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    Studies from University of Wisconsin Madison Update Current Data on Artificial Intelligence [In-mold Condition-centered and Explain- able Artificial Intelligence-based (Imc-xai) Process Optimization for Injection Molding]

    19-20页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial Intelligence have been published. According to news reporting from Madison, Wisconsin, by NewsRx journalists, research stated, “This paper proposes a novel injection molding process optimization method based on the in-mold condition (IMC) and interpreted influence of in-mold condition features on part quality. In-mold condition is crucial for process optimization because it represents the actual process condition in the cavity where the polymer material is formed into the final part shape.” Funders for this research include University of Wisconsin-Madison Office of the Vice Chancellor for Research and Graduate Education (VCRGE), Wisconsin Alumni Research Foundation (WARF), AJOU- Frontier Scholarship Program - Ajou University, Consolidated Papers Foundation Chair Professorship by the Mead Witter Foundation.

    Studies from University of Electronic Science and Technology of China Add New Findings in the Area of Robotics (Terrain Slope Pa- rameter Recognition for Exoskeleton Robot In Urban Multi-terrain Environments)

    20-21页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Robotics is now available. According to news reporting originating in Sichuan, People’s Republic of China, by NewsRx journalists, research stated, “Lower limb augmentation exoskeletons (LLAE) have been applied in several domains to enforce human walking capability. As humans can adjust their joint moments and generate different amounts of mechanical energy while walking on different terrains, the LLAEs should provide adaptive augmented torques to the wearer in multi-terrain environments, which requires LLAEs to implement accurate terrain parameter recognition.” Funders for this research include National Natural Science Foundation of China (NSFC), Sichuan Science and Technology Program.

    New Robotics Study Findings Recently Were Reported by Re- searchers at Beihang University [Multimode Control Strategy for Robotic Rehabilitation On Special Orthogonal Group So(3)]

    21-22页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – 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 reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Robot-assisted reha- bilitation for three-degree-of-freedom joints, such as hip and ankle, is significant for patients with motor function injuries. The control of such robots involves attitude control.” Financial supporters for this research include National Key Ramp;D Program of China, National Natural Science Foundation of China (NSFC).

    Nottingham University Business School Reports Findings in Artifi- cial Intelligence (Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deploy- ment, and use of artificial intelligence in ...)

    22-23页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Nottingham, United Kingdom, by NewsRx editors, the research stated, “Autonomous and intelligent systems (AIS) are being developed and deployed across a wide range of sectors and encompass a variety of technologies designed to engage in different forms of independent reasoning and self-directed behavior. These technologies may bring considerable benefits to society but also pose a range of risk management challenges, particularly when deployed in safety-critical sectors where complex interactions between human, social, and technical processes underpin safety and resilience.” Financial support for this research came from Wellcome Trust.

    De La Salle University Researcher Releases New Data on Robotics (Application of Fuzzy Logic for Robotic Arm Joint Control of an Explosive Ordnance Disposal Unit)

    25-25页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on robotics have been published. According to news originating from Manila, Philippines, by NewsRx editors, the research stated, “Precise luffing of payload in mobile cranes is a crucial part of material handling and safety in industrial operations.” Our news editors obtained a quote from the research from De La Salle University: “Explosive ordnance disposal uses a bomb disposal robot to safely disable explosive devices at a safe distance. This robot is a mobile jib crane type with a gripper as an end effector instead of the typical suspension cable with a hook. The common challenge of this crane type is the arm/jib movement sensitivity with respect to tip-over stability of the crane body. This is directly influenced by the payload and constrained by the degree of freedom. This paper presents a control strategy of the joint for luffing such that the back wheels remain in contact with the surface ground and avoid bucking at any given instance of weight change in the payload.”

    Huainan Normal University Researcher Reveals New Findings on Intelligent Systems (An intelligent decision methodology for trian- gular Pythagorean fuzzy MADM and applications to college English teaching quality evaluation)

    26-26页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on intelligent systems have been published. According to news reporting originating from Anhui, People’s Republic of China, by NewsRx correspondents, research stated, “The development of contemporary college English teaching methods and practice should respect the subjective will of college students; fully tap their wisdom and potential; constantly innovate college English teaching methods, teaching practice activities, classroom teaching, and teaching evaluation models; create a good teaching atmosphere; and establish the concept of developmental evaluation.”

