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    Johns Hopkins University Reports Findings in Robotics (Steady- Hand Eye Robot 3.0: Optimization and Benchtop Evaluation for Subretinal Injection)

    65-66页
    查看更多>>摘要:New research on Robotics is the subject of a report. According to news originating from Baltimore, Maryland, by NewsRx correspondents, research stated, “Subretinal injection methods and other procedures for treating retinal conditions and diseases (many considered incurable) have been limited in scope due to limited human motor control. This study demonstrates the next generation, cooperatively controlled Steady-Hand Eye Robot (SHER 3.0), a precise and intuitive-to-use robotic platform achieving clinical standards for targeting accuracy and resolution for subretinal injections.”

    U.S. Food and Drug Administration (FDA) Reports Findings in Artificial Intelligence (Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and ...)

    66-67页
    查看更多>>摘要:New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Silver Spring, Maryland, by NewsRx correspondents, research stated, “Understanding an artificial intelligence (AI) model’s ability to generalize to its target population is critical to ensuring the safe and effective usage of AI in medical devices. A traditional generalizability assessment relies on the availability of large, diverse datasets, which are difficult to obtain in many medical imaging applications.”

    New Robotics Findings from Harbin Institute of Technology Reported (Design and Analysis of Adaptive Flipper With Origami Structure for Frog-inspired Swimming Robot)

    67-68页
    查看更多>>摘要:Fresh data on Robotics are presented in a new report. According to news reporting out of Heilongjiang, People’s Republic of China, by NewsRx editors, research stated, “Flippers are important components for improving the locomotion efficiency and stability of bionic underwater robots. A novel origami-based adaptive flipper is presented to address a lack of environmental adaptability and low performance efficiency due to the structural design or inherent characteristics of its main constituent materials.”

    Data on Machine Learning Reported by Yuri G. Rykov and Colleagues (Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment)

    68-69页
    查看更多>>摘要:New research on Machine Learning is the subject of a report. According to news reporting originating from Singapore, Singapore, by NewsRx correspondents, research stated, “Continuous assessment and remote monitoring of cognitive function in individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and modifying treatment to achieve better clinical outcomes. While standardized neuropsychological tests are inconvenient for this purpose, wearable sensor technology collecting physiological and behavioral data looks promising to provide proxy measures of cognitive function.”

    Researcher at Sathyabama Institute of Science and Technology Has Published New Study Findings on Machine Learning (Human Emotion Recognition Based on Machine Learning Algorithms with low Resource Environment)

    69-70页
    查看更多>>摘要:Research findings on artificial intelligence are discussed in a new report. According to news originating from Chennai, India, by NewsRx editors, the research stated, “It is difficult to discover significant audio elements and conduct systematic comparison analyses when trying to automatically detect emotions in speech.” The news editors obtained a quote from the research from Sathyabama Institute of Science and Technology: “In situations when it is desirable to reduce memory and processing constraints, this research deals with emotion recognition. One way to achieve this is by reducing the amount of features. In this study, propose ‘Active Feature Selection’ (AFS) method and compares it against different state-of-the-art techniques. According to the results, smaller subsets of features than the complete feature set can produce accuracy that is comparable to or better than the full feature set.”

    Researchers at SRM Institute of Science and Technology Publish New Study Findings on Machine Learning (Automatic Classification of Railway Complaints using Machine Learning)

    70-70页
    查看更多>>摘要:Investigators discuss new findings in artificial intelligence. According to news originating from the SRM Institute of Science and Technology by NewsRx editors, the research stated, “People may now express their thoughts and ideas with a wider audience because of the popularity of social media sites like Twitter, Instagram, and Facebook.”

    Institute for Rare Diseases Reports Findings in Rare Diseases and Conditions (Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study)

    71-72页
    查看更多>>摘要:New research on Rare Diseases and Conditions is the subject of a report. According to news originating from Plovdiv, Bulgaria, by NewsRx correspondents, research stated, “The delay in diagnosis for rare disease (RD) patients is often longer than for patients with common diseases. Machine learning (ML) technologies have the potential to speed up and increase the precision of diagnosis in this population group.”

    New Artificial Intelligence Findings from Zhejiang University Discussed (From Black Boxes To Actionable Insights: a Perspective On Explainable Artificial Intelligence for Scientific Discovery)

    72-73页
    查看更多>>摘要:Research findings on Artificial Intelligence are discussed in a new report. According to news originating from Zhejiang, People’s Republic of China, by NewsRx correspondents, research stated, “The application of Explainable Artificial Intelligence (XAI) in the field of chemistry has garnered growing interest for its potential to justify the prediction of black-box machine learning models and provide actionable insights. We first survey a range of XAI techniques adapted for chemical applications and categorize them based on the technical details of each methodology.”

    New Findings on Machine Learning from Department of Computer Sciences Summarized (Machine Learning-driven Energy-efficient Load Balancing for Real-time Heterogeneous Systems)

    73-74页
    查看更多>>摘要:Current study results on Machine Learning have been published. According to news reporting out of Oran, Algeria, by NewsRx editors, research stated, “Load balancing plays a critical role in ensuring system stability and optimal performance, and as such, it has been a subject of extensive research across diverse computing domains, particularly in heterogeneous systems. Such systems integrate various computing devices with distinct architectures and computational power, each designed to execute a particular type of workload having diverse and immediate requirements.”

    Studies from Council of Scientific and Industrial Research (CSIR) in the Area of Robotics Published (Simulating object handover between collaborative robots)

    74-74页
    查看更多>>摘要:Current study results on robotics have been published. According to news reporting originating from the Council of Scientific and Industrial Research (CSIR) by NewsRx correspondents, research stated, “Collaborative robots are adopted in the drive towards Industry 4.0 to automate manufacturing, while retaining a human workforce. This area of research is known as human-robot collaboration (HRC) and focusses on understanding the interactions between the robot and a human.”