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 Chennai, India, by Ne wsRx editors, research stated, “In recent days, a digestive abnormality is commo n due to modern life-style and food habits followed. For every ten adults in the world, four suffer from functional gastrointestinal (GI) disorders of varying s everity.” Our news journalists obtained a quote from the research from Department of Elect ronics and Communication Engineering: “Further, this is demonstrated by a study of more than 73,000 people across 33 countries. Also, the subjects who have unde rgone surgery/medication may feel healthy and they cannot feel or realize the in ternal health disorders, resulting in severe consequences. In this regard, an el ectrogastrogram (EGG) has gained more significance since it is non-invasive and involves an easy process for screening digestive abnormalities. EGGs are electri cal signals, which have strong association with digestion. Also, the EGG can be recorded using non-invasive/surface electrodes. In this work, two different cond uctive textile materials, namely stainless-steel fibers and Copper-Nickel-plated nylon, are utilised to fabricate non-invasive electrodes. Further, the develope d electrodes are placed on the abdomen over the stomach and the EGG signals are acquired from healthy individuals. Also, various time and frequency domain featu res are extracted from two different EGG signals acquired using developed electr odes with different materials and are analysed.”
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 the Faculty of Foreign Lang uages by NewsRx editors, the research stated, “Artificial intelligence (AI) tech nologies, such as ChatGPT, are becoming more widely used in language teaching, w ith the potential to alter learning experiences. This study uses semi-structured interviews with ten Vietnamese English-major students to investigate their perc eptions on utilizing ChatGPT for English learning at Nam Can Tho University.” Our news journalists obtained a quote from the research from Faculty of Foreign Languages: “The study investigates the perceived advantages and disadvantages of using ChatGPT as a language learning aid. The findings emphasize various benefi ts that participants reported, including ChatGPT’s capacity to give tailored lan guage practice, instant feedback, and simulated conversational exchanges that im prove speaking, listening, and writing skills. Participants like ChatGPT’s acces sibility and scalability, which respond to individual learning requirements and preferences, resulting in improved engagement and motivation. However, the repor t does identify considerable problems. Participants express concern about the ac curacy and dependability of ChatGPT’s language outputs, pointing out instances o f wrong or culturally insensitive responses. Furthermore, there are concerns reg arding over-reliance on AI for language competency development, which could unde rmine traditional teaching methods and the acquisition of sophisticated language abilities.”
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 Robotics - Robotics and Automation. According to news reporting from Shanghai, P eople’s Republic of China, by NewsRx journalists, research stated, “Online monit oring is a widely used technique in assessing if the performance of the system s atisfies some desired requirements during run-time operation. Existing works on online monitoring usually assume that the monitor can acquire system information periodically at each time instant, which may be unnecessarily energy-consuming. ” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 Madison, Wis consin, by NewsRx correspondents, research stated, “Label-free multimodal imagin g methods that can provide complementary structural and chemical information fro m the same sample are critical for comprehensive tissue analyses. These methods are specifically needed to study the complex tumor-microenvironment where fibril lar collagen’s architectural changes are associated with cancer progression.” Our news editors obtained a quote from the research from the University of Wisco nsin Madison, “To address this need, we present a multimodal computational imagi ng method where mid-infrared spectral imaging (MIRSI) is employed with second ha rmonic generation (SHG) microscopy to identify fibrillar collagen in biological tissues. To demonstrate a multimodal approach where a morphology-specific contra st mechanism guides an MIRSI method to detect fibrillar collagen based on its ch emical signatures. We trained a supervised machine learning (ML) model using SHG images as ground truth collagen labels to classify fibrillar collagen in biolog ical tissues based on their mid-infrared hyperspectral images. Five human pancre atic tissue samples (sizes are in the order of millimeters) were imaged by both MIRSI and SHG microscopes. In total, 2.8 million MIRSI spectra were used to trai n a random forest (RF) model. The other 68 million spectra were used to validate the collagen images generated by the RF-MIRSI model in terms of collagen segmen tation, orientation, and alignment. Compared with the SHG ground truth, the gene rated RF-MIRSI collagen images achieved a high average boundary -score (0.8 at 4 -pixel thresholds) in the collagen distribution, high correlation (Pearson’s 0.8 2) in the collagen orientation, and similarly high correlation (Pearson’s 0.66) in the collagen alignment.”
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 out of Tokyo, Japan, by NewsRx editors, research stated, “A multi-objective turbine shape optimizatio n method based on deep reinforcement learning (DRL) is proposed.” Financial supporters for this research include Jsps Kakenhi. The news reporters obtained a quote from the research from University of Tokyo: “DRL-based optimization methods are useful for repeating optimization tasks that arise in applications such as the design of turbines and automotive parts. In c onventional research, DRL is applied only to single-optimization tasks. In this study, a multi-objective optimization method using improvements in hypervolume i s proposed.” According to the news editors, the research concluded: “The proposed method is a pplied to a benchmark problem and a turbine optimization problem. It succeeded i n efficiently solving the problems, and Pareto optimal solutions are obtained.”
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 Robotics. According to news reporting originating from Genoa, Italy, by NewsRx c orrespondents, research stated, “Advancements in smart soft materials are enhanc ing the capabilities of robotic manipulators in object interactions and complex tasks. Mechanochromic materials, acting as lightweight sensors, offer easily int erpretable visual feedback for localized stress detection, structural health mon itoring, and energy-efficient robotic skins.”
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 originating from Shenzhen, People’s Republic o f China, by NewsRx correspondents, research stated, “To develop and validate a m achine learning (ML) model based on high-frequency ultrasound (HFUS) images with the aim to identify the functional status of parathyroid glands (PTGs) in secon dary hyper-parathyroidism (SHPT) patients. This retrospective study enrolled 60 SHPT patients (27 female, 33 male; mean age: 51.2 years) with 184 PTGs detected from February 2016 to June 2022.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Guangzh ou Municipal Science and Technology Program.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Moffett Field, California, by NewsRx editors, research stated, “The advent of machine learning techniques has led to a proliferation of landscape classification products. The se approaches can fill gaps in wetland inventories across the United States (U.S .) provided that large reference datasets are available to develop accurate mode ls.”Financial support for this research came from U.S. Geological Survey Climate Res earch and Development Program.
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 ar tificial intelligence. According to news reporting from Quintana Roo, Mexico, by NewsRx journalists, research stated, “In his book The Prospect of a Humanitaria n Artificial Intelligence(2023), Carlos Montemayor proposes, among other things, an account of genuine artificial intelligence (IA) in terms of the notion of at tention.”
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 Machine Learn ing have been published. According to news reporting originating from Pune, Indi a, by NewsRx correspondents, research stated, “Mangrove forests, being high-yiel ding ecosystems, often dominate the intertidal sites along equatorial and subtro pical coasts. Despite the known significance of mangroves to the coastal ecology , especially fisheries, deforestation remains a severe danger due to coercion fo r forest products, ground transformation for aquaculture, and seaside urban grow th.”
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