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    University of Technology Researchers Broaden Understanding of Artificial Intelli gence (Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis)

    11-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Baghdad, Iraq, by NewsRx editors, research stated, “Large Language Models (LLMs) have become a ho t topic in AI due to their ability to mimic human conversation. This study compa res the open artificial intelligence generative pretrained transformer-4 (GPT-4) model, based on the (GPT), and Google’s artificial intelligence (AI), which is based on the Bidirectional Encoder Representations from Transformers (BERT) fram ework in terms of the defined capabilities and the built-in architecture.” Financial supporters for this research include Australian Research Council.

    Italy National Research Council Institute of Chemistry of Organometallic Compoun ds Reports Findings in Machine Learning (Machine-Learning-Accelerated DFT Confor mal Sampling of Catalytic Processes)

    12-12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 originating from Pisa, Italy, by NewsRx correspondents, research stated, “Computational modeling of catalytic processes at gas/solid interfaces plays an increasingly important role in chemi stry, enabling accelerated materials and process optimization and rational desig n. However, efficiency, accuracy, thoroughness, and throughput must be enhanced to maximize its practical impact.” Our news editors obtained a quote from the research from the Italy National Rese arch Council Institute of Chemistry of Organometallic Compounds, “By combining i nterpolation of DFT energetics via highly accurate Machine-Learning Potentials w ith conformal techniques for building the training database, we present here an original approach (that we name Conformal Sampling of Catalytic Processes, CSCP) , to accelerate and achieve an accurate and thorough sampling of novel systems b y exporting existing information on a worked-out case. We use methanol decomposi tion (of interest in the field of hydrogen production and storage) as a test cat alytic reaction. Starting from worked-out Pt-based systems, we show that after o nly two iterations of active-learning CSCP is able to provide reaction energy di agrams for a set of 7 diverse systems (Pd, Ni, Au, Ag, Cu, Co, Fe) leading to DF T-accuracy-level predictions. Cases exhibiting a change in adsorption sites and mechanisms are also successfully reproduced as tests of catalytic path modificat ion.”

    New Machine Learning Study Findings Have Been Reported by a Researcher at Univer sity of Gaziantep (Utilizing machine learning techniques for enhanced water qual ity monitoring)

    13-13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 Gaziantep, Turkey, by NewsRx editors, research stated, “ABSTRACT: Water quality is an important issue for environmental health.” The news journalists obtained a quote from the research from University of Gazia ntep: “It directly impacts human well-being, ecosystem sustainability and socioe conomic development. This paper provides an overview for water quality assesment by integrating traditional methods with computational technology. Dimensionalit y reduction is considered an essential preprocessing step in any data analysis t ask which can be performed by using either feature selection or feature extracti on methods. In this study, we propose an autoencoder-based feature selection met hod that can be used with both labeled and unlabeled data. It can be implemented with an arbitrary number of hidden layers in the symmetric encoder part of the autoencoder and provides results that compare favorably with the results provide d by computationally more expensive methods and also provides a quantitatively o rdered rank of features for the features in the dataset.”

    New Machine Learning Research from Korea Institute of Science and Technology Des cribed (Machine Learning Based Abnormal Gait Classification with IMU Considering Joint Impairment)

    13-14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 Seoul, South Korea, by NewsRx correspondents, research stated, “Gait analysis systems are cri tical for assessing motor function in rehabilitation and elderly care.” Funders for this research include Korea Innovation Foundation; Korean National P olice Agency; Kist Intramural Grants.

    Findings from Cadi Ayyad University Broaden Understanding of Machine Learning (P rediction of Residential Building Occupancy Using Machine Learning With Integrat ed Sensor and Survey Data: Insights From a Living Lab In Morocco)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting originating from Marrakech, Morocco, b y NewsRx correspondents, research stated, “Building occupancy information is ess ential for effective energy management in buildings through the adoption of ener gy conservation and occupant-centric control strategies. These strategies endeav or to contribute to optimizing energy consumption while ensuring occupant comfor t.”Funders for this research include OCP Foundation, Ministry of Higher Education, Scientific Research and Innovation, Morocco.

