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 Rajasthan, India , by NewsRx journalists, research stated, "Generative Artificial Intelligence mo dels are Artificial Intelligence models that generate new content based on a pro mpt or input. The output content can be in various forms, including text, images , and video." Financial support for this research came from CHANAKYA Fellowship Program of TIH Foundation for IoT IoE. The news correspondents obtained a quote from the research from the Birla Instit ute of Technology and Science, "Metaverse refers to a virtual world where users can interact with each other, objects and events in an immersive, realistic, and dynamic manner. A critical and foremost step in realizing the Metaverse is cont ent creation for its different realms. Given Metaverse's need for enormous conte nt, Generative AI is a perfect technology for content creation. This paper explo res how Generative AI models can help fulfil the potential of the Metaverse by a ssisting in the design and production of various aspects of the Metaverse and at tracting users not just by creating dynamic, interactive, and personalised conte nt at scale but also by producing various revenue-generating opportunities for u sers and organisations in the Metaverse. The paper analyses the Generative AI mo dels by grouping them according to the type of content they generate, namely tex t, image, video, 3D visual, audio, and gaming. Various use cases in the Metavers e are explored and listed according to each type of AI Generated Content (AIGC). This paper also presents several applications and scenarios where the mixture o f different Generative AI (GAI) models benefits the Metaverse. Further, this pap er also enumerates the limitations and chAllenges of Generative AI models and th e areas of future work."
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 - Androids is the subject of a report. According to news originating from Tianjin, People's R epublic of China, by NewsRx correspondents, research stated, "The motion accurac y, compliance, and control smoothness for the surgical robot are of great import ance to improve the safety of human-robot interaction. However, the end effector that interacts with soft tissue during surgery affects the dynamics of the robo t." Our news journalists obtained a quote from the research from Tiangong University , "The control performance of the controller may be decreased if the changing dy namics are not identified and updated in time. This paper proposes a robust impe dance controller for the redundant remote center of motion manipulator influence d by external disturbances, including external torque, uncertainties, and unmode led terms in the dynamics. To achieve the desired impedance, a continuously swit ching sliding manifold is proposed. When the sliding manifold is driven to zero, the motion error will converge to a bounded region. This can overcome the adver se effects of external disturbances while guaranteeing motion accuracy and compl iance. Chattering of the sliding mode control is Alleviated through the formulat ed continuously switching sliding manifold and integrated nonlinear disturbance observer. Simulations and experiments demonstrate that the proposed controller h as excellent motion accuracy, compliance, and control smoothness."
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 reporting from Kista, Sw eden, by NewsRx journalists, research stated, "The recent breakthroughs in machi ne learning (ML) and deep learning (DL) have catalyzed the design and developmen t of various intelligent systems over wide application domains." Our news reporters obtained a quote from the research from RISE Research Institu tes of Sweden: "While most existing machine learning models require large memory and computing power, efforts have been made to deploy some models on resource-c onstrained devices as well. A majority of the early application systems focused on exploiting the inference capabilities of ML and DL models, where data capture d from different mobile and embedded sensing components are processed through th ese models for application goals such as classification and segmentation."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Telangana, India, by NewsRx correspondents, research stated, "In recent years, the assessme nt of structural integrity and durability of concrete systems has significantly advanced with the integration of novel sensing technologies and data-driven tech niques. This study introduces an innovative approach that utilizes electro-mecha nical impedance (EMI) data acquired through embedded piezo sensors (EPS) to moni tor and analyze the condition of blended concrete systems."
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 from Karlsruhe, Germany, by NewsRx journalis ts, research stated, "Process automation is essential to establish an economical ly viable circular factory in high-wage locations." Our news editors obtained a quote from the research from Karlsruhe Institute of Technology (KIT): "This involves using autonomous production technologies, such as robots, to disassemble, reprocess, and reassemble used products with unknown conditions into the original or a new generation of products. This is a complex and highly dynamic issue that involves a high degree of uncertainty. To adapt ro bots to these conditions, learning from humans is necessary. Humans are the most flexible resource in the circular factory and they can adapt their knowledge and skills to new tasks and changing conditions. This paper presents an interdisci plinary research framework for learning human action knowledge from complex mani pulation tasks through human observation and demonstration. The acquired knowled ge will be described in a machine-executable form and will be transferred to ind ustrial automation execution by robots in a circular factory."