    Study Findings from University of Leuven (KU Leuven) Broaden Understanding of Machine Learning (Personality and Susceptibility To Political Microtargeting: a Comparison Between a Machine- learning and Self-report Approach)

    27-28页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting out of Leuven, Belgium, by NewsRx editors, research stated, “Based on recent technological advances, campaigners and political actors can use psychographic-based political marketing. Yet, empirical evidence about its effectiveness is still very limited.” Financial support for this research came from Digital Communication Methods Lab from the University of Amsterdam. Our news journalists obtained a quote from the research from the University of Leuven (KU Leuven), “Based on self-congruity theory, a pre-registered experiment (N = 280) investigated the persuasion effects of personality-congruent political microtargeting on the attitude toward the political party and voting intentions of citizens. More precisely, the focus was on the thinking vs feeling personality dimension (MBTI), and it was tested whether this personality ‘interacts’ with exposure to a matching advertising appeal: rational vs. emotional political ad. To do so, two different methodological approaches were used: 1) a machine learning approach; 2) a self-report survey measure of personality. Results revealed significant ‘congruence effects’ between personality and ad appeal, and showed that perceived ad relevance was serving as the underlying mechanism (mediator). However, these results were only found when the self-report measure of personality was used. When the algorithmic approach was used, no significant results were found.”

    Studies Conducted at Northwest University on Machine Learning Recently Reported (Direct Exchange In Ultra-thin Ferromagnetic Janus Mxenes)

    28-29页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “The development of spintronic devices urgently requires ultra-thin two-dimensional (2D) ferromagnetic materials with high Curie temperature (Tc), TC however, there are few natural intrinsic ferromagnetic 2D materials. The successful synthesis of Janus monolayer MoSSe in experiments provides a new approach for designing new 2D materials.” Funders for this research include National Natural Science Foundation of China (NSFC), Nature Science Foundation of Shaanxi province, Youth Innovation Team of Shaanxi Universities.

    Reports from Jiangxi University of Technology Advance Knowledge in Machine Translation (Optimization of Translation Techniques be- tween English and Chinese Literary Works in the Information Age)

    30-31页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in machine translation. According to news reporting originating from Jiangxi University of Technology by NewsRx correspondents, research stated, “Under the background of cultural globalization, English-Chinese literary translation plays an important role in which it is not only a process of language conversion, but also a process of cultural conversion.” The news editors obtained a quote from the research from Jiangxi University of Technology: “In this paper, the BiGUR-LM-Attention optimization model is fused and constructed using the WordNet semantic similarity model, GRU-LM one-way gated similarity model, and BiGR-LM two-way gated similarity model. The LDA theme model is selected to generate the 3-layer Bayesian network structure of literary works’ paragraphs, themes and words to obtain the probability information that represents the highest attention of the work’s text theme, which constitutes the attention mechanism feature word vector. Finally, five classic literary works are selected as the training corpus to compare and analyze the translation quality between machine translation and human translation in the mutual translation of English and Chinese literary works.”

    University of Debrecen Reports Findings in Robotics (Robots for surgeons? Surgeons for robots? Exploring the acceptance of robotic surgery in the light of attitudes and trust in robots)

    31-32页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting out of Debrecen, Hungary, by NewsRx editors, research stated, “Over the last century, technological progress has been tremendous, and technological advancement is reflected in the development of medicine. This research assessed attitudes towards surgical robots and identified correlations with willingness to participate in robotic surgery based on factors influencing trust in automated systems.” Our news journalists obtained a quote from the research from the University of Debrecen, “Using data from a survey, which included the Multi-dimensional Robot Attitude Scale (MdRAS) and a questionnaire consisting of attitude statements regarding the factors affecting trust in automated systems, the experiment assessed the attitudes of healthcare workers and potential patients towards surgery robots, and attempted to find a correlation between these attitudes, age, and gender. Statistical evaluation of the responses (N = 197) showed that positive attitude towards surgical robots showed a high correlation with the willingness to participate in robotic surgery and gave the strongest correlations with the MdRAS utility and negative attitude towards robots subscales. For the assessment of willingness, the MdRAS subscales alone did not provide a strong enough correlation. All factors examined showed a significant correlation with participation. Having faith in the surgery robot, the propensity to trust technology, the designer’s reputation, the ease of work that a surgical robot provides, positive experience with robots, and believing the surgeon is competent at operating the machine seemed to have been the most important positive correlations, while fear of errors gave the highest negative correlation. The healthcare workers and potential patients showed significant differences in the subscales of the questionnaire perceived risk and knowledge but no significant difference in the characteristics of the surgical robot. There was no difference in willingness to participate between the samples. Age did not show a significant correlation with the score achieved and willingness in any of the samples. Significant differences were found between male and female respondents, with men having more positive attitudes and being more likely to participate in surgeries using surgery robots than women.”