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 originating from Prague, Czech Republic, by N ewsRx correspondents, research stated, “We address the problem of a coordination among machine learning tools solving different problems of radio resource manag ement. We focus on energy efficient device-to-device (D2D) communication in a sc enario with many devices communicating adhoc directly with each other.” Financial support for this research came from Grant Agency of the Czech Republic .
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Hefei, People’ s Republic of China, by NewsRx correspondents, research stated, “Protein- DNA com plex interactivity plays a crucial role in biological activities such as gene ex pression, modification, replication and transcription.”Financial supporters for this research include National Natural Science Foundati on of China; The National Key Research And Development Program of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Debre M arkos University by NewsRx correspondents, research stated, “According to natura l language processing experts, there are numerous ambiguous words in languages.” Our news correspondents obtained a quote from the research from Debre Markos Uni versity: “Without automated word meaning disambiguation for any language, the de velopment of natural language processing technologies such as information extrac tion, information retrieval, machine translation, and others are still challengi ng task. Therfore, this paper presents the development of a word sense disambigu ation model for duplicate alphabet words for the Ge’ez language using corpus-bas ed methods. Because there is no wordNet or public dataset for the Ge’ez language , 1010 samples of ambiguous words were gathered. Afterwards, the words were prep rocessed and the text was vectorized using bag of words, Term Frequency-Inverse Document Frequency, and word embeddings such as word2vec and fastText. The vecto rized texts are then analysed using the supervised machine learning algorithms s uch Naive Bayes, decision trees, random forests, K-nearest neighbor, linear supp ort vector machine, and logistic regression. Bag of words paired with random for ests outperformed all other combinations, with an accuracy of 99.52% .”
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 originating from City University of Ho ng Kong by NewsRx correspondents, research stated, “The advent of artificial int elligence (AI) in the workplace is pressuring employees to learn how to harness this technology.” Financial supporters for this research include Li Ka Shing Foundation; Universit y Grants Committee Research Grants Council. Our news journalists obtained a quote from the research from City University of Hong Kong: “The goal of promoting AI literacy is to equip educated citizens with the readiness to apply AI. The aim of this study is to provide evidence to guid e the development of an AI Literacy Framework to prepare educated citizens to pa rticipate in future society. We report on a 14-h AI literacy course for senior s econdary students, emphasising problem-solving competence development and adopti ng the project-based learning approach. One hundred and twenty-eight students co mpleted the course, and a mixed-methods analysis was conducted to evaluate the r esults. A post-course test showed that the course had improved the students’ abi lity to use AI concepts in solving real-life problems. Self-surveys indicated th at the students showed a significant improvement in their metacognitive strategi es in problem-solving, and had a better understanding of the ethical boundaries and principles that govern the use of AI for problem-solving.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Northern Border University by NewsRx correspondents, research stated, “The ri se of Artificial Intelligence in educational contexts has sparked both excitemen t and trepidation, highlighting the urgent need to investigate its implications, especially in English Language Teaching. In light of this context, this study a imed to find out how English language teachers perceive the pedagogical benefits and challenges posed by ChatGPT when incorporated into ELT and identify potenti al avenues for such digital innovations.” The news editors obtained a quote from the research from Northern Border Univers ity: “Adopting a qualitative research design, data were purposively collected by distributing an open-ended questionnaire to 46 English language teachers from m ultiple countries. This sample was solicited via the academic and research platf orm ResearchGate, assuring a broad representation of academic ranks and teaching experience. Thematic analysis was used to unpack the rich textual responses. Fi ndings revealed that, while teachers recognize ChatGPT’s potential to facilitate personalized and dynamic learning interactions, they also harboured perceptible concerns regarding linguistic fidelity, potential overreliance on the tool, and the possibility of creativity suppression. In addition, the perceived limitatio ns of the instrument in developing crucial language skills such as listening and speaking were highlighted. The data further emphasized the need for targeted pr ofessional development and agile curriculum adaptation to maximize the potential of ChatGPT and other AI tools.”
