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    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.

    Reports from Korea National University of Transportation Advance Knowledge in Machine Learning (Fast and Energy-Efficient Oblique Decision Tree Implementation with Potential Error Detection)

    23-24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 – A new study on artificial intelligence is now available. According to news reporting originating from Korea National University of Transportation by NewsRx correspondents, research stated, “In the contemporary landscape, with the proliferation of cyber-physical systems and the Internet of Things, intelligent embedded systems have become ubiquitous.” Funders for this research include Ministry of Education. Our news editors obtained a quote from the research from Korea National University of Transportation: “These systems derive their intelligence from machine learning algorithms that are integrated within them. Among many machine learning algorithms, decision trees are often favored for implementation in such systems due to their simplicity and commendable classification performance. In this regard, we have proposed the efficient implementations of a fixed-point decision tree tailored for embedded systems. The proposed approach begins by identifying an input vector that might be classified differently by a fixed-point decision tree than by a floating-point decision tree. Upon identification, an error flag is activated, signaling a potential misclassification. This flag serves to bypass or disable the subsequent classification procedures for the identified input vector, thereby conserving energy and reducing classification latency."

    Research from Beijing University of Posts and Telecommunications Yields New Data on Machine Learning (A dataset of oracle charac- ters for benchmarking machine learning algorithms)

    24-25页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting from Beijing University of Posts and Telecommunications by NewsRx journalists, research stated, “Oracle bone script is an ancient Chinese writing system engraved on turtle shells and animal bones, serving as a valuable resource for interpreting ancient culture, history, and language.” Funders for this research include National Natural Science Foundation of China; China Postdoctoral Science Foundation. The news journalists obtained a quote from the research from Beijing University of Posts and Telecom- munications: “We introduce the Oracle-MNIST dataset, comprising of 28 x 28 grayscale images of 30,222 ancient characters from 10 categories, designed for benchmarking pattern classification, with particular challenges related to image noise and distortion. The training set totally consists of 27,222 images, and the test set contains 300 images per class. Oracle-MNIST follows the same data format with the original MNIST dataset, enabling direct compatibility with all existing classifiers and systems, but it constitutes a more challenging classification task than MNIST.”

    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.”

    Studies from Department of Industrial Engineering Yield New Data on Machine Learning (Smart Medical Appointment Scheduling: Op- timization, Machine Learning, and Overbooking to Enhance Re- source Utilization)

    26-27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 new report. According to news reporting out of the Department of Industrial Engineering by NewsRx editors, research stated, “Scheduling medical appointments plays a fundamental role in managing patient flow and ensuring high-quality care.” Financial supporters for this research include Universidad Del Bio-bio Research Group “operations Management, Sustainability And Data Science”; Universidad Del Bio-bio Project. Our news editors obtained a quote from the research from Department of Industrial Engineering: “However, no-shows can significantly disrupt this process and affect patient care. To address this challenge, healthcare facilities can adopt different strategies, including overbooking in medical consultations. While this reduces the risk of unused slots, it can generate associated costs and affect the perception of service quality. In this article, we propose an integer linear optimization model that maximizes the expected utility of a medical center, considering the risk of no-shows and overbooking. For this purpose, machine learning is used to estimate the propensity of each patient to attend their medical appointment, using real data from three medical specialties of a hospital.”

    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.