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 originating from Phagwara, India, by NewsRx correspondents, research stated, "Tongue-drive system (TDS) is an advance d assistive technology (AT) that enables people with severe disabilities to inde pendently control the electronic devices and machines using their tongue. Throug h the use of a small magnetic tracer, it can be translated into user-defined com mands." Financial support for this research came from Department of VLSI design, Lovely Professional University, Punjab India. Our news journalists obtained a quote from the research from Lovely Professional University, "Real time system accuracy is the major parameter of effectiveness of such AT's. So, a projected model needs a hardware based real time implementat ions or optimum model development with reconfigurable architectures before desig n of application specific ICs. This paper reviews various tongue drive systems a nd their features and approaches to the brain, tongue, and computer interface. I n this paper, the data rate of serial peripheral interfaces compared and discuss ed the attenuation techniques and their signal-to-noise ratio for processing the data. The projected machine learning classifiers mainly decision tree, k-Neares t Neighbor, logistic regression, Naive Bayes, random forest, and support vector machine are compared in terms of accuracy, F1 score, and power consumption. The performance comparison of TDS and implementation methods on field programmable l ogic arrays are discussed. The design and simulation work done so far on MATLAB and Xilinx environment are mainly analyzed to identify future scope of work."
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 from Madrid, Spain, by NewsRx journal ists, research stated, "To compare the outcomes of patients undergoing robotic Y V plasty for bladder neck contracture (BNC) vs. vesico-urethral anastomotic stri cture (VUAS). A retrospective study included male patients who underwent robotic YV plasty for BNC after endoscopic treatment of BPH or VUAS between August 2019 and March 2023 at a single academic center." The news correspondents obtained a quote from the research from Princess Royal U niversity Hospital, "The primary assessed was the patency rate at 1 month post-Y V plasty and during the last follow-up visit. A total of 21 patients were analyz ed, comprising 6 in the VUAS group and 15 in the BNC group. Patients with VUAS h ad significantly longer operative times (277.5 vs. 146.7 min; p = 0.008) and hos pital stay (3.2 vs. 1.7 days; p = 0.03). Postoperative complications were more c ommon in the VUAS group (66.7% vs. 26.7%; p = 0.14). All patients resumed spontaneous voiding postoperatively. Five patients (23.8% ) who developed de novo stress urinary incontinence had already an AUS (n = 1) o r required concomitant AUS implantation (n = 3), all of whom were in the VUAS gr oup (83.3% vs. 0%; p<0.0001). T he proportion of patients improved was similar in both groups (PGII = 1 or 2: 83 .3% vs. 80%; p = 0.31). Stricture recurrence occurred in 9.5% of patients in the whole cohort, with no significant diff erence between the groups (p = 0.50). Long-term reoperation was required in thre e VUAS patients, showing a statistically significant difference between the grou ps (p = 0.05). Robotic YV plasty is feasible for both VUAS and BNC."
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 Robotics have been published. According to news reporting from Sonepat, India, by NewsRx jour nalists, research stated, "Due to recent technological advancements, social robo ts are becoming increasingly prevalent in the consumer space. ChatGPT, a virtual social robot, has captured significant attention from the mass media and academ ic practitioners alike since its release in November 2022." The news correspondents obtained a quote from the research from O.P. Jindal Glob al University, "This attention arises from its remarkable capabilities, as well as potential challenges it poses to society and various business sectors. In lig ht of these developments, we developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology and a consumer value typology centred around consumer experiences to examine the influence of experiential factors on the intention to use ChatGPT and subsequently collaborating with it for co-crea ting content among business managers. To test this model, we conducted a survey of 195 business managers in the UK and employed partial PLSstructural equation m odelling for analysis. Our findings indicate that the efficiency, excellence, me aningfulness of recommendations, and conversational ability of ChatGPT will infl uence the behavioural intention to use it during the priori acceptance stage."
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 originating from Notre Dame, In diana, by NewsRx correspondents, research stated, "Despite a five order of magni tude range in size, the brains of mammals share many anatomical and functional c haracteristics that translate into cortical network commonalities. Here we devel op a machine learning framework to quantify the degree of predictability of the weighted interareal cortical matrix." Funders for this research include Directorate for Computer and Information Scien ce and Engineering, Agence Nationale de la Recherche (ANR), Agence Nationale de la Recherche (ANR), Agence Nationale de la Recherche (ANR), Ministry of Educatio n and Research - Romania, Centre National de la Recherche Scientifique (CNRS), E RA-NET, Ministerul Cercetarii, Inovariiscedil;i Digitalizarii, Universitatea Bab escedil;-Bolyai.