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 Ghent, Belgium, b y NewsRx editors, research stated, “Within this paper we will account for a coop eration between Ghent University based Assyriologists and computational linguist s that has set up a pilot study to analyse the language used in Old Babylonian ( OB) letters using Natural Language Processing (NLP) techniques.” Financial supporters for this research include Beslpo. The news correspondents obtained a quote from the research from Ghent University : “OB letters make up an interesting dataset because (1) they form an invaluable source for everyday vernacular language, and (2) more than 5000 have been recov ered, many of which are accessible in transliteration and translation through th e series Altbabylonische Briefe and the Cuneiform Digital Library Initiative. Ba sed on a first batch of letters from OB Sippar, later extended by other Akkadian letters, we aim to develop machine learning approaches to perform semi-automati c text analysis and annotation of the letters. We will here present a Part-of-Sp eech (PoS) tag prediction model using machine learning. The input data is Akkadi an in transliteration and the best performing model is a fine-tuned Multilingual BERT Transformer with Word embeddings (weighted avg F1: 90.19 %).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Sing apore, Singapore, by NewsRx correspondents, research stated, “Battery management systems (BMSs) play a critical role in electric vehicles (EVs), relying heavily on two essential factors: the state of charge (SOC) and state of health (SOH).” Financial supporters for this research include China Scholarship Council. The news editors obtained a quote from the research from Newcastle University in Singapore: “However, accurately estimating the SOC and SOH in lithium-ion (Li-i on) batteries remains a challenge. To address this, many researchers have turned to machine learning (ML) techniques. This study provides a comprehensive overvi ew of both BMSs and ML, reviewing the latest research on popular ML methods for estimating the SOC and SOH.”
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 in Seattle, Washi ngton, by NewsRx journalists, research stated, “We study interpretable recidivis m prediction using machine learning (ML) models and analyze performance in terms of prediction ability, sparsity, and fairness. Unlike previous works, this stud y trains interpretable models that output probabilities rather than binary predi ctions, and uses quantitative fairness definitions to assess the models.” Financial supporters for this research include Arnold Ventures, Department of Co mputer Science at Duke University, Department of Electrical and Computer Enginee ring at Duke University, Lord Foundation of North Carolina.
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 is the subjec t of a report. According to news reporting out of Genoa, Italy, by NewsRx editor s, research stated, “Research in neurophysiology has shown that humans are able to adapt the mechanical stiffness at the hand in order to resist disturbances. T his has served as inspiration for optimising stiffness in robot arms during mani pulation tasks.” Financial support for this research came from Istituto Nazionale per l’Assicuraz ione Contro Gli Infortuni sul Lavoro. Our news journalists obtained a quote from the research from the Italian Institu te of Technology, “Endpoint stiffness is modelled in Cartesian space, as though the hand were in independent rigid body. But an arm is a series of rigid bodies connected by articulated joints. The contribution of the joints and arm configur ation to the endpoint stiffness has not yet been quantified. In this paper we us e mathematical optimisation to find conditions for maximum stiffness and complia nce with respect to an externally applied force. By doing so, we can retroactive ly explain observations made about humans using these mathematically optimal con ditions. We then show how this optimisation can be applied to robotic task plann ing and control. Experiments on a humanoid robot show similar arm posture to tha t observed in humans. This suggests there is an underlying physical principle by which humans optimise stiffness.”
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 originating in Lisbon, Portu gal, by NewsRx journalists, research stated, “Although the empowerment of techno logy is of great value to society, little is known about its downstream effects on consumers ‘ decisions. This research draws on the expectation -confirmation t heory and autonomy in artificial intelligence (AI) and investigates how AI (vs. autonomous choice) has detrimental effects on consumer outcomes, creating an aut onomy -technology tension - i.e., the conflict arising from AI technology dimini shing consumers ‘ autonomy in their choices.” Financial support for this research came from Fundacao para a Ciencia e a Tecnol ogia (FCT).
NETL
NSTL