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 Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “The elect rical capacitance tomography technology has potential benefits for the process i ndustry by providing visualization of material distributions. One of the main te chnical gaps and impediments that must be overcome is the low-quality tomogram.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on robotics have been published . According to news reporting out of Banja Luka, Bosnia and Herzegovina, by News Rx editors, research stated, “An accurate and reliable estimation of the transfo rmation matrix between an optical sensor and a robot is a key aspect of the hand -eye system calibration process in vision-guided robotic applications. This pape r presents a novel approach to markerless hand-eye calibration that achieves str eamlined, flexible, and highly accurate results, even without error compensation .”
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 originating from Coimbra, Portugal, by NewsRx co rrespondents, research stated, “This article presents the development of a visio n system designed to enhance the autonomous navigation capabilities of robots in complex forest environments.” Funders for this research include E-forest-multi-agent Autonomous Electric Robot ic Forest Management Framework; F4f-forest For Future; Polytechnic Institute of Coimbra.
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 artificial intelligence is now available. According to news originating from Zagreb, Croatia, by NewsRx editors, the research stated, “One of the main problems in the application of m achine learning techniques is the need for large amounts of data necessary to ob tain a well-generalizing model.” Funders for this research include Ceepus Network Ciii-hr-0108; Cekom; Erasmus+ P rojects Wict; Aise; University of Rijeka; University of Zagreb.
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 from Nanning, People’s R epublic of China, by NewsRx correspondents, research stated, “Aiming at the robo tic pruning of tomatoes in greenhouses, a new PRRPR configuration robotic arm co nsisting of two prismatic (P) joints and three revolute ®joints was designed to locate the end effector to handle randomly growing branches with an appropriate posture.” Funders for this research include Beijing Nova Program; The Baafs Innovation Cap acity Building Project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on androids are disc ussed in a new report. According to news originating from Nanjing, People’s Repu blic of China, by NewsRx correspondents, research stated, “The facial expression s of humanoid robots play a crucial role in human-computer information interacti ons. However, there is a lack of quantitative evaluation methods for the anthrop omorphism of robot facial expressions.”
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 artificial intelligence is now available. According to news reporting from San Luis Potosi, Mexico, by NewsRx journalists, research stated, “Recent advancements in cybersecurity threa ts and malware have brought into question the safety of modern software and comp uter systems.” The news reporters obtained a quote from the research from Autonomous University of San Luis Potosi: “As a direct result of this, artificial intelligence-based solutions have been on the rise. The goal of this paper is to demonstrate the ef ficacy of memory-optimized machine learning solutions for the task of static ana lysis of software metadata. The study comprises an evaluation and comparison of the performance metrics of three popular machine learning solutions: artificial neural networks (ANN), support vector machines (SVMs), and gradient boosting mac hines (GBMs).”
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 artificial intelligence. According to news reporting from Bonn, Germany, by News Rx journalists, research stated, “Mesoscale eddies, which are fast-moving rotati ng water bodies in the ocean with horizontal scales ranging from 10 km to 100 km and above, are considered to be the weather of the oceans. They are of interest to marine biologists, oceanographers, and geodesists for their impact on water mass, heat, and nutrient transport.”
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 Ansan, South Korea, by N ewsRx journalists, research stated, “Coffee crema plays a crucial role in assess ing the quality of espresso. In recent years, in response to the rising labor co sts, aging population, remote security/authentication needs, civic awareness, an d the growing preference for non-face-to-face interactions, robot cafes have eme rged.” Funders for this research include Msit (Ministry of Science And Ict), Korea; Iit p; Catholic University of Korea.
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 pa ttern recognition and artificial intelligence. According to news reporting from Chennai, India, by NewsRx journalists, research stated, “In recent years, deep l earning-based networks have been able to achieve state-of-the-art performance in medical image segmentation.” Our news reporters obtained a quote from the research from Department of Computa tional Intelligence: “U-Net, one of the currently available networks, has proven to be effective when applied to the segmentation of medical images. A Convoluti onal Neural Network’s (CNN) performance is heavily dependent on the network’s ar chitecture and associated parameters. There are many layers and parameters that need to be set up in order to manually create a CNN, making it a complex procedu re. Designing a network is made more difficult by using a variety of connections to increase the network’s complexity. Evolutionary computation can be used to s et the parameters of CNN and/or organize the CNN layers as an optimization strat egy. This paper proposes an automatic evolutionary method for detecting an optim al network topology and its parameters for the segmentation of clinical image us ing Grey Wolf Optimization algorithm.”
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