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 Taiyuan, People's Republic of China, by NewsRx editors, research stated, "Most available grasp detection meth ods tend to directly predict grasp configurations with deep neural networks, whe re All features are equAlly extracted and utilized, leading to the relative rest riction of truly useful grasping features. Inspired by the observed three-sectio n structure pattern revealed by human-labeled graspable rectangles, we first des ign a structure prior attention (SPA) module which uses two-dimensional encoding to enhance the local patterns and utilizes self-attention mechanism to reAlloca te distribution of grasping-specific features." Funders for this research include National Natural Science Foundation of China ( NSFC), Fundamental Research Program of Shanxi Province, Science and Technology I nnovation 2030-"New Generation of Artificial Intelligence" Major Program, Scienc e and Technology Major Project of Shanxi Province, The 1331 Engineering Project of Shanxi Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Nervous System Diseases and Condi tions - Delirium is the subject of a report. According to news reporting out of Graz, Austria, by NewsRx editors, research stated, "Delirium is a syndrome that leads to severe complications in hospitalized patients, but is considered preven table in many cases. One of the biggest chAllenges is to identify patients at ri sk in a hectic clinical routine, as most screening tools cause additional worklo ad." Our news journalists obtained a quote from the research, "The aim of this study was to validate a machine learning (ML)-based delirium prediction tool on surgic al in-patients undergoing a systematic assessment of delirium. 738 in-patients o f a vascular surgery, a trauma surgery and an orthopedic surgery department were screened for delirium using the DOS scale twice a day over their hospital stay. Concurrently, delirium risk was predicted by the ML algorithm in real-time for All patients at admission and evening of admission. The prediction was performed automaticAlly based on existing EHR data and without any additional documentati on needed. 103 patients (14.0%) were screened positive for delirium using the DOS scale. Out of them, 85 (82.5%) were correctly identi fied by the ML algorithm. Specificity was slightly lower, detecting 463 (72.9% ) out of 635 patients without delirium. The AUROC of the algorithm was 0.883 (95 % CI, 0.8523-0.9147). In this prospective validation study, the im plemented machine-learning algorithm was able to detect patients with delirium i n surgical departments with high discriminative performance."
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 artificial in telligence have been published. According to news reporting originating from the University of Oviedo by NewsRx correspondents, research stated, "Transmedia ski ll, derived from the process of converting films into educational games using au gmented reality and artificial intelligence, involves employing various language s and mediums to adapt an original narrative to another format. This transmedia practice presents an opportunity to cultivate diverse skills in teacher training by transforming film narratives into educational games with Augmented Reality ( AR) and Artificial Intelligence (AI)." Financial supporters for this research include Universidad De Oviedo. The news reporters obtained a quote from the research from University of Oviedo: "Moreover, these educational games enable student engagement in missions or cha llenges, enhancing their engagement with educational activities. Thus, this rese arch stems from an Innovation project implemented in the Degree in Early Childho od Education (N=77) with two groups of university students who developed 24 educ ational games in physical and digital formats. The objectives are: 1) to compare the transmedia process adopted by both groups when converting children's animat ion films into games, some in digital format and others combining physical and d igital resources; and 2) to analyze their transmedia skill reflected in the game s developed. The methodology adopted is non-experimental empirical, with a descr iptive and comparative nature. Two instruments were designed and validated, one to analyze the transmedia process followed in each case and another to ascertain the level of transmedia skill of the university students. The results reveal th at both groups chose different creative approaches to gamify the films, expandin g their stories by leveraging the potential of AR and AI to create interactive c haracters and settings. From this, their transmedia capability could be inferred ."
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 Punjab, India, by NewsR x journalists, research stated, "Dynamic recrystAllization (DRX), a resultant of severe plastic deformation occurring at moderately high temperatures, plays a p ivotal role in deciding the structural integrity of the material being processed via solid-state friction stir-based techniques such as friction stir welding, p rocessing and additive manufacturing (FS-W/P/AM). This article presents insight into the types, features, and characterization of DRX, as well as a comprehensiv e review of factors affecting DRX phenomena in terms of microstructural evolutio n and mechanical properties." Financial support for this research came from TIET-VT Center of Excellence in Em erging Materials (CEEMS), TIET, Patiala.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Telemedicine - Telepat hology is the subject of a report. According to news reporting originating in Bo gota, Colombia, by NewsRx journalists, research stated, "In Colombia, cancer is recognized as a high-cost pathology by the national government and the Colombian High-Cost Disease Fund. As of 2020, the situation is most critical for adult ca ncer patients, particularly those under public healthcare and residing in remote regions of the country." The news reporters obtained a quote from the research from Fundacion Universitar ia de Ciencias de la Salud, "The highest lag time for a diagnosis was observed f or cervical cancer (79.13 days), followed by prostate (77.30 days), and breast c ancer (70.25 days). Timely and accurate histopathological reporting plays a vita l role in the diagnosis of cancer. In recent years, digital pathology has been g lobAlly implemented as a technological tool in two main areas: telepathology (TP ) and computational pathology. TP has been shown to improve rapid and timely dia gnosis in anatomic pathology by facilitating interaction between general laborat ories and specialized pathologists worldwide through information and telecommuni cation technologies. Computational pathology provides diagnostic and prognostic assistance based on histopathological patterns, molecular, and clinical informat ion, aiding pathologists in making more accurate diagnoses. We present the study protocol of the GLORIA digital pathology network, a pioneering initiative, and national grant-approved program aiming to design and pilot a Colombian digital p athology transformation focused on TP and computational pathology, in response t o the general needs of pathology laboratories for diagnosing complex malignant t umors. The study protocol describes the design of a TP network to expand oncopat hology services across All Colombian regions."
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