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 Beijing,Peo ple's Republic of China,by NewsRx correspondents,research stated,"Chemical re actions serve as foundational building blocks for organic chemistry and drug des ign. In the era of large AI models,data-driven approaches have emerged to innov ate the design of novel reactions,optimize existing ones for higher yields,and discover new pathways for synthesizing chemical structures comprehensively." Our news editors obtained a quote from the research from Peking University,"To effectively address these challenges with machine learning models,it is imperat ive to derive robust and informative representations or engage in feature engine ering using extensive data sets of reactions. This work aims to provide a compre hensive review of established reaction featurization approaches,offering insigh ts into the selection of representations and the design of features for a wide a rray of tasks. The advantages and limitations of employing SMILES,molecular fin gerprints,molecular graphs,and physics-based properties are meticulously elabo rated. Solutions to bridge the gap between different representations will also b e critically evaluated." According to the news editors,the research concluded: "Additionally,we introdu ce a new frontier in chemical reaction pretraining,holding promise as an innova tive yet unexplored avenue."
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 - Colon Cance r is the subject of a report. According to news reporting originating from Jiang su,People's Republic of China,by NewsRx correspondents,research stated,"Colo rectal cancer (CRC) is one of the most common malignant tumors with complex mole cular regulatory mechanisms. Alternative splicing (AS),a fundamental regulatory process of gene expression,plays an important role in the occurrence and devel opment of CRC." Our news editors obtained a quote from the research from Nanjing Medical Univers ity,"This study analyzed AS Percent Spliced In (PSI) values from 49 pairs of CR C and normal samples in the TCGA SpliceSeq database. Using Lasso and SVM,AS fea tures that can differentiate colorectal cancer from normal were screened. Univar iate COX regression analysis identified prognosis-related AS events. A risk mode l was constructed and validated using machine learning,Kaplan-Meier analysis,a nd Decision Curve Analysis. The regulatory effect of protein arginine methyltran sferase 5 (PRMT5) on poly(RC) binding protein 1 (PCBP1) was verified by immunopr ecipitation experiments,and the effect of PCBP1 on the AS of Obscurin (OBSCN) w as verified by PCR. Five AS events,including HNF4A.59461.AP and HNF4A.59462.AP,were identified,which can distinguish CRC from normal tissue. A machine learni ng model using 21 key AS events accurately predicted CRC prognosis. High-risk pa tients had significantly shorter survival times. PRMT5 was found to regulate PCB P1 function and then influence OBSCN AS,which may drive CRC progression. The st udy concluded that some AS events is significantly different in CRC and normal t issues,and some of these AS events are related to the prognosis of CRC."
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 reporting originating in Xi'an,People's Republic of C hina,by NewsRx journalists,research stated,"Human-robot collaborative assembl y (HRCA) combines the flexibility and adaptability of humans with the efficiency and reliability of robots during collaborative assembly operations,which facil itates complex product assembly in the mass personalisation paradigm. The cognit ive ability of robots to recognise and predict human actions and make responses accordingly is essential but currently still limited,especially when facing hig hly similar human actions." Financial supporters for this research include China Postdoctoral Science Founda tion,National Natural Science Foundation of China (NSFC),Scientists & Engineers Team Project of Shaanxi Province,Swedish Research Council,Swedish Re search Council. The news reporters obtained a quote from the research from Chang'an University,"To improve the cognitive ability of robots in HRCA,firstly,a two-stage skelet on-RGB integrated model focusing on human-parts interaction is proposed to recog nise highly similar human actions. Specifically,it consists of a feature guidan ce module and a feature fusion module,which can balance the accuracy and effici ency of human action recognition. Secondly,an online prediction approach is dev eloped to predict human actions ahead of schedule,which includes a pre-trained skeleton-RGB integrated model and a preprocessing module. Thirdly,considering t he positioning accuracy of the parts to be assembled and the continuous update o f human actions,a dynamic response scheme of the robot is designed. Finally,th e feasibility and effectiveness of the proposed model and approach are verified by a case study of a worm-gear decelerator assembly. The experimental results de monstrate that the proposed model achieves precise human action recognition with a high accuracy of 93.75% and a lower computational cost. Specifi cally,only 15 frames from a skeleton stream and 5 frames (less than 16 frames i n general) from an RGB video stream are adopted. Moreover,it only takes 1.026 s to achieve online human action prediction based on the proposed prediction meth od. The dynamic response scheme of the robot is also proven to be feasible."
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 Brussels,Belgium,by NewsRx correspo ndents,research stated,"Robotics in construction is an emerging field that aim s to automate various construction activities. Among the various innovative tech nologies for the construction sector,in this paper we focus on robotic solution s for the bricklaying task." Financial support for this research came from Brussels Institute for Research an d Innovation (INNOVIRIS) of the Brussels Region through the Applied PHD grant. Our news journalists obtained a quote from the research from the University libr e of Bruxelles,"In particular,we describe and explain in detail the implementa tion of a control framework for a recently introduced multi -robot bricklaying c oncept,specifically designed for laying activities with large and heavy blocks. The multi -robot system subject of this work is based on the collaboration of a robotic manipulator and a crane. The control architecture proposed to perform t he construction task belongs to the Explicit Reference Governor (ERG) formalism. The ERG is a constrained control structure that enforces the constraints of the system and ensures that the robotic system operates correctly and safely." According to the news editors,the research concluded: "The efficiency of the pr oposed solution is confirmed by experimental validation on a custom-made crane a nd a KUKA LBR IIWA14R820 robotic arm."
