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    University of Oulu Reports Findings in Machine Learning (Raman Spectra of Amino Acids and Peptides from Machine Learning Polarizabilities)

    50-50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 reporting from Oulu, Finland, by NewsRx journalists, research stated, “Raman spectroscopy is an important tool in the s tudy of vibrational properties and composition of molecules, peptides, and even proteins. Raman spectra can be simulated based on the change of the electronic polarizability with vibrations, which can nowadays be efficiently obtained via ma chine learning models trained on first-principles data.”

    Study Findings from Sheffield Hallam University Provide New Insights into Machine Learning (Machine Learning Based Compton Suppression for Nuclear Fusion Plasma Diagnostics)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting from Sheffield, United Kingdom, by NewsRx journalists, research stated, “Diagnostics are critical on the path to commercial fusion reactors, since measurements and characterisation of the plas ma is important for sustaining fusion reactions. Gamma spectroscopy is commonly used to provide information about the neutron energy spectrum from activation an alysis, which can be used to calculate the neutron flux and fusion power.”

    New Machine Learning Study Findings Have Been Reported from University of Texas Austin (Identifying Active Galactic Nuclei At z 3 From the Hetdex Survey Using M achine Learning)

    52-53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 Machine Learn ing have been published. According to news reporting out of Austin, Texas, by Ne wsRx editors, research stated, “We used data from the Hobby-Eberly Telescope Dar k Energy Experiment (HETDEX) to study the incidence of AGN in continuum-selected galaxies at z similar to 3. From optical and infrared imaging in the 24 deg(2) Spitzer HETDEX Exploratory Large Area survey, we constructed a sample of photome tric-redshift selected z similar to 3 galaxies. We extracted HETDEX spectra at t he position of 716 of these sources and used machine-learning methods to identif y those which exhibited AGN-like features.”

    Reports on Artificial Intelligence Findings from Eberhard-Karls University Tuebi ngen Provide New Insights (The impact of text topic and assumed human vs. AI aut horship on competence and quality assessment)

    53-54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 Tuebingen, Germany, by NewsRx cor respondents, research stated, “BackgroundWhile Large Language Models (LLMs) are considered positively with respect to technological progress and abilities, peop le are rather opposed to machines making moral decisions. But the circumstances under which algorithm aversion or algorithm appreciation are more likely to occu r with respect to LLMs have not yet been sufficiently investigated.”

    New Machine Learning Findings from China Agricultural University Discussed (Appl icability and Limitation of Compost Maturity Evaluation Indicators: a Review)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Beijing, People's Republic of China , by NewsRx journalists, research stated, “Composting is a resource treatment me thod that uses aerobic microorganisms to convert organic solid waste into stable humus and applied as organic fertilizer. The maturity evaluation of compost is of great significance for its safe application in farmland.”

    Reports from Nguyen Tat Thanh University Advance Knowledge in Robotics (Observer -Based Fault-Tolerant Control for Uncertain Robot Manipulators without Velocity Measurements)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting from Ho Chi Minh City, Vietnam, by NewsRx journalists, research stated, “In recent years, robot manipulator arms have beco me increasingly prevalent and are playing pivotal roles across various industrie s. Their ability to replace human labor in arduous and hazardous tasks has posit ioned them as indispensable assets.”

    New Robotics and Machine Learning Findings from School of Natural Sciences Discu ssed (Vegetation Discrimination Based On Chlorophyll Prediction In Marshy Wetlan d Using Unmanned Aerial Vehicles)

    56-57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 and Machine L earning is the subject of a report. According to news reporting from Greater Noi da, India, by NewsRx journalists, research stated, “Wetlands are an integral par t of our global ecosystems and play crucial roles in ecological functions such a s carbon sequestration, flood mitigation, water purification, and recreational a ctivities. The Ramsar Convention is the most significant wetland protection pact and is doing tremendous work in conserving wetlands worldwide.”

    Reports from University of Washington Describe Recent Advances in Machine Learni ng [Simple Behavioral Analysis (Simba) As a Platform for Expl ainable Machine Learning In Behavioral Neuroscience]

    57-58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 originating from Seattle, Washington, by NewsR x correspondents, research stated, “The study of complex behaviors is often chal lenging when using manual annotation due to the absence of quantifiable behavior al definitions and the subjective nature of behavioral annotation. Integration o f supervised machine learning approaches mitigates some of these issues through the inclusion of accessible and explainable model interpretation.”

    Adiyaman University Researcher Targets Machine Learning (Optimizing Lithium-Ion Battery Performance: Integrating Machine Learning and Explainable AI for Enhanced Energy Management)

    58-59页
    查看更多>>摘要: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 from Adiyaman University by NewsR x journalists, research stated, “Managing the capacity of lithium ion batteries (LiBs) accurately, particularly in large-scale applications, enhances the cost-e ffectiveness of energy storage systems.”

    Stevens Institute of Technology Reports Findings in Machine Learning (DeepSP: De ep learning-based spatial properties to predict monoclonal antibody stability)

    59-60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 reporting from Hoboken, New Jersey, by NewsRx journalists, research stated, “Therapeutic antibody development faces cha llenges due to high viscosities and aggregation tendencies. The spatial charge m ap (SCM) and spatial aggregation propensity (SAP) are computational techniques t hat aid in predicting viscosity and aggregation, respectively.”