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    Research on Machine Learning Described by Researchers at Leibniz Institute for S olid State and Materials Research (Designing materials by laser powder bed fusio n with machine learning-driven bi-objective optimization)

    27-28页
    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 from Dresden, Ger many, by NewsRx correspondents, research stated, “To exploit the full industrial potential of additive manufacturing (AM) beyond prototyping, the resource-consu ming identification of the optimal processing conditions needs to be minimized.” Funders for this research include German Research Foundation; German Electron-sy nchrotron; Leibnitz Association; Alexander Von Humboldt Foundation.

    University of Southern Florida Details Findings in Robotics (Multiobject Graspi ng-experience Forest for Robotic Finger Movement Strategies)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Tampa, Florida, by NewsRx journalists, r esearch stated, “This letter introduces a novel Experience Forest algorithm desi gned for multi-object grasping (MOG). Different from single-object grasping, for MOG, the hand poses of a few steps before the end of grasping play important ro les in the success of MOG.” The news reporters obtained a quote from the research from the University of Sou thern Florida, “But similar to single-object grasping, the hand poses that are f ar from the end grasping pose are not as relevant. Therefore, the proposed appro ach invented the Experience Forest structure to organize the finger movement seq uences collected in naive MOG approaches with a set of trees instead of a single tree. The algorithm propagates success or failure results in the trials from en d-pose nodes only to the nodes representing several preceding hand poses. When u sing the trees to generate a grasping sequence, the algorithm generates a finger -movement policy that follows a MOG synergy at the beginning and then transits t o a tree in the Experience Forest and then employs a breadth-first search to ach ieve a more reliable solution.”

    New Robotics Findings Has Been Reported by Investigators at Shanghai University of Engineering Science [Dynamic Path Planning for Mobile Robo ts Based On Artificial Potential Field Enhanced Improved Multiobjective Snake Op timization (Apf-imoso)]

    30-31页
    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 originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “With the widespre ad adoption of mobile robots, effective path planning has become increasingly cr itical. Although traditional search methods have been extensively utilized, meta -heuristic algorithms have gained popularity owing to their efficiency and probl em-specific heuristics.” Our news editors obtained a quote from the research from the Shanghai University of Engineering Science, “However, challenges remain in terms of premature conve rgence and lack of solution diversity. To address these issues, this paper propo ses a novel artificial potential field enhanced improved multiobjective snake op timization algorithm (APF-IMOSO). This paper presents four key enhancements to t he snake optimizer to significantly improve its performance. Additionally, it in troduces four fitness functions focused on optimizing path length, safety (evalu ated via artificial potential field method), energy consumption, and time effici ency. The results of simulation and experiment in four scenarios including stati c and dynamic highlight APF-IMOSO’s advantages, delivering improvements of 8.02% , 7.61%, 50.71%, and 12.74% in path leng th, safety, energy efficiency, and time-savings, respectively, over the original snake optimization algorithm. Compared with other advanced meta-heuristics, APF -IMOSO also excels in these indexes. Real robot experiments show an average path length error of 1.19% across four scenarios.”

    Fondazione Policlinico Universitario A. Gemelli IRCCS Reports Findings in Artifi cial Intelligence (Artificial intelligence to predict individualized outcome of acute ischemic stroke patients: The SIBILLA project)

