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    Sichuan University Reports Findings in Machine Learning (Machine Learning-Assist ed Portable Microplasma Optical Emission Spectrometer for Food Safety Monitoring )

    20-21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 Chengdu, Peo ple's Republic of China, by NewsRx correspondents, research stated, "To meet the needs of food safety for simple, rapid, and low-cost analytical methods, a port able device based on a point discharge microplasma optical emission spectrometer (mPD-OES) was combined with machine learning to enable on-site food freshness e valuation and detection of adulteration. The device was integrated with two modu lar injection units (i.e., headspace solid-phase microextraction and headspace p urge) for the examination of various samples." Our news editors obtained a quote from the research from Sichuan University, "Ar omas from meat and coffee were first introduced to the portable device. The arom a molecules were excited to specific atomic and molecular fragments at excited s tates by room temperature and atmospheric pressure microplasma due to their diff erent atoms and molecular structures. Subsequently, different aromatic molecules obtained their own specific molecular and atomic emission spectra. With the hel p of machine learning, the portabledevice was successfully applied to the asses sment of meat freshness with accuracies of 96.0, 98.7, and 94.7% f or beef, pork, and chicken meat, respectively, through optical emission patterns of the aroma at different storage times. Furthermore, the developed procedures can identify beef samples containing different amounts of duck meat with an accu racy of 99.5% and classify two coffee species without errors, demo nstrating the great potential of their application in the discrimination of food adulteration."

    New Robotics Findings from Wuhan Institute of Technology Described (Ihuvs: Infin ite Homography-based Uncalibrated Methodology for Robotic Visual Servoing)

    21-22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 Robotics is now availab le. According to news reporting out of Wuhan, People's Republic of China, by New sRx editors, research stated, "The construction of task functions in robotic man ipulation is of paramount importance for uncalibrated visual servoing. The exist ing methods generally use image information as control variables and estimate th e image Jacobian matrix online, thus possessing issues relating to convergence, and image Jacobian matrix singularities." Funders for this research include National Natural Science Foundation of China ( NSFC), Foundation of State Key Laboratory of Digital Manufacturing Equipment and Technology, Royal Society International Exchanges 2021 Cost Share (RS-NSFC), Ce ntral Guidance on Local Science and Technology Development Foundation of Hubei P rovince.

    Findings in Machine Learning Reported from University of Tennessee (Machine lear ning-powered compact modeling of stochastic electronic devices using mixture den sity networks)

    22-23页
    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 out of the Uni versity of Tennessee by NewsRx editors, research stated, "The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation-how to ac curately account for the inherent stochastic nature of certain devices." Our news reporters obtained a quote from the research from University of Tenness ee: "While conventional deterministic models have served as indispensable tools for circuit designers, they fall short when it comes to capturing the subtle yet critical variability exhibited by many electronic components. In this paper, we present an innovative approach that transcends the limitations of traditional m odeling techniques by harnessing the power of machine learning, specifically Mix ture Density Networks (MDNs), to faithfully represent and simulate the stochasti c behavior of electronic devices. We demonstrate our approach to model heater cr yotrons, where the model is able to capture the stochastic switching dynamics ob served in the experiment. Our model shows 0.82% mean absolute erro r for switching probability."

    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at University of Economics in Bratislava (Integrating Artificial Intelligence i n Language Curricula: Empowering Students for Future Competencies)

    23-23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 new report. According to news originating from the Univers ity of Economics in Bratislava by NewsRx correspondents, research stated, "In to day's professional communication, a constant expansion of vocabulary is necessar y to keep up with developments in technology and science." The news editors obtained a quote from the research from University of Economics in Bratislava: "This paper looks at the current topic of artificial intelligenc e in relation to applications such as ChatGPT and chatbots. The investigation wi ll also explore the potential of artificial intelligence in promoting and suppor ting linguistic skills. Additionally, the discussion will cover the implementati on of these AI tools into foreign language curricula and classroom practices. Sp ecific requirements for teachers and students are addressed under the aspect of future competencies, which represent a particular challenge given the high speed of diverse developments. This study contributes to the ongoing discussion regar ding the role of artificial intelligence in higher education."

