查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting out of Valparaiso, Chile, by NewsR x editors, research stated, "In this article, we propose the integration of a no vel reinforcement learning technique into our generic and unified framework. Thi s framework enables any continuous metaheuristic to operate in binary optimizati on, with the technique in question known as the Multi -Armed Bandit." Financial supporters for this research include Spanish Ministry of Science and I nnovation Project under the European Regional Development Fund (FEDER), National Agency for Research and Development (ANID) /Scholarship Program/DOCTORADO NACIO NAL.
查看更多>>摘要：Current study results on Machine Learn ing have been published. According to news reporting from West Bengal, India, by NewsRx journalists, research stated, "Along with wetland loss, wetland habitat quality degradation is a growing concern that requires immediate attention. The current study aimed to assess the Wetland Habitat Quality State (WHQS) of Rarh r egion, Murshidabad, West Bengal." The news correspondents obtained a quote from the research from the Department o f Geography, "WHQS used a total of seventeen metrics, including water quality, h ydrology, and landscape composition. Machine learning techniques such as ANN, SV M, RF, BAGGING, and REP-TREE were used to model WHQS. The effectiveness of the m odels was evaluated using statistical techniques such as the Receiver operating characteristics (ROC) curve. According to machine learning models, 6% of the area fall under very weak habitat quality zones in 1990 which increased b y 15%, 26%, 41% in 2000, 2010 and 2020, respectively. Very strong portions of wetland area have been decreased from 32.7 4% in 1990 to 20.72% in 2020."
查看更多>>摘要：Research findings on neural computatio n are discussed in a new report. According to news reporting from the University of Kentucky by NewsRx journalists, research stated, "In recent years, using ort hogonal matrices has been shown to be a promising approach to improving recurren t neural networks (RNNs) with training, stability, and convergence, particularly to control gradients." The news editors obtained a quote from the research from University of Kentucky: "While gated recurrent unit (GRU) and long short-term memory (LSTM) architectur es address the vanishing gradient problem by using a variety of gates and memory cells, they are still prone to the exploding gradient problem. In this work, we analyze the gradients in GRU and propose the use of orthogonal matrices to prev ent exploding gradient problems and enhance long-term memory."
查看更多>>摘要：Investigators discuss new findings in Machine Translation. According to news originating from Valencia, Spain, by News Rx correspondents, research stated, "Streaming Machine Translation (MT) is the t ask of translating an unbounded input text stream in real-time. The traditional cascade approach, which combines an Automatic Speech Recognition (ASR) and an MT system, relies on an intermediate segmentation step which splits the transcript ion stream into sentence-like units." Funders for this research include European Union (EU), EU4Health Programme 2021- 2027 as part of Europe's Beating Cancer Plan, Government of Spain-MCIN/AEI, ER DF A way of making Europe-MCIN/AEI, European Union (EU), Spanish Government, C enter for Forestry Research & Experimentation (CIEF).
查看更多>>摘要：2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news originating from Shanghai, People's Repub lic of China, by NewsRx editors, the research stated, "Nocturnal enuresis is a b othersome condition that affects many children and their caregivers. Post-voidin g systems is of little value in training a child into a correct voiding routing while existing pre-voiding systems suffer from several practical limitations, su ch as cumbersome hardware, assuming individual bladder shapes being universal, a nd being sensitive to sensor placement error." Funders for this research include Sti 2030-MAJOR Projects; Science And Technolog y Commission of Shanghai Municipality; Nsfc; Shanghai Municipal Science And Tech nology Major Project; Greater Bay Area Institute of Precision Medicine.
查看更多>>摘要：Current study results on artificial in telligence have been published. According to news reporting out of Harpenden, Un ited Kingdom, by NewsRx editors, research stated, "Accurate detection of drought stress in plants is essential for water use efficiency and agricultural output. Hyperspectral imaging (HSI) provides a non-invasive method in plant phenotyping , allowing the long-term monitoring of plant health due to sensitivity to subtle changes in leaf constituents." Funders for this research include University of Mohammed VI Polytechnic; Biotech nology And Biological Sciences Research Council.
查看更多>>摘要：Investigators discuss new findings in Robotics. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "The 6-D pose estimation is a critical w ork essential to achieve reliable robotic grasping. Currently, the prevalent met hod is reliant on keypoint correspondence." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Xiaomi Foundation.
查看更多>>摘要：Current study results on androids have been published. According to news reporting from Singapore, Singapore, by NewsR x journalists, research stated, "IntroductionIn human-robot interaction (HRI), u nderstanding human intent is crucial for robots to perform tasks that align with user preferences." Our news reporters obtained a quote from the research from Agency for Science: " Traditional methods that aim to modify robot trajectories based on language corr ections often require extensive training to generalize across diverse objects, i nitial trajectories, and scenarios. This work presents ExTraCT, a modular framew ork designed to modify robot trajectories (and behaviour) using natural language input. MethodsUnlike traditional end-to-end learning approaches, ExTraCT separa tes language understanding from trajectory modification, allowing robots to adap t language corrections to new tasks-including those with complex motions like sc ooping-as well as various initial trajectories and object configurations without additional end-to-end training. ExTraCT leverages Large Language Models (LLMs) to semantically match language corrections to predefined trajectory modification functions, allowing the robot to make necessary adjustments to its path. This m odular approach overcomes the limitations of pre-trained datasets and offers ver satility across various applications. ResultsComprehensive user studies conducte d in simulation and with a physical robot arm demonstrated that ExTraCT's trajec tory corrections are more accurate and preferred by users in 80% o f cases compared to the baseline."
查看更多>>摘要：2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Parasitic Diseases and Conditions-Schistosomiasis is the subject of a report. According to news reporting origi nating from Liaoning, People's Republic of China, by NewsRx correspondents, rese arch stated, "Although the Chufeng Qingpi Decoction (CQD) has demonstrated clini cal effectiveness in the treatment of schistosomiasis, the precise active compon ents and the underlying mechanisms of its therapeutic action remain elusive. To achieve a profound comprehension, we incorporate network pharmacology, bioinform atics analysis, molecular docking, and molecular dynamics simulations as investi gative methodologies within our research framework."
查看更多>>摘要：Researchers detail new data in Robotic s. According to news reporting originating in Hangzhou, People's Republic of Chi na, by NewsRx journalists, research stated, "Soft robot incarnates its unique ad vantages in deep-sea exploration, but grapples with high hydrostatic pressure's unpredictable impact on its mechanical performances. In our previous work, a sel f-powered soft robot showed excellent work performance in the Mariana Trench at a depth of 11 000 m, yet experienced notable degradation in deforming capability ." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Laoshan laboratory, Pioneer' R&D Program of Zhejiang, Natural Science Foun dation of Zhejiang Province.
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