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    Tsinghua University Reports Findings in Machine Learning (Descriptor-augmented m achine learning for enzyme-chemical interaction predictions)

    35-36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 originating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Descriptors play a pi votal role in enzyme design for the greener synthesis of biochemicals, as they c ould characterize enzymes and chemicals from the physicochemical and evolutionar y perspective. This study examined the effects of various descriptors on the per formance of Random Forest model used for enzyme-chemical relationships prediction.”

    University Hospital San Carlos Reports Findings in Arthroplasty ([Translated article] Clinical results of total hip arthroplast y assisted by robotic arm in Spain: Preliminary study)

    36-37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 Surgery - Arthroplasty is the subject of a report. According to news reporting out of Madrid, Spain, b y NewsRx editors, research stated, “Clinical, radiological and functional result s of the first Spanish series of patients undergoing total hip arthroplasty assi sted by Mako® (Stryker) robotic arm at the Hospital Clinico San Carlos (HCSC) in Madrid. Prospective and descriptive study analyzing the first 25 patients who u nderwent robotic-assisted THA at the HCSC, with a minimum follow-up of 4 months. ”

    Findings on Machine Learning Reported by Investigators at University of Technolo gy Sydney (Machine Learning Scopes On Microgrid Predictive Maintenance: Potentia l Frameworks, Challenges, and Prospects)

    38-38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 out of Sydney, Australia, by NewsRx editors, research stated, “Predictive maintenance is an essential aspect of micr ogrid operations as it enables identifying potential equipment failures in advan ce, reducing downtime, and increasing the overall efficiency of the system. Mach ine learning-based techniques have a great potential to be effective in improvin g the accuracy of failure predictions, detecting, and diagnosing faults in real- time, and monitoring the health and remaining useful life of microgrid component s.”

    Reports Outline Machine Learning Study Results from KIET Group of Institutions ( Recommendation of Machine Learning Techniques for Software Effort Estimation usi ng Multi-Criteria Decision Making)

    39-39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 from the KIET Group of Instit utions by NewsRx journalists, research stated, “For the development of the softw are industry, Software Effort Estimation (SEE) is one of the essential tasks. Pr oject managers can overcome budget and time overrun issues by accurately estimat ing a software project’s development effort in the software life cycle.”

    Reports from Peking University Describe Recent Advances in Robotics (Integrated Tracking Control of an Underwater Bionic Robot Based On Multimodal Motions)

    40-40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 Robotics is the subjec t of a report. According to news reporting originating in Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “As a key technology for autonomous underwater operations, precise tracking control in tight space enviro nments is a great challenge. With the aid of high maneuverability of the underwa ter bionic robot, this article proposes an integrated tracking control framework for a robotic dolphin to move through narrow areas, including top-level plannin g, middle-level tracking, and bottom-level control allocation.”

    Recent Findings from University of Technology Sydney Has Provided New Informatio n about Robotics (Deep Reinforcement Learning In Nonstationary Environments With Unknown Change Points)

    41-41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 Robotics have been published. According to news reporting originating in Ultimo, Australia, b y NewsRx journalists, research stated, “Deep reinforcement learning (DRL) is a p owerful tool for learning from interactions within a stationary environment wher e state transition and reward distributions remain constant throughout the proce ss. Addressing the practical but challenging nonstationary environments with tim e-varying state transition or reward function changes during the interactions, i ngenious solutions are essential for the stability and robustness of DRL agents. ”

    New York University Grossman School of Medicine Reports Findings in Artificial I ntelligence (Leveraging Generative AI Tools to Support the Development of Digita l Solutions in Health Care Research: Case Study)

    42-42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 from New Y ork City, New York, by NewsRx correspondents, research stated, “Generative artif icial intelligence has the potential to revolutionize health technology product development by improving coding quality, efficiency, documentation, quality asse ssment and review, and troubleshooting. This paper explores the application of a commercially available generative artificial intelligence tool (Chat- GPT) to the development of a digital health behavior change intervention designed to suppor t patient engagement in a commercial digital diabetes prevention program.”

    Study Findings on Machine Learning Described by a Researcher at School of Archit ectural Engineering (Hyper ensembled extreme gradient boosting techniques via no vel triple algorithms to appraise the hardened properties of modern ternary admi xed ...)

    43-44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 artificial in telligence. According to news originating from Shanxi, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Mechanical parameters used in man y design codes can be achieved by expensive and time-consuming experiments or by nondestructive approaches such as estimative modelling. This investigation pro posed Extreme Gradient Boost (XGB) for estimating the slump (SL) and compressive strength (CS) of high-performance concrete (HPC).”

    University of Limerick Reports Findings in Artificial Intelligence (Charting the future of patient care: A strategic leadership guide to harnessing the potentia l of artificial intelligence)

    43-43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 from Limer ick, Ireland, by NewsRx correspondents, research stated, “Artificial Intelligenc e (AI) applications have the potential to revolutionize conventional healthcare practices, creating a more efficient and patient-centred approach with improved outcomes. This guide discuses eighteen AIbased applications in clinical decisio n-making, precision medicine, operational efficiency, and predictive analytics, including a real-world example of AI’s role in public health during the early st ages of the COVID-19 pandemic.”

    University of Sheffield Researchers Update Current Study Findings on Machine Lea rning (CME Arrival Modeling with Machine Learning)

    45-46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 originating from the University of Shef field by NewsRx editors, the research stated, “Space weather phenomena have long captured the attention of the scientific community, and along with recent techn ological developments, the awareness that such phenomena can interfere with huma n activities on Earth has grown considerably. Coronal mass ejections (CMEs) are among the main drivers of space weather.”