查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting out of Shenyang , People’s Republic of China, by NewsRx editors, research stated, “The sluggish pace of new antibacterial drug development reflects a vulnerability in the face of the current severe threat posed by bacterial resistance. Microbial natural pr oducts (NPs), as a reservoir of immense chemical potential, have emerged as the most promising avenue for the discovery of next generation antibacterial agent.” Our news journalists obtained a quote from the research from Shenyang Pharmaceut ical University, “Directly accessing the antibacterial activity of potential pro ducts derived from biosynthetic gene clusters (BGCs) would significantly expedit e the process. To tackle this issue, we propose a CSEL-BGC framework that integr ates machine learning (ML) techniques. This framework involves the development o f a novel cascade-stacking ensemble learning (CSEL) model and the establishment of a groundbreaking model evaluation system. Based on this framework, we predict 6,666 BGCs with antibacterial activity from 3,468 complete bacterial genomes an d elucidate a biosynthetic evolutionary landscape to reveal their antibacterial potential.”
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 ro botics. According to news reporting from Dnipro University of Technology by News Rx journalists, research stated, “This study assesses the risk of a collision be tween a human and the ‘Robot Arm’ during remote control, using a 6DoIt Mobile Ro bot Arm with six degrees of freedom.” Our news editors obtained a quote from the research from Dnipro University of Te chnology: “The bow-tie approach, combined with EN ISO 12100 standards, was emplo yed to evaluate the risk of such a dangerous event, considering physical, organi zational, psychosocial, and informational factors. The proposed risk assessment method is based on the bow-tie model, emphasizing the importance of determining the possibility of avoiding hazards as per EN ISO 12100. A three-level protectiv e system - physical,psychological, and informational - is suggested to mitigate the risk, interconnected to enhance safety by reducing the severity of potentia l consequences. The approach has been refined to better determine the severity o f outcomes, focusing on the ability to avoid danger.” According to the news editors, the research concluded: “Additionally, recommenda tions for enhancing robotics safety management were developed, aiming to improve the effectiveness of measures to reduce collision risks during the operation of the ‘Robot Arm’.”
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 from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “The increas ing volume of motorized traffic not only negatively impacts the structural prese rvation and overall planning of individual buildings within the block but also d isrupts the originally harmonious and pleasant spatial environment of the area.” Funders for this research include Major Social Science Project of Tianjin Munici pal Commission of Education.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning - Intel ligent Systems are presented in a new report. According to news reporting origin ating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, rese arch stated, “Driving intention prediction with trajectory data of surrounding v ehicles is critical to advanced driver assistance system for improving the accur acy of decision-making. Previous works mostly focused on trajectory representati on based on supervised manners.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Science and Technology Research Project of Henan Provinc e of China, Program for Science & Technology Development of Henan Province.
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 Oak Ridge, Tennessee, by NewsRx journalists, research stated, “We introduce a machine learned surrogat e model from high-resolution simulation data to capture the subgrid-scale effect s in dry, stratified atmospheric flows. We use deep neural networks (NNs) to mod el the spatially local state differences between a coarse-resolution simulation and a high-resolution simulation.” Funders for this research include Advanced Scientific Computing Research; Office of Science.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Norman, Oklahoma, by NewsRx correspondents, research stated, “Real-time drilling analys is requires knowledge of lithology at the drill bit. However, logging-while-dril ling (LWD) sensors in the bottom hole assembly (BHA) are usually positioned 2-50 m (7-164 ft) above the bit (called the sensor offset), leading to a delay in re al-time drilling analysis.” Financial supporters for this research include Akerbp Asa; University of Oklahom a’s Office of The Vice President For Research And Partnerships And The Office of The Provost.
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 new report. According to news originating from National University by New sRx editors, the research stated, “The advancement of multimodal interfaces aims to provide an intuitive user interface to improve the performance of various ta sks.” Financial supporters for this research include Prociencia Through Universidad Na cional De San Agustin De Arequipa.
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 originating from Valencia, Spain, by Ne wsRx correspondents, research stated, “The study deeply explores the thriving do mains of artificial intelligence (AI) and machine learning (ML) in corporate gov ernance.” Our news correspondents obtained a quote from the research from University of Va lencia: “The study aims to thoroughly examine the rapidly developing fields of a rtificial intelligence (AI) and machine learning (ML) in corporate governance. A fter completing an in-depth analysis of 229 research studies published between 2 008 and 2023 (using software tools such as RStudio, VOSviewer, and Excel),), the study reveals a notable increase in publications since 2022. Corporate social r esponsibility (CSR), environmental, social, and governance (ESG) issues, executi ve remuneration, and sustainability are all considered as important key focal ar eas of focus. Scholars in this field are notably at the forefront from Taiwan, t he United States, and China.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on robotics have been presented. Ac cording to news originating from Virginia Polytechnic Institute and State Univer sity (Virginia Tech) by NewsRx correspondents, research stated, “This paper aims to develop a distributed layered control framework for the navigation, planning , and control of multi-agent quadrupedal robots subject to environments with unc ertain obstacles and various disturbances.” The news journalists obtained a quote from the research from Virginia Polytechni c Institute and State University (Virginia Tech): “At the highest layer of the p roposed layered control, a reference path for all agents is calculated, consider ing artificial potential fields under a priori known obstacles. Secondly, in the middle layer, we employ a distributed nonlinear model predictive control (NMPC) scheme with a one-step delay communication protocol subject to reduced-order an d linear inverted pendulum (LIP) models of agents to ensure the feasibility of t he gaits and collision avoidance, addressing the degree of uncertainty in real-t ime. Finally, low-level nonlinear whole-body controllers (WBCs) impose the full- order locomotion models of agents to track the optimal and reduced-order traject ories. The proposed controller is validated for effectiveness and robustness on up to four A1 quadrupedal robots in simulations and two robots in the experiment s.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on robotics are discussed in a new report. According to news reporting out of Kajang, Malaysia, by NewsRx edito rs, research stated, “This paper presents an Enhanced Particle Swarm Optimisatio n (EPSO) algorithm to improve multi-robot path planning by integrating a new pat h planning scheme with a cubic Bezier curve trajectory smoothing algorithm.” Our news reporters obtained a quote from the research from University of Tunku A bdul Rahman: “Traditional PSO algorithms often result in suboptimal paths with n umerous turns, necessitating frequent stops and higher energy consumption. The p roposed EPSO algorithm addresses these issues by generating smoother paths that reduce the number of turns and enhance the efficiency of multi-robot systems. Th e proposed algorithm was evaluated through simulations in two scenarios, and its performance was compared against the basic PSO algorithm. The results demonstra ted that EPSO consistently produced shorter, smoother paths with fewer direction al changes, albeit with slightly longer execution times.”
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