    New Findings on Artificial Intelligence from Hohai University Summarized (A Comp rehensive Review of Slope Stability Analysis Based On Artificial Intelligence Me thods)

    24-24页
    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 from Nanjing, People' s Republic of China, by NewsRx journalists, research stated, "For preventing lan dslide disasters caused by the slope collapse, it is crucial to research on the investigation of slope stability. For the very complex influence factors on the slope stability, nowadays, the studies on slope stability by using the artificia l intelligence methods have become the hot topic, and there have been numerous r elated works in this field." The news correspondents obtained a quote from the research from Hohai University , "In this study, according to the essential difference, the studies in this fie ld are divided into two main types (computation of slope stability and evaluatio n of slope stability), from which, the numerous previous studies have been revie wed comprehensively. For the studies on slope stability computation, according t o the used artificial intelligence methods, the studies in this field are review ed from four aspects: studies by quasi-physical intelligence methods, studies by simulated evolutionary methods, studies by swarm intelligence methods, and ones by hybrid intelligence methods. And from the used artificial intelligence metho ds too, the studies on slope stability evaluation are also reviewed from four as pects: studies by artificial neural network methods, studies by vector machine m ethods, ones using hybrid intelligence methods, and ones using other intelligenc e methods. Moreover, the merits and demerits of those studies have been comprehe nsively analyzed, and their state-of-the-art research advancement has also been summarized."

    Data on Machine Learning Published by a Researcher at Shenyang Agricultural Univ ersity (Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index an d ...)

    25-25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 from Shenyang, People's Repu blic of China, by NewsRx journalists, research stated, "Leaf blast is recognized as one of the most devastating diseases affecting rice production in the world, seriously threatening rice yield." Financial supporters for this research include Liaoning Province Applied Basic R esearch Program Project; National Natural Science Foundation of China Youth Prog ram. Our news journalists obtained a quote from the research from Shenyang Agricultur al University: "Therefore, early detection of leaf blast is extremely important to limit the spread and propagation of the disease. In this study, a leaf blast- specific spectral vegetation index RBVI = 9.78R816-R724-2.08(r736/R724) was de signed to qualitatively detect the level of leaf blast disease in the canopy of a field and to improve the accuracy of early detection of leaf blast by remote s ensing by unmanned aerial vehicle. Stacking integrated learning, AdaBoost, and S VM were used to compare and analyze the performance of the RBVI and traditional vegetation index for early detection of leaf blast. The results showed that the stacking model constructed based on the RBVI spectral index had the highest dete ction accuracy (OA: 95.9%, Kappa: 93.8%). Compared to stacking, the detection accuracy of the SVM and AdaBoost models constructed base d on the RBVI is slightly degraded. Compared with conventional SVIs, the RBVI ha d higher accuracy in its ability to qualitatively detect leaf blast in the field ."

    Reports Outline Robotics Study Results from Nanyang Technological University (Fo rmation Tracking of Mobile Robots Under Obstacles Using Only an Active Rgb-d Cam era)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news report-ing originating in Singapore, Sin gapore, by NewsRx journalists, research stated, "This article attempts to achiev e leader-follower formation tracking for mobile robots under obstacles with only one RGB-D camera on the follower. In contrast, most existing research employs a t least two sensors, including a camera and a LiDAR." Funders for this research include National Research Foundation, Singapore, Minis try of Education, Singapore. The news reporters obtained a quote from the research from Nanyang Technological University, "However, the limited field of view of RGB-D cameras introduces thr ee significant challenges: 1) intermittent observation of the leader, 2) partial detection of obstacles, and 3) conflicting observations of the leader and obsta cles. To overcome these difficulties, we first propose a controller that enables the follower to achieve continuous observation and formation tracking of the le ader without obstacles and depth images. To address the partial detection of obs tacles, we design a rotating device that allows the camera to actively extend it s observation range and resolve conflicts with leader detection. Based on camera feedback and the proposed controller, a multiobjective controller is presented that enables the follower to achieve formation tracking and obstacle avoidance s imultaneously, without requiring communication or leader velocity." According to the news reporters, the research concluded: "Simulations and experi ments are conducted to demonstrate the feasibility of our methods."