    31-32页
    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 originating from Rome, Italy, by NewsRx correspondents, research stated, “Formulating reliable prognosis for isc hemic stroke patients remains a challenging task. We aimed to develop an artific ial intelligence model able to formulate in the first 24 h after stroke an indiv idualized prognosis in terms of NIHSS.” Our news journalists obtained a quote from the research from Fondazione Policlin ico Universitario A. Gemelli IRCCS, “Seven hundred ninety four acute ischemic st roke patients were divided into a training (597) and testing (197) cohort. Clini cal and instrumental data were collected in the first 24 h. We evaluated the per formance of four machine-learning models (Random Forest, -Nearest Neighbors, Sup port Vector Machine, XGBoost) in predicting NIHSS at discharge both in terms of variation between discharge and admission (regressor approach) and in terms of s everity class namely NIHSS 0-5, 6-10, 11-20, >20 (classi fier approach). We used Shapley Additive exPlanations values to weight features impact on predictions. XGBoost emerged as the best performing model. The classif ier and regressor approaches perform similarly in terms of accuracy (80% vs 75%) and f1-score (79% vs 77%) respec tively. However, the regressor has higher precision (85% vs 68% ) in predicting prognosis of very severe stroke patients (NIHSS > 20). NIHSS at admission and 24 hours, GCS at 24 hours, heart rate, acute ischem ic lesion on CT-scan and TICI score were the most impacting features on the pred iction. Our approach, which employs an artificial intelligence based-tool, inher ently able to continuously learn and improve its performance, could improve care pathway and support stroke physicians in the communication with patients and ca regivers.”

    Findings from China University of Petroleum (East China) Provides New Data on Ma chine Learning (Oil- Water Flowing Experiments and Watercut Range Classification Approach Using Distributed Acoustic Sensing)

    32-33页
    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 Ma chine Learning. According to news reporting from Qingdao, People’s Republic of C hina, by NewsRx journalists, research stated, “The accurate measurement of dynam ic water cut is of great interest for analyzing reservoir performance and optimi zing oilwell production. Downhole water- cut measurement is a very challenging w ork.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Reports Summarize Robotics Findings from University of the Chinese Academy of Sc iences (Robust Depth and Heading Control System for a Novel Robotic Dolphin With Multiple Control Surfaces)

    33-34页
    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 Robotics have been published. According to news originating from Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “For field tasks, it is quit e challenged to operate in a complex environment for the underwater robots, espe cially for those with multiple control surfaces due to different response and ga in characteristics. To this end, this paper develops a highly integrated robotic dolphin followed by a robust motion control system.” Our news journalists obtained a quote from the research from the University of t he Chinese Academy of Sciences, “For better maneuverability and fault-tolerant c apabilities, a newly-designed robotic dolphin is presented, owning a wide array of sensors and multiple control surfaces, in which passive flukes are particular ly applied. On this basis, a robust motion control system is proposed, including a depth controller based on velocity-related allocation strategies and a headin g controller based on clearance compensation. In detail, considering the degrada tion of motion performance caused by passive flukes, a sliding mode controller f or gain uncertainty and an allocation-related parameter tuning strategy for inpu ts response characteristics are designed. Extensive simulations and aquatic expe riments are conducted, and the obtained results demonstrate the satisfied maneuv erability of the designed prototype and the effectiveness of the proposed method s. This study can lay a foundation for further development of robotic dolphins w ith a robust motion system to execute complex tasks in the field. Note to Practi tioners-This paper is inspired by the issue of robust motion control system for a newly-designed practical robotic dolphin that possesses a passive tail and red undant control surfaces. The traditional methods are usually susceptible to unce rtainties in the passive tail gain, exhibiting degraded control performance. Mor eover, control oscillations and slow convergence speed often occur caused by neg lecting the characteristics of different control surfaces, including response pa tterns and clearance. This paper suggests a robust depth controller based on vel ocity-related allocation strategies and a robust heading controller based on cle arance compensation. Specifically, an allocationrelated parameter tuning strate gy is given by considering inputs response characteristics, including response s peed, saturations, and hydrodynamic force variation patterns. To guarantee fine regulations of heading control, a nonlinear disturbance observer (NDOB)-based cl earance compensation is proposed. Extensive aquatic experiments on the newly-des igned robotic dolphin verified the effectiveness of the proposed methods.”

    New Findings from Purdue University in the Area of Robotics Described (Unveiling the Role of Congruity In Service Robot Design and Deployment)

    36-37页
    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 Robotic s. According to news originating from West Lafayette, Indiana, by NewsRx corresp ondents, research stated, “PurposeThis paper aims to examine the congruency effe cts of physically embodied robots in service encounters, this study conducte d a pretest and two experimental studies revealing the need to view robot design holistically and recognizing the pivotal role of congruity in shaping consumers ’ service robot adoption. The moderating role of service purposes (utilitarian v s hedonic) was also investigated in terms of robot design and consumer reactions .FindingsConsumers generally tend to favor robots with congruent designs, partic ularly for utilitarian service purposes.”