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 originating from Reykjavik University by New sRx correspondents,research stated,"Maximizing microwave passive component per formance demands precise parameter tuning,particularly as modern circuits grow increasingly intricate. Yet,achieving this often requires a comprehensive appro ach due to their complex geometries and miniaturized structures." Financial supporters for this research include Icelandic Centre For Research; Na rodowe Centrum Nauki. Our news journalists obtained a quote from the research from Reykjavik Universit y: "However,the computational burden of optimizing these components via full-wa ve electromagnetic (EM) simulations is substantial. EM analysis remains crucial for circuit reliability,but the expense of conducting rudimentary EM-driven glo bal optimization by means of popular bio-inspired algorithms is impractical. Sim ilarly,nonlinear system characteristics pose challenges for surrogate-assisted methods. This paper introduces an innovative technique leveraging variable-fidel ity EM simulations and response feature technology within a kriging-based machin e-learning framework for cost-effective global parameter tuning of microwave pas sives. The efficiency of this approach stems from performing most operations at the low-fidelity simulation level and regularizing the objective function landsc ape through the response feature method. The primary prediction tool is a co-kri ging surrogate,while a particle swarm optimizer,guided by predicted objective function improvements,handles the search process."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on intelligent systems have bee n published. According to news reporting from Deyang,People's Republic of China ,by NewsRx journalists,research stated,"The Internet era resulted in the rise and advancement of MOOK,WeChat,and mobile networks,making it possible to exp and English teaching methods." Our news journalists obtained a quote from the research from Sichuan College of Architectural Technology: "However,the English teaching industry has the proble m of not valuing students' personalized cognition,and the accuracy of teaching resource delivery is low. Therefore,the research uses the noise gate analysis m ethod to design a cognitive diagnostic model for students and designs an English teaching resource recommendation model in view of a convolutional joint probabi lity matrix (JPM) decomposition algorithm. The research results showed that the cognitive diagnostic model designed in the study had a higher accuracy. Compared to traditional algorithms,the overall recommendation effect of the English tea ching resource recommendation model had an average improvement of 11.63% and compared to the JPM algorithm combined with cognitive diagnosis (CD),the ov erall recommendation effect value had an average improvement of 1.977% . When recommending complex teaching resources,the recommendation effect value had an average improvement of 11.54% compared to traditional algor ithms,and the overall average improvement was 1.877% compared to the JPM algorithm combined with CD."
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 Saarland University by New sRx correspondents,research stated,"This article presents a comprehensive inte rview conducted with ChatGPT and Google Bard,investigating the role of Artifici al Intelligence (AI) in the domain of Foreign Language Teaching." Our news editors obtained a quote from the research from Saarland University: "T he primary objective of this interview,supported by subsequent analysis,is to provide valuable insights into the use,significance,and functions of AI in the context of foreign language teaching. Conducting this interview was motivated b y the belief that discussing AI without seeking the opinions and estimations of prominent chatbots would be a notable gap in existing modern research. Both Chat GPT and Bard were posed the same ten questions. These questions explored various aspects,including AI as a paradigm shift in teaching methodology,the most aff ected areas by AI,the changing roles of teachers and students in the wake of AI ,the future importance of language education,the assistance of AI in lesson pr eparation,the role of AI as a direct learning partner for students,the impact of AI on student assessment,and the future development of foreign language meth odology. The responses obtained were,at times,predictable,while in other inst ances,they proved remarkable and insightful. It is crucial to emphasise that th ese AI systems should not be solely relied upon as references."
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 originating from Jacksonville,Florida,by NewsRx editors,the research stated,"Primary Care Physicians (PCPs) are the first point of contact in healthcare." Our news editors obtained a quote from the research from Mayo Clinic: "Because P CPs face the challenge of managing diverse patient populations while maintaining up-to-date medical knowledge and updated health records,this study explores th e current outcomes and effectiveness of implementing Artificial Intelligence-bas ed Clinical Decision Support Systems (AI-CDSSs) in Primary Healthcare (PHC). Fol lowing the PRISMA-ScR guidelines,we systematically searched five databases,Pub Med,Scopus,CINAHL,IEEE,and Google Scholar,and manually searched related art icles. Only CDSSs powered by AI targeted to physicians and tested in real clinic al PHC settings were included. From a total of 421 articles,6 met our criteria. We found AI-CDSSs from the US,Netherlands,Spain,and China whose primary task s included diagnosis support,management and treatment recommendations,and comp lication prediction. Secondary objectives included lessening physician work burd en and reducing healthcare costs."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors IIDA,Yosuke (Kanagawa,JP); KATO,Chisa (Kanagawa,JP); KUNO,Hiroyuki (Kanagaw a,JP); MIZUNO,Yotaro (Kanagawa,JP); NAKAI,Yusuke (Kanagawa,JP),filed on Se ptember 8,2023,was made available online on March 14,2024,according to news reporting originating from Washington,D.C.,by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: " "Technical Field "Embodiments of the present disclosure relate to a sheet conveying device,an au tomatic document feeder,and an image forming apparatus.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors Coskun,Huseyin (Garfield,NJ,US); Moore,Joshua (New York,NY,US); Wang,Chen (Great Neck,NY,US); Zareian,Alireza (Huntington Beach,CA,US),filed on Sep tember 7,2022,was made available online on March 14,2024,according to news r eporting originating from Washington,D.C.,by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "As mobile devices continue to be in widespread use,content continuously is uploaded to the Internet and made available to the public. Some content is relevant to users while other content may not be. Users constantly seek better systems for discovering and searching for relevant conten t. Some aspects used for searching for and finding relevant content rely on the activities depicted in the content,such as in video frames of the content. Cert ain automated systems exist for analyzing video content and categorizing such co ntent,but the pursuit of understanding human activities in videos is a fundamen tal problem in computer vision."
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