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Ultime notizie sull'apprendimento automatico

Below are excerpts of the latest Machine Learning news found online, copyrighted and direct link to their respective authors. Found, selected, and sorted. Any problem or additional source you would like to include here, please contact us.

  • Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intell...
    Cancer is one of the most life-threatening diseases worldwide, and head and neck (H&N) cancer is a prevalent type with hundreds of thousands of new cases recorded each year. Clinicians use medical imaging modalities such as computed tomography and positron emission tomography to detect the presence of a tumor, and...
    Fonte: arXiv.org | EESS by <a href="http://arxiv.org/find/eess/1/au:+Sobirov_I/0/1/0/all/0/1">Ikboljon Sobirov</a>
  • Energies, Vol. 16, Pages 4520: Forecasting the Return of Carbon Price in the Chi...
    Recently, carbon price forecasting has become critical for financial markets and environmental protection. Due to their dynamic, nonlinear, and high noise characteristics, predicting carbon prices is difficult. Machine learning forecasting often uses stacked ensemble algorithms. As a result, common stacking has many limitations when applied to time series data, as...
    Fonte: MDPI by Peng Ye
  • J, Vol. 6, Pages 318-341: Benchmarking Thermodynamic Models for Optimization of...
    In this review, the authors conducted benchmarks for three thermodynamic models to analyze PSA-based medical oxygen concentrator (MOC) systems to allow for optimization and operational flexibility. PSA oxygen generator plants are good medical-grade oxygen sources, a crucial tool in healthcare from the primary to the tertiary level. However, they must...
    Fonte: MDPI by Michael L. Carty
  • 8Flow.ai raises $6.6M to automate customer support workflows
    Working in customer support often means navigating disjointed tools to find data and solve issues. However, many of these actions are routine and repeatable, making them ideal candidates for automation. 8Flow.ai, which is launching out of stealth today and announcing a $6.6 million seed funding round, wants to do exactly...
    Fonte: TechCrunch di Frederic Lardinois
  • Trusted Data And Transparency In Sustainability Reporting
    Many organizations wonder what sustainability metrics will be both practical for success and compliant with new proposed regulations. Read the full article "Trusted Data And Transparency In Sustainability Reporting" on Facility Executive Magazine....
    Fonte: Facility Executive by Jen Goetz
  • Machine-Learning-Accelerated Screening of Single Metal Atoms Anchored on MnPS3 M...
    Nanoscale, 2023, Accepted ManuscriptDOI: 10.1039/D3NR02130K, PaperXinyi Li, Shiru Lin, Tingyu Yan, Zhongxu Wang, Qinghai Cai, Jing-Xiang ZhaoSearching for bifunctional oxygen electrocatalysts with good catalytic performance to promote the oxygen evolution/reduction reactions (OER/ORR) is of great significance to the development of sustainable and renewable clean energy. Herein,...The content of this RSS...
    Fonte: RSC | Nanoscala by Xinyi Li
  • Low-code ML platform Predibase raises another $12.2M
    End-to-end machine learning platform Predibase today announced a $12.2 million expansion to its $16.25 million Series A funding round from last year. The company also announced that its low-code, declarative ML platform for developers is now generally available. During the beta period, which launched when the company came out of...
    Fonte: TechCrunch di Frederic Lardinois
  • Mastering Uncertainty: An Effective Approach to Training Machines for Real-World...
    Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own. Someone learning to......
    Fonte: SciTech Daily by Adam Zewe, Massachusetts Institute of Technology
  • New tool helps people choose the right method for evaluating AI models
    Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions....
    Fonte: MIT: Ricerca di Adam Zewe | Ufficio stampa del MIT
  • Sensors, Vol. 23, Pages 5245: WARNING: A Wearable Inertial-Based Sensor Integrat...
    Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome this limitation, artificial-intelligence-based technologies have demonstrated their potential. The paper aims at presenting WARNING, an inertial-based wearable sensor integrated with a support vector machine algorithm to automatically identify race-walking faults. Two WARNING sensors were used...
    Fonte: MDPI by Juri Taborri
  • Brain Sciences, Vol. 13, Pages 893: fMRI-Based Alzheimer’s Disease Detecti...
    In the present scenario, Alzheimer’s Disease (AD) is one of the incurable neuro-degenerative disorders, which accounts for nearly 60% to 70% of dementia cases. Currently, several machine-learning approaches and neuroimaging modalities are utilized for diagnosing AD. Among the available neuroimaging modalities, functional Magnetic Resonance Imaging (fMRI) is extensively utilized for...
    Fonte: MDPI by Aarthi Chelladurai
  • Google engineers used real dogs to develop an agility course for robots
    A robot dog 'Barkour' course may provide a new industry standard for four-legged machines. Deposit PhotosResearchers hope the 'Barkour' challenge can become an industry benchmark. The post Google engineers used real dogs to develop an agility course for robots appeared first on Popular Science....
    Fonte: Popular Science: Popular Science di Andrew Paul
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