    University College London (UCL) Reports Findings in Machine Learning (Machine Le arning Assisted Experimental Characterization of Bubble Dynamics in Gas-Solid Fl uidized Beds)

    38-39页
    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 out of London, United Kingdom , by NewsRx editors, research stated, “This study introduces a machine learning (ML)-assisted image segmentation method for automatic bubble identification in g as-solid quasi-2D fluidized beds, offering enhanced accuracy in bubble recogniti on. Binary images are segmented by the ML method, and an in-house Lagrangian tra cking technique is developed to track bubble evolution.” Our news journalists obtained a quote from the research from University College London (UCL), “The ML-assisted segmentation method requires few training data, a chieves an accuracy of 98.75%, and allows for filtering out common sources of uncertainty in hydrodynamics, such as varying illumination conditions and out-of-focus regions, thus providing an efficient tool to study bubbling in a standard, consistent, and repeatable manner. In this work, the ML-assisted me thodology is tested in a particularly challenging case: structured oscillating f luidized beds, where the spatial and time evolution of the bubble position, velo city, and shape are characteristics of the nucleation-propagation-rupture cycle. The new method is validated across various operational conditions and particle sizes, demonstrating versatility and effectiveness. It shows the ability to capt ure challenging bubbling dynamics and subtle changes in velocity and size distri butions observed in beds of varying particle size. New characteristic features o f oscillating beds are identified, including the effect of frequency and particl e size on the bubble morphology, aspect, and shape factors and their relationshi p with the stability of the flow, quantified through the rate of coalescence and splitting events.”

    New Machine Learning Findings Reported from Hunan University (Recent Innovations In Laser Additive Manufacturing of Titanium Alloys)

    40-41页
    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 Changsha, People’s R epublic of China, by NewsRx editors, research stated, “Titanium (Ti) alloys are widely used in high-tech fields like aerospace and biomedical engineering. Laser additive manufacturing (LAM), as an innovative technology, is the key driver fo r the development of Ti alloys.” Financial supporters for this research include Singapore RIE 2025 MTC, Young Ind ividual Research Grants, Agency for Science Technology & Research (A*STAR), National Natural Science Foundation of China (NSFC), National Science Foundation (NSF).

    Vilnius University Reports Findings in Artificial Intelligence (Artificial intel ligence: Can it help us better grasp the idea of epilepsy? An exploratory dialog ue with ChatGPT and DALL·E 2)

    42-43页
    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 in Vilnius , Lithuania, by NewsRx journalists, research stated, “The conceptual definition of epilepsy has been changing over decades and remains debatable. We assessed ho w artificial intelligence (AI) conceives epilepsy and its impact on a person’s l ife through verbal and visual material.” The news reporters obtained a quote from the research from Vilnius University, “ We asked the Chat Generative Pre-Trained Transformer (ChatGPT, OpenAI) to define epilepsy and its impact. Prompts from ChatGPT were transferred to another AI to ol DALL·E 2 (Open AI) to generate visual images based on verbal input. The ChatG PT definition on epilepsy relied on both its conceptual and practical definition s. It titled epilepsy to be ‘a neurological disorder characterized by recurring seizures’ that has significant impact on patients’ lives and is diagnosed after two or more unprovoked seizures or if there is a high risk of future seizures. C hatGPT presented nine issues - seizure-related injuries, limitations on daily ac tivities, emotional and psychological impact, social stigma and isolation, educa tional and employment challenges, relationship and family dynamics, medication s ide effects, financial burden, and coexisting conditions - as major consequences of epilepsy. AI-generated images ranged from direct portrayals of these phenome na to abstract imagery but were mostly deprived of symbolic elements and visual metaphors. We showed that AI can identify and visually interpret the burden of e pilepsy from medical, societal and economical perspectives. However, the imagery created is not figurative and does not follow allegorical narratives put forwar d by epilepsy specialists in similar studies.”