
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 cyborg and bi onic systems have been published. According to news reporting from Ningbo, Peopl e's Republic of China, by NewsRx journalists, research stated, "Singleleg landi ng (SL) is often associated with a high injury risk, especially anterior cruciat e ligament (ACL) injuries and lateral ankle sprain."Funders for this research include Zhejiang Provincial Natural Science Foundation of China For Distinguished Young Scholars; Zhejiang Province Exploring Public W elfare Projects; Ningbo Key R&D Program; Ningbo Natural Science Fou ndation; Zhejiang Provincial Key Research And Development Program of China; Publ ic Welfare Science & Technology Project of Ningbo; Zhejiang Rehabi litation Medical Association Scientific Research Special Fund.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Breast Canc er is the subject of a report. According to news reporting from Fujian, People's Republic of China, by NewsRx journalists, research stated, "To establish a path omic model using histopathological image features for predicting indoleamine 2,3 -dioxygenase 1 (IDO1) status and its relationship with overall survival (OS) in breast cancer. A pathomic model was constructed using machine learning and histo pathological images obtained from The Cancer Genome Atlas database to predict ID O1 expression."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting originating in Changsha, People's Republic of China, by NewsRx journalists, research stated, "C urrently, the biological understanding of Crohn's disease (CD) remains limited. PANoptosis is a revolutionary form of cell death reported to participate in nume rous diseases, including CD." Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Hunan Province. The news reporters obtained a quote from the research from Central South Univers ity, "In our study, we aimed to uncover the roles of PANoptosis in CD. Different ially expressed PANoptosis-related genes (DE-PRGs) were identified by overlappin g PANoptosis-related genes and differentially expressed genes between CD and nor mal samples in a combined microarray dataset. Three machine learning algorithms were adopted to detect hub DE-PRGs. To stratify the heterogeneity within CD pati ents, nonnegative matrix factorization clustering was conducted. In terms of imm une landscape analysis, the ‘ssGSEA' method was applied. qRT-PCR was performed t o examine the expression levels of the hub DE-PRGs in CD patients and colitis mo del mice. Ten hub DE-PRGs with satisfactory diagnostic performance were identifi ed and validated: CD44, CIDEC, NDRG1, NUMA1, PEA15, RAG1, S100A8, S100A9, TIMP1 and XBP1. These genes displayed significant associations with certain immune cel l types and CD-related genes. We also constructed gene-microRNA, gene-transcript ion factor and drug-gene interaction networks. CD samples were classified into t wo PANoptosis patterns according to the expression levels of the hub DE-PRGs."
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 the Nationa l Physical Laboratory by NewsRx editors, research stated, "Beamforming and massi ve multiple-input-multiple-output (mMIMO) technologies are key features of base stations (BSs) in the fifth-generation (5G) of mobile networks." Financial supporters for this research include National Measurement System Progr am of The U.K. Government's Department For Science, Innovation And Technology (D sit), Under Science Theme Reference Emt23 And Emt24 of That Program; European As sociation of National Metrology Institutes (Euramet) European Partnership on Met rology Co-financed From European Union's Horizon Europe Research And Innovation Programme; Metrology For Emerging Wireless Standards.
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 originating from Seou l, South Korea, by NewsRx correspondents, research stated, "In this study, we pr esent a novel approach to derive hand poses from data input via a haptic control ler, leveraging machine learning techniques." Funders for this research include Institute of Information And Communications Te chnology Planning And Evaluation; Seoul Women's University. Our news reporters obtained a quote from the research from Department of Digital Media: "The input values received from the haptic controller correspond to the movement of five fingers, each assigned a value between 0.0 and 1.0 based on the applied pressure. The wide array of possible finger movements requires a substa ntial amount of motion capture data, making manual data integration difficult. T his challenge is primary due to the need to process and incorporate large volume s of diverse movement information. To tackle this challenge, our proposed method automates the process by utilizing machine learning algorithms to convert hapti c controller inputs into hand poses. This involves training a machine learning m odel using supervised learning, where hand poses are matched with their correspo nding input values, and subsequently utilizing this trained model to generate ha nd poses in response to user input."
