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    Studies from University of Durham Provide New Data on Machine Learning (Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle In the Haystack Problem)

    74-74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 Learning have been published. According to newsoriginating from Durham, United Kingdom, by NewsRx correspondents, research stated, “Over the lasttwo decades the organic solar cell community has synthesized tens of thousands of novel polymers andsmall molecules in the search for an optimum light harvesting material. These materials are often crudelyevaluated simply by measuring the current-voltage (JV) curves in the light to obtain power conversionefficiencies (PCEs).”

    New Artificial Intelligence Findings from Qatar University Described (Chatbots Put to the Test in Math and Logic Problems: A Comparison and Assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on artificial intelligence have been published. According to news reportingoriginating from Qatar University by NewsRx correspondents, research stated, “In an age where artificialintelligence is reshaping the landscape of education and problem solving, our study unveils the secretsbehind three digital wizards, ChatGPT-3.5, ChatGPT-4, and Google Bard, as they engage in a thrillingshowdown of mathematical and logical prowess. We assess the ability of the chatbots to understand thegiven problem, employ appropriate algorithms or methods to solve it, and generate coherent responses withcorrect answers.”

    Gemelli Molise Hospital Reports Findings in Machine Learning (Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: a multi-institutional study)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Campobasso, Italy, by NewsRx journalists, research stated, “We aimed to develop andvalidate different machine-learning (ML) prediction models for the complete response of oligometastaticgynecological cancer after SBRT. One hundred fifty-seven patients with 272 lesions from 14 differentinstitutions and treated with SBRT with radical intent were included.”

    Data from Saint Petersburg Electrotechnical University 'LETI' Broaden Understanding of Machine Learning (Improved Social Network User Recommendation System-The Machine Learning Approach)

    76-76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 originatingfrom St. Petersburg, Russia, by NewsRx correspondents, research stated, “In this paper, we propose arecommendation system for social media users which makes recommendations on the basis of the userprofile information and the contents posted by users-the bio-aware algorithm.”

    Findings from University of Transport Technology Broaden Understanding of Machine Learning (Interpretable Machine Learning Model for Evaluating Mechanical Properties of Concrete Made With Recycled Concrete Aggregate)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Hanoi, Vietnam, by NewsRx correspondents, research stated, “The main objective of this paper is to use the data-driven approach to predict and evaluate the mechanical properties of concretemade with recycled concrete aggregate (RCA), including compressive strength and elastic modulus. Using358 data samples, including 10 input variables, 10 popular machine learning (ML) algorithms are introducedto select the best ML performance model for predicting RCA concrete’s compressive strength and elasticmodulus.”

    Reports Summarize Machine Learning Study Results from University of Sao Paulo (Exploring Ordered Patterns In the Adjacency Matrix for Improving Machine Learning On Complex Networks)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting outof Sao Carlos, Brazil, by NewsRx editors, research stated, “The use of complex networks as a modernapproach to understanding the world and its dynamics is well-established in the literature. The adjacencymatrix, which provides a one-to-one representation of a complex network, can also yield several metrics ofthe graph.”

    New Findings from Universiti Teknikal Malaysia Melaka in the Area of Human-Centric Intelligent Systems Described (CSI-Based Location Independent Human Activity Recognition Using Deep Learning)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on human-centric intelligent systems have been presented. Accordingto news reporting originating from the Universiti Teknikal Malaysia Melaka by NewsRx correspondents,research stated, “Human Activity Recognition (HAR) is widely used in various applications, from smarthomes and healthcare to the Internet of Things (IoT) and virtual reality gaming.”

    Study Findings on Robotics Published by a Researcher at University of New Hampshire (Ethical Consideration in Home Monitoring Assistive Robot For Cognitive Impairment: A Scoping Review)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotics. According to news reporting from Durham,New Hampshire, by NewsRx journalists, research stated, “As the aging population continues to grow, thedemand for innovative technologies to support individuals with cognitive impairment in their daily lives hasrisen significantly.”

    New Machine Learning Data Have Been Reported by Investigators at Cardiff University (Tool Condition Monitoring of Diamond-coated Burrs With Acoustic Emission Utilising Machine Learning Methods)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Cardiff, United Kingdom, by NewsRx editors, research stated, “Within manufacturing there is agrowing need for autonomous Tool Condition Monitoring (TCM) systems, with the ability to predict toolwear and failure. This need is increased, when using specialised tools such as Diamond-Coated Burrs(DCBs), in which the random nature of the tool and inconsistent manufacturing methods create largevariance in tool life.”

    Data from University of Michigan Broaden Understanding of Machine Learning (Exploring the dependence of gas cooling and heating functions on the incident radiation field with Machine Learning)

    82-83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 intelligence is the subject of a new report. According tonews originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Gas cooling andheating functions play a crucial role in galaxy formation. But, it is computationally expensive to exactlycompute these functions in the presence of an incident radiation field.”