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 Robotic s. According to news reporting originating from Nanjing, People's Republic of Ch ina, by NewsRx correspondents, research stated, "Patients suffering from limb mo vement disorders require more complete rehabilitation treatment, and there is a huge demand for rehabilitation exoskeleton robots. Flexible and reliable motion control of exoskeleton robots is very important for patient rehabilitation.Metho ds This paper proposes a novel exoskeleton robotic system for lower limb rehabil itation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Jiangsu Provincial Key Research and Development Program, Nat ural Science Research Start-up Foundation of Recruiting Talents of Nanjing Unive rsity of Posts and Telecommunications.
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 Zhejiang, People's Republ ic of China, by NewsRx correspondents, research stated, "The maintenance of unde rwater infrastructures and equipment remains dominated by manual operation, resu lting in high costs and safety concerns. Recent advances in adsorptive-operating robots and intelligent controls offer new opportunities for underwater engineer ing operations." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Research and Development Program of Zhejiang Province, N ingbo Science and Technology Innovation 2025 Major Special Project. Our news editors obtained a quote from the research from Zhejiang University, "H owever, the universality and automation of robots are insufficient to support la rge-scale commercial applications. This review focuses on the fundamental design aspects in terms of adsorption, locomotion, visual observation, control, and au tonomy. The approaches employed over the past two decades that enable robots to adsorb stably, locomote smoothly, make clear observations, and operate efficient ly are described and compared. Robots with different applications are systematic ally introduced to illustrate the popular topics and value of research." According to the news editors, the research concluded: "This review aggregates t hese studies with the aim of revealing the state-of-the-art in underwater adsorp tive-operating robots, and discussing future trends in this field." This research has been peer-reviewed.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting originating from Patras, Greece, by NewsRx correspondents, research stated, "Road maintenance operators often work in dange rous environments and are in need of a support system to enhance their safety an d efficiency. Augmented reality (AR) has proven to be useful in providing suppor t to operators in various industrial sectors." Funders for this research include European Commission Joint Research Centre, Eur opean Commission Research project "OMICRON. Our news editors obtained a quote from the research from the University of Patra s, "However, the vast majority of the existing applications focus mainly on stat ic, controlled environments, such as industrial shopfloors, although the dynamic flow of information that AR can provide could be very valuable to unstructured, dynamic environments. This paper presents a novel AR-based methodology for huma n-robot collaboration, real-time instructions, and support for road maintenance operations, aiming to enhance operator safety and efficiency. A robot operating system-based architecture is exploited for the communication of the modules. The methodology is tested in a laboratory environment, and the results validate the hypothesized enhancement of road operators."
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 Machine Learning. According to news reporting from Prague, Czech Republic, by Ne wsRx journalists, research stated, "As machine learning becomes more widely used , the need to study its implications in security and privacy becomes more urgent . Although the body of work in privacy has been steadily growing over the past f ew years, research on the privacy aspects of machine learning has received less focus than the security aspects." Financial supporters for this research include Avast Software, OP RDE. The news correspondents obtained a quote from the research from Czech Technical University, "Our contribution in this research is an analysis of more than 45 pa pers related to privacy attacks against machine learning that have been publishe d during the past seven years. We propose an attack taxonomy, together with a th reat model that allows the categorization of different attacks based on the adve rsarial knowledge, and the assets under attack. An initial exploration of the ca uses of privacy leaks is presented, as well as a detailed analysis of the differ ent attacks."
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 Jilin City, People's Republ ic of China, by NewsRx correspondents, research stated, "Lesion prediction, a ve ry important aspect of cancer disease prediction, is an important marker for pat ients before they become cancerous." Financial supporters for this research include National Natural Science Foundati on of China; Science And Technology Development Plan of Jilin Province, China.
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 originating in West Lafayette , Indiana, by NewsRx journalists, research stated, "Currently, in the organizati onal research community, artificial intelligence (AI), machine learning (ML), an d big data techniques are being vigorously explored as a set of modern-day appro aches contributing to a multidisciplinary science of people at work. This paper discusses more specifically how these sophisticated technologies, methods, and d ata might together advance the science of people at work through various routes, including improving theory and knowledge, construct measurements, and predictin g real-world outcomes."
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