    Report Summarizes Machine Learning Study Findings from Chinese Academy of Scienc es (Monitoring of Total Phosphorus in Urban Water Bodies Using Silicon Crystal-B ased FTIR-ATR Coupled with Different Machine Learning Approaches)

    15-16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 artificial intelligence. According to news reporting from Nanjing, People’s Repu blic of China, by NewsRx journalists, research stated, “Eutrophication occurs fr equently in urban water bodies, and rapid measurement of phosphorus (P) is neede d for water quality control, since P has been one of the limiting factors.” Funders for this research include National Natural Science Foundation of China.

    Sichuan University Reports Findings in Artificial Intelligence (Application of a rtificial intelligence in lung cancer screening: A real-world study in a Chinese physical examination population)

    16-17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 in Chengdu , People’s Republic of China, by NewsRx journalists, research stated, “With the rapid increase of chest computed tomography (CT) images, the workload faced by r adiologists has increased dramatically. It is undeniable that the use of artific ial intelligence (AI) image-assisted diagnosis system in clinical treatment is a major trend in medical development.” Financial supporters for this research include Natural Science Foundation of Sic huan Province, Sichuan Province Science and Technology Support Program, National Natural Science Foundation of China, Science and Technology Project of Sichuan, Science and Technology Project of Sichuan.

    Studies in the Area of Machine Learning Reported from China Agricultural Univers ity (An Integrated Approach To Obtain Highprecision Regional Root Water Uptake Maps)

    17-18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 Machine Learning have been presented. According to news reporting originating in Beijing, People’s Re public of China, by NewsRx journalists, research stated, “Root water uptake (RWU ) is exceptionally difficult to determine in situ due to its unique nature of oc curring underground. Accurately characterizing the spatial-temporal characterist ics of RWU at a regional scale remains a significant challenge, and high-precisi on regional-scale RWU maps have not yet been reported.” Financial support for this research came from Chinese Universities Sci-entific F und.

    Charles Sturt University Reports Findings in Artificial Intelligence (Gender and ethnicity bias in generative artificial intelligence textto- image depiction of pharmacists)

    18-19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 Wagga Wagga, Australia, by NewsRx correspondents, research stated, “In Australia, 64% of pharmacists are women but continue to be under-represented. Generative artifi cial intelligence (AI) is potentially transformative but also has the potential for errors, misrepresentations, and bias.” Our news editors obtained a quote from the research from Charles Sturt Universit y, “Generative AI textto- image production using DALL-E 3 (OpenAI) is readily ac cessible and user-friendly but may reinforce gender and ethnicity biases. In Mar ch 2024, DALL-E 3 was utilized to generate individual and group images of Austra lian pharmacists. Collectively, 40 images were produced with DALL-E 3 for evalua tion of which 30 were individual characters and the remaining 10 images were com prised of multiple characters (N = 155). All images were independently analysed by two reviewers for apparent gender, age, ethnicity, skin tone, and body habitu s. Discrepancies in responses were resolved by third-observer consensus. Collect ively for DALL-E 3, 69.7% of pharmacists were depicted as men, 29. 7% as women, 93.5% as a light skin tone, 6.5% as mid skin tone, and 0% as dark skin tone. The gender distributio n was a statistically significant variation from that of actual Australian pharm acists (P <.001). Among the images of individual pharmacis ts, DALL-E 3 generated 100% as men and 100% were lig ht skin tone. This evaluation reveals the gender and ethnicity bias associated w ith generative AI text-to-image generation using DALL-E 3 among Australian pharm acists.”

    Reports Summarize Machine Learning Study Results from University of Waterloo (A Novel Machine Learning-based Approach for In-situ Surface Roughness Prediction I n Laser Powder-bed Fusion)

    19-20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 originating from Waterloo, Canada, by NewsRx corre spondents, research stated, “Controlling and optimizing surface roughness remain a significant challenge in laser powder bed fusion (LPBF). Surface roughness af fects printed part quality, particularly fatigue life, leading to costly post-pr ocessing.” Funders for this research include Natural Sciences and Engineering Research Coun cil of Canada (NSERC), Canada Research Chairs.