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    Researchers at China Agricultural University Report New Data on Artificial Intel ligence (Application of Artificial Intelligence Techniques In Meat Processing: a Review)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, researchstated, “The field of meat processing plays a critical role in the food industry and has seen increasing adoption of artificial intelligence (AI) technology with rapid techn ological advancements. AI technologyhas tremendous potential for enhancing prod uction efficiency and product quality in meat processing.”

    University of Cyprus Reports Findings in Personalized Medicine (Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting fr om Nicosia, Cyprus, by NewsRx journalists, research stated, “Inthe pursuit of a dvancing cancer therapy, this study explores the predictive power of machine lea rning inanalyzing tumor characteristics, specifically focusing on the effects o f tumor stiffness and perfusion (i.e.,blood flow) on treatment efficacy. Recent advancements in oncology have highlighted the significance ofthese physiologic al properties of the tumor microenvironment in determining treatment outcomes.”

    Study Findings on Machine Learning Detailed by a Researcher at Polytechnic Unive rsity Milan (A Novel Machine Learning-Based Approach for Fault Detection and Loc ation in Low-Voltage DC Microgrids)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting fromMilano, Italy, by NewsRx jou rnalists, research stated, “DC microgrids have gained significant attention inr ecent years due to their potential to enhance energy efficiency, integrate renew able energy sources, andimprove the resilience of power distribution systems.”

    New Machine Learning Findings from Shandong University of Science and Technology Reported (High-precision Water Depth Inversion In Nearshore Waters With Sar and Machine Learning)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Achieving highprecision,hi gh-resolution monitoring of nearshore water depth is essential for addressing ma rinedisastersand environmental variations. Synthetic aperture radar(SAR) imagin g offers the advantage of all-day,all-weather observations of coastlines, and i maging is unaffected by water quality.”

    Central South University Researchers Update Current Study Findings on Machine Le arning (Research on prediction of PPV in openpit mine used RUN-XGBoost model)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingout of Hunan, People’s Republic o f China, by NewsRx editors, research stated, “The drill-blasting methodis a com monly used mining technique in open-pit mines, and the peak particle velocity (P PV) causedby blasting vibrations is an important indicator for evaluating the r ationality of blasting mining designparameters.”Financial supporters for this research include Central South University; State K ey Laboratory of SafetyAnd Health For Metal Mines.

    Studies from University of Bonn Yield New Data on Robotics (Semisupervised Acti ve Learning for Semantic Segmentation In Unknown Environments Using Informative Path Planning)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Bonn, German y, by NewsRx correspondents, research stated, “Semantic segmentationenables rob ots to perceive and reason about their environments beyond geometry. Most of such systems build upon deep learning approaches.”Financial support for this research came from German Research Foundation (DFG).

    Reports Summarize Machine Learning Findings from University of Alaska Anchorage [Complexity of Arctic Ocean Water Isotope (D18o, D2h) Spatial and Temporal Patterns Revealed With Machine Learning]

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Anchor age, Alaska, by NewsRx journalists, research stated, “The stableisotope composi tions of water (618O, 62H, deuterium-excess) are important tracers that help ill uminatethe changing Arctic water cycle and how Arctic-sourced water can influen ce lower latitudes. We presentsimultaneous boundary layer water vapor and ocean water isotope data that were measured continuouslyin the western Arctic Ocean. ”

    Research Findings from Centre for Nanotechnology Update Understanding of Machine Learning (Progress of machine learning in materials design for Li-Ion battery)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from the Centre for Nanotechnology by NewsRx correspondents, research stated, “Thewidespread ad option of lithium-ion batteries has ushered in a transformative era across indus tries, poweringan array of devices from portable electronics to electric vehicl es.”The news journalists obtained a quote from the research from Centre for Nanotech nology: “Thisreview explores recent advancements in machine learning tools tail ored for improving battery materials,management strategies, and system-level op timization. It provides a comprehensive overview of the currentlandscape, empha sizing the less-explored evolution of machine learning algorithms in battery mat erials.Machine learning integration enhances our understanding of material prop erties, accelerates the discoveryof efficient compositions, and contributes to the development of more durable lithium-ion batteries. Thearticle also delves i nto machine learnings role in predicting State of Health and remaining useful li fe,crucial for proactive battery maintenance.”

    New Findings from Duke University in the Area of Machine Learning Described (Mac hine Learning for Engineering Meta-atoms With Tailored Multipolar Resonances)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Durham, North Carolin a, by NewsRx journalists, research stated, “In the rapidly developingfield of n anophotonics, machine learning (ML) methods facilitate the multi-parameter optim ization processesand serve as a valuable technique in tackling inverse design c hallenges by predicting nanostructuredesigns that satisfy specific optical prop erty criteria. However, while considerable efforts have been devotedto applying ML for designing the overall spectral response of photonic nanostructures, ofte n withoutelucidating the underlying physical mechanisms, physics-based models r emain largely unexplored.”

    Recent Studies from University of Essex Add New Data to Computational Intelligen ce (Rstnet: Recurrent Spatial-temporal Networks for Estimating Depth and Ego-mot ion)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Essex, United Kingdom, by NewsRx editors, researchstated, “Depth map a nd ego-motion estimations from monocular consecutive images are challenging tou nsupervised learning Visual Odometry (VO) approaches. This paper proposes a nove l VO architecture:Recurrent Spatial-Temporal Network (RSTNet), which can estima te the depth map and ego-motion frommonocular consecutive images.”