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 - Ro botics and Automation have been published. According to news reporting out of Pi sa, Italy, by NewsRx editors, research stated, “Choosing a good grasp is fundame ntal for accomplishing robotic grasping and manipulation tasks. Typically, the g rasp synthesis is addressed separately from the planning phase, which can lead t o failures during the execution of the task.” Our news journalists obtained a quote from the research from Scuola Superiore Sa nt’Anna, “In addition, most of the current grasping approaches privilege stabili ty metrics, providing unsuitable grasps for executing subsequent tasks. The prop osed work presents a framework for high-level reasoning to select the best-suite d grasp depending on the task. The best grasp is chosen among a set of grasp can didates by solving an optimization problem, considering the environmental constr aints, and guaranteeing the end-state comfort and the confidence effects for the task, similar to human behavior. The framework leverages Generalized Bender Dec omposition to decouple the main non-linear optimization problem into sub-problem s, thus presenting a modular structure. The method is validated with an experime ntal campaign using three different state-of-the-art grasping algorithms and thr ee low-level motion planners in three different types of tasks: pick-and-place i n a constrained environment, handover/tool-use, and object re-orientation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Lung Diseases and Cond itions - Idiopathic Pulmonary Fibrosis is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, re search stated, “Idiopathic pulmonary fibrosis (IPF) is a chronic disease of unkn own etiology that lacks a specific treatment. In IPF, macrophages play a key reg ulatory role as a major component of the lung immune system, especially during i nflammation and fibrosis.” Funders for this research include The Youth Independent Innovation Science Found ation, National Natural Science Foundation of China.
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 Ghent, Belgium, by NewsRx journa lists, research stated, “This letter proposes a novel framework for insertion-ty pe tasks with soft bodies, such as cleaning a bottle with a soft brush. First, a multimodal model based on vision and force perception is trained.” The news correspondents obtained a quote from the research from the University o f Ghent, “Domain randomization is used for the soft body’s properties to overcom e the simulation-to- reality gap. Second, we propose a dynamic safety lock metho d based on force perception, which is embedded in the training model to make sur e that the tool explores and traverses the hole’s path in a compliant way. This result in a higher success rate without damaging the tools/holes. Finally, we pe rform experiments in simulation and the real world, and the success rate of our proposed method reaches 85.14% in simulation and 83.45 % in the real world.”
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 Shaanxi, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Understanding ho w reaction heterogeneity impacts cathode materials during Li-ion battery (LIB) e lectrochemical cycling is pivotal for unraveling their electrochemical performan ce. Yet, experimentally verifying these reactions has proven to be a challenge.” Financial support for this research came from National Natural Science Foundatio n of China.
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 the University of Naples Federico II by NewsRx correspondents, research stated, “The contribution provides an overview of the European path towards artificial intel ligence as a 21st century innovation.” The news journalists obtained a quote from the research from University of Naple s Federico II: “European institutions have played a significant role in the deve lopment and adoption of AI, addressing challenges and opportunities along the wa y. Over the years, the European Union (EU) has promoted initiatives and strategi es to foster research, development and responsible use of AI as part of policies aimed at innovation and competitiveness. The European path towards AI is charac terised by a commitment to foster collaboration between public and private secto rs, to ensure ethical and regulatory standards, and to create a favourable ecosy stem for the growth and deployment of AI across Europe.”
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 the Uni versity of Sydney by NewsRx correspondents, research stated, “The Internet of Th ings (IoT) integrates more than billions of intelligent devices over the globe w ith the capability of communicating with other connected devices with little to no human intervention. IoT enables data aggregation and analysis on a large scal e to improve life quality in many domains.” Financial supporters for this research include University of Western Sydney.
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 Infectious Di seases and Conditions - Monkeypox have been published. According to news reporti ng out of Dalian, People’s Republic of China, by NewsRx editors, research stated , “PurposeHuman monkeypox (MPX) is a viral infection that transmits between indi viduals via direct contact with animals, bodily fluids, respiratory droplets, an d contaminated objects like bedding. Traditional manual screening for the MPX in fection is a time-consuming process prone to human error.” Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting from Shenyang, People’s Republic of China, by NewsRx journalists, research stated, “A negative pressure wall-climbin g robot is a special robot for climbing vertical walls, which is widely used in construction, petrochemicals, nuclear energy, shipbuilding, and other industries . The mobility and adhesion of the wheel-track wall-climbing robot with steering -straight mode are significantly decreased on the cylindrical wall, especially d uring steering.” 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 originating from Accra, Ghana, by NewsR x correspondents, research stated, “There is a dearth of knowledge on reliable a dherence prediction measures in behavior change support systems (BCSSs). Existin g reviews have predominately focused on self-reporting measures of adherence.” Our news journalists obtained a quote from the research from the University of G hana, “These measures are susceptible to overestimation or underestimation of ad herence behavior. This systematic review seeks to identify and summarize trends in the use of machine learning approaches to predict adherence to BCSSs. Systema tic literature searches were conducted in the Scopus and PubMed electronic datab ases between January 2011 and August 2022. The initial search retrieved 2182 jou rnal papers, but only 11 of these papers were eligible for this review. A total of 4 categories of adherence problems in BCSSs were identified: adherence to dig ital cognitive and behavioral interventions, medication adherence, physical acti vity adherence, and diet adherence. The use of machine learning techniques for r eal-time adherence prediction in BCSSs is gaining research attention. A total of 13 unique supervised learning techniques were identified and the majority of th em were traditional machine learning techniques (eg, support vector machine). Lo ng short-term memory, multilayer perception, and ensemble learning are currently the only advanced learning techniques. Despite the heterogeneity in the feature selection approaches, most prediction models achieved good classification accur acies. This indicates that the features or predictors used were a good represent ation of the adherence problem. Using machine learning algorithms to predict the adherence behavior of a BCSS user can facilitate the reinforcement of adherence behavior.”
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 out of Kingston, Canad a, by NewsRx editors, research stated, “Generative artificial intelligence (AI) has proven to be a powerful tool with increasing applications in clinical care a nd medical education. CHATGPT has performed adequately on many specialty certifi cation and knowledge assessment exams.” Our news journalists obtained a quote from the research from Queen’s University, “The objective of this study was to assess the performance of CHATGPT 4 on a mu ltiple-choice exam meant to simulate the Canadian urology board exam. Graduating urology residents representing all Canadian training programs gather yearly for a mock exam that simulates their upcoming board-certifying exam. The exam consi sts of written multiple-choice questions (MCQs) and an oral objective structured clinical examination (OSCE). The 2022 exam was taken by 29 graduating residents and was administered to CHATGPT 4. CHATGPT 4 scored 46% on the MC Q exam, whereas the mean and median scores of graduating urology residents were 62.6%, and 62.7%, respectively. This would place CHATG PT’s score 1.8 standard deviations from the median. The percentile rank of CHATG PT would be in the sixth percentile. CHATGPT scores on different topics of the e xam were as follows: oncology 35%, andrology/benign prostatic hyper plasia 62 %, physiology/anatomy 67%, incontinence/femal e urology 23%, infections 71%, urolithiasis 57% , and trauma/reconstruction 17%, with ChatGPT 4’s oncology performa nce being significantly below that of postgraduate year 5 residents. CHATGPT 4 u nderperforms on an MCQ exam meant to simulate the Canadian board exam.”
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