    Findings from Shanghai Jiao Tong University Reveals New Findings on Robotics (Mo deling and Design of Lattice-reinforced Pneumatic Soft Robots)

    26-26页
    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 Shanghai, People's Republic of China, by NewsRx journalists, research stated, "Lattice metamaterials exhibit di verse functions and complex spatial deformations by rational structural design. Here, lattice metamaterials are exploited to design pneumatic soft robots with p rogrammable bending, twisting, and elongation deformations." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Shanghai Jiao To ng University, "The system comprises an elastomeric tube reinforced by lattice m etamaterials. We develop an analytical framework to model the twisting, bending, and elongation finite deformation taking into account the geometric orthotropy and nonlinear elasticity. We experimentally validate our modeling approach and i nvestigate the effects of geometric patterns and input loading on the soft actua tors' deformation. Theoretical guided design of lateral-climbing soft robots and exploration soft manipulators are demonstrated. The soft actuator could exhibit a combined twisting-bending-elongation deformation by lattice superimposition." According to the news reporters, the research concluded: "The proposed structura l design method paves the way for designing soft robots with complex and dextero us deformations." This research has been peer-reviewed.

    Reports on Robotics from Nanyang Technological University Provide New Insights ( Shared Autonomy of a Robotic Manipulator for Grasping Under Human Intent Uncerta inty Using Pomdps)

    27-28页
    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 originating in Singapore, Singapore, by NewsRx journalists, research stated, "In shared autonomy (SA), accurate user intent prediction is crucial for good robot assistance and avoiding user-robot conflicts. Prior works have relied on passive observation of joystick inputs to predict user intent, which works when the goals are clearly separated or when a common policy exists for multiple goals." Financial support for this research came from Agency for Science Technology & Research (A*STAR).The news reporters obtained a quote from the research from Nanyang Technological University, "However, they may not work well when grasping objects to perform d aily activities, as there are multiple ways to grasp the same object. We demonst rate the need for active information-gathering in such cases and show how this c an be done in a principled manner by formulating SA as a discrete action partial ly observable Markov decision process (POMDP), reasoning over high-level actions . One of our insights is that apart from having explicit information-gathering a ctions and goal-oriented actions, it is important to have actions that move towa rd a distribution of goals and provide no assistance in the POMDP action space."

    Albert Einstein Israelite Hospital Reports Findings in Colectomy (Surgical and m edical outcomes in robotic compared to laparoscopic colectomy global prospective cohort from the American college of surgeons national surgical quality improvem ent ...)

    28-29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 Surgery-Colectomy is the subject of a report. According to news reporting originating in Sao Paulo, Brazil, by NewsRx journalists, research stated, "Evidence regarding the outcomes benefits of robotic approach, when compared to a laparoscopic approach, in cole ctomy remain limited. This study aimed to analyze the value of robotic approach compared to laparoscopic approach in minimally invasive colectomy." The news reporters obtained a quote from the research from Albert Einstein Israe lite Hospital, "Cohort study of the National Surgical Quality Improvement Progra m (NSQIP). This study included data from the NSQIP from 1/2016 to 12/2021. Adult patients undergoing minimally invasive (laparoscopic or robotic) colorectal sur gery. Robotic versus laparoscopic colectomy. Risk ratios for the incidence of me dical and surgical morbidity and overall mortality. Compared to laparoscopic, ro botic colectomy was associated with a significant decrease in postoperative morb idity [RR 0.84 (95%CI 0.72-0.96), P<0.001], a significant reduction in postoperative mortality [RR 0.83 (95%CI 0.79-0.90), P 0.010)], and in pos t operative ileus [RR: 0.80 (95%CI 0.75-0.84), P <0.001]. Yet, robotic approach was asso ciated with a significant increase in total operative time despite a significant decrease in total length of stay. No benefit was observed regarding anastomotic leak. Observational nature of the study cannot exclude residual bias."