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    Reports Summarize Robotics Findings from Fudan University (Enhancing Human-robot Communication With a Comprehensive Language-conditioned Imitation Policy for Em bodied Robots In Smart Cities)

    101-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Shanghai, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Integratin g Embodied Robots into a smart city’s networked system can significantly enhance the city’s operational efficiency. These robots can be connected to the city’s network, receiving and transmitting data in real time for enhancing human-robot communications.”

    Research from University of Toulouse Provide New Insights into Machine Learning (Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of the University of Tou louse by NewsRx editors, research stated, “Downy mildew is a plant disease that affects all cultivated European grapevine varieties. The disease is caused by th e oomycete Plasmopara viticola.”

    Studies from University of Warsaw Yield New Information about Artificial Intelli gence (Adversarial Attacks and Defenses In Explainable Artificial Intelligence: a Survey)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news originating from Warsaw, Poland, by NewsRx c orrespondents, research stated, “Explainable artificial intelligence (XAI) metho ds are portrayed as a remedy for debugging and trusting statistical and deep lea rning models, as well as interpreting their predictions. However, recent advance s in adversarial machine learning (AdvML) highlight the limitations and vulnerab ilities of state -of -the -art explanation methods, putting their security and t rustworthiness into question.”

    Investigators at Department of Electrical Engineering Report Findings in Machine Learning (Predicting Global Horizontal Irradiance of North Central Region of In dia Via Machine Learning Regressor Algorithms)

    103-104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 Machine Learn ing. According to news originating from New Delhi, India, by NewsRx corresponden ts, research stated, “The ability to predict global horizontal irradiance (GHI) in the wake of changing weather conditions is becoming increasingly important in driving economic growth in the renewable energy industry. The choice of relevan t meteorological variables for predicting GHI is crucial because it influences t he prediction accuracy due to various geographical conditions.”

    Studies Conducted at Delhi Technological University on Artificial Intelligence R ecently Reported (A Comprehensive Review On Federated Learning for Data-sensitiv e Application: Open Issues & Challenges)

    104-105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 Artificial In telligence have been published. According to news originating from Delhi, India, by NewsRx correspondents, research stated, “Artificial intelligence employs Mac hine Learning (ML) and Deep Learning (DL) to analyze data. In both, the data is stored centrally.” Our news journalists obtained a quote from the research from Delhi Technological University, “The data involved may be sensitive and leakage may incur consequen ces. Applications dealing with intimate data, with critical results, cannot affo rd this risk and are termed Data-Sensitive Applications (DSA). Some examples are healthcare, finance, etc. The data required for DSA cannot be stored centrally due to large amounts, or isolated data islands. The ML and DL techniques followi ng a data-centralized approach have difficulties in handling the scattered data frequently associated with DSA. Federated Learning (FL) acknowledges the scatter ed data and provides a more secure and efficient way to analyze such data. This motivates previously reluctant entities like banks to collaborate for variety an d quantity of data. Most DSA transitioned to FL, but the migration is not withou t concerns. These include communication costs, heterogeneity, and malicious atta cks. In this paper, we deeply analyze the role of FL in DSA and provide a taxono my for the studies and implementations of FL. Then we provide an insight into DS A covering works in healthcare and finance. A glance is provided at attempts in non-DSA with possible DSA applications.”

    Federal University Rio de Janeiro Reports Findings in Artificial Intelligence (C omputer vision with artificial intelligence for a fast, low-cost, eco-friendly a nd accurate prediction of beer styles and brands)

    105-106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 Rio d e Janeiro, Brazil, by NewsRx correspondents, research stated, “Beer is the most consumed alcoholic beverage worldwide and are highly susceptible to fraudulent p rocesses. Traditional sensory analysis can lack precision.” Funders for this research include Universidade Federal do Rio de Janeiro, Fundac ao de Amparo a Pesquisa do Estado do Rio Grande do Sul.

    Sun Yat-sen University Reports Findings in Diabetic Retinopathy (Identification of diabetic retinopathy classification using machine learning algorithms on clin ical data and optical coherence tomography angiography)

    106-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nutritional and Metabolic Disease s and Conditions - Diabetic Retinopathy is the subject of a report. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalist s, research stated, “To apply machine learning (ML) algorithms to perform multic lass diabetic retinopathy (DR) classification using both clinical data and optic al coherence tomography angiography (OCTA). In this cross-sectional observationa l study, clinical data and OCTA parameters from 203 diabetic patients (203 eye) were used to establish the ML models, and those from 169 diabetic patients (169 eye) were used for independent external validation.”

    Rice University Reports Findings in Artificial Intelligence (An Assessment of Ho w Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study)

    107-108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 from Houston, Texas, b y NewsRx journalists, research stated, “Nearly one-third of patients with diabet es are poorly controlled (hemoglobin A 9%). Identifying at-risk ind ividuals and providing them with effective treatment is an important strategy fo r preventing poor control.”

    Reports on Machine Learning Findings from Tribhuvan University Provide New Insig hts (Comparative study of machine learning based prediction of supercapacitance performance of activated carbon prepared from Bio-based Materials)

    108-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Lalitpur, Nepal, by N ewsRx editors, research stated, “The performance of electrochemical double-layer capacitors (EDLCs) is evaluated by the capacitance of activated carbon (AC) ele ctrodes.” Our news reporters obtained a quote from the research from Tribhuvan University: “The capacitance of AC electrodes is influenced by many factors such as precurs or type, activation method, pore structure, surface chemistry and electrolytic p roperties. In this paper, we present a comparative study of machine learning bas ed prediction of surface area, mesopore volume and total pore volume of activate d carbon for energy storage applications. The ML models were trained on a datase t of synthetic data that were generated from the limited number of experimental data and which included the activation temperature, methylene blue number and io dine number of the activated carbon (AC). The best performing ML model was rando m forest model and XG boost model.”

    Findings on Machine Learning Reported by Investigators at China University of Ge osciences (Refined Landslide Susceptibility Mapping In Township Area Using Ensem ble Machine Learning Method Under Dataset Replenishment Strategy)

    109-110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 Wuhan, People’s Republic of C hina, by NewsRx editors, research stated, “Landslide susceptibility mapping (LSM ) warrants considerable attention as a prerequisite for risk assessment and prev ention in response to the increasing global occurrences of landslides. However, refined LSM at the township scale still faces the problem of the limited number of landslides and the oversight of relevant factors associated with different la ndslide types.”