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 - Androids are presented in a new report. According to news reporting from Villers les Nancy, F rance, by NewsRx journalists, research stated, "Many humanoid and multi-legged r obots are controlled in positions rather than in torques, which prevents direct control of contact forces, and hampers their ability to create multiple contacts to enhance their balance, such as placing a hand on a wall or a handrail." Financial support for this research came from CPER CyberEntreprises. The news correspondents obtained a quote from the research from the University o f Lorraine, "This letter introduces the SEIKO (Sequential Equilibrium Inverse Ki nematic Optimization) pipeline, and proposes a unified formulation that exploits an explicit model of flexibility to indirectly control contact forces on tradit ional position-controlled robots. SEIKO formulates whole-body retargeting from C artesian commands and admittance control using two quadratic programs solved in real 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 - Support Vector Machines have been published. According to news reporting o ut of Dalian, People's Republic of China, by NewsRx editors, research stated, "U ser identification (UI) with human speech is important in voice biometrics for u ser authentication. However, the recognized speech is at risk of being spoofed w hen an intruder attempts to access a voice-secured system." Financial supporters for this research include National Key R&D Pro gram of China, National Natural Science Foundation of China (NSFC), Young Elite Scientists Sponsorship Program by CAST, Fundamental Research Funds for the Centr al Universities, National Natural Science Foundation of Guangdong Province, Natu ral Science Foundation of Liaoning Province.
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 originating in Innsbruck, A ustria, by NewsRx journalists, research stated, "It is useful for machines to kn ow whether text information remains valid or not for various applications includ ing text comprehension, story understanding, temporal information retrieval, and user state tracking on microblogs as well as via chatbot conversations. This ki nd of inference is still difficult for current models, including also large lang uage models, as it requires temporal commonsense knowledge and reasoning." Financial support for this research came from University of Innsbruck and Medica l University of Innsbruck. The news reporters obtained a quote from the research from the University of Inn sbruck, "We approach in this paper the task of Temporal Validity Reassessment, i nspired by traditional natural language reasoning to determine the updates of th e temporal validity of text content. The task requires judgment whether actions expressed in a sentence are still ongoing or rather completed, hence, whether th e sentence still remains valid or has become obsolete, given the presence of con text in the form of a supplementary content such as a follow-up sentence. We fir st construct our own dataset for this task and train several machine learning mo dels. Then we propose an effective method for learning information from an exter nal knowledge base that gives information regarding temporal commonsense knowled ge. Using our prepared dataset, we introduce a machine learning model that incor porates the information from the knowledge base and demonstrate that incorporati ng external knowledge generally improves the results."
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 originating in Atlanta, Geo rgia, by NewsRx journalists, research stated, "Wire Arc Additive Manufacturing a s a Directed Energy Deposition technology has disruptive potential for modern ma nufacturing. The technology comes with the flexibility and material efficiency o f additive manufacturing processes while mitigating the disadvantages through hi gh material deposition rates and high energy efficiency." Financial support for this research came from Morris M. Bryan, Jr. Professorship . The news reporters obtained a quote from the research from the Georgia Institute of Technology, "However, the prevalence of the technology is inhibited by its g eometrical inaccuracy and the large induced residual stresses. This work tackles the former problem by capturing the process parametergeometry relationship usin g Machine Learning. To do so, multiple mild steel welding beads with varying sha pe features like corner angles are printed using a Metal Inert Gas welding machi ne attached to an industrial robot. The cross-sectional profile of the printed b eads is measured using a point laser sensor and correlated through a Multilayer Perceptron to input features such as travel speed, wire feed speed, and shape fe atures. By incorporating varying corner angles, a holistic model, not limited to geometry prediction of straight beads only, is trained. Using the model, excess material at the inner angle of corners determined by the overlapping regions of the two adjacent beads can be predicted."
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