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    Researchers from Shandong University of Science and Technology Detail Research i n Robotics (Research on Road Pattern Recognition of a Vision-Guided Robot Based on Improved-YOLOv8)

    126-127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 reporting out of Jinan, People’s Republ ic of China, by NewsRx editors, research stated, “In order to promote the accura te recognition and application of visual navigation robots to the environment, t his paper carried out research on the road pattern recognition of a vision-guide d robot based on improved YOLOv8 on the basis of road pattern calibration and ex perimental sampling.”

    University of Murcia Reports Findings in Artificial Intelligence (Relational Dim ension Versus Artificial Intelligence)

    127-128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 report. According to news reporting from Madrid, Spain, by NewsRx journalists, research stated, “Thirty years ago, we proposed the similar ity between the functioning of artificial intelligence and the human psyche, sug gesting multiple parallels between the Freudian model proposed in the ‘Project f or Psychology for Neurologists’ and the connectionist theories applied in the ge neration of parallel distributed processing systems (PDP), also known as connect ionist models. These models have been and continue to be the foundation of gener al artificial intelligences like ChatGPT, evolving and gaining prominence in eve ryday life.”

    University of Bologna Researchers Further Understanding of Robotics (Sensory-Mot or Loop Adaptation in Boolean Network Robots)

    128-129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 robotics is the subjec t of a new report. According to news originating from Cesena, Italy, by NewsRx c orrespondents, research stated, “Recent technological advances have made it poss ible to produce tiny robots equipped with simple sensors and effectors. Micro-ro bots are particularly suitable for scenarios such as exploration of hostile envi ronments, and emergency intervention, e.g., in areas subject to earthquakes or f ires.”

    New Robotics Data Have Been Reported by Investigators at National University of Defense Technology (An Improved Artificial Electric Field Algorithm for Robot Pa th Planning)

    129-130页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news reporting from Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Effectively improving the optimization performanc e of artificial electric field algorithm (AEFA) and broadening its application d omain can aid in providing robot path planning in 3-D complex scenes. This artic le effectively proposes an improved AEFA (I-AEFA) and creatively applies it to r obot path planning.”

    University of Western Australia Reports Findings in Artificial Intelligence (Hea lth consumers' ethical concerns towards artificial intelligence in Australian em ergency departments)

    130-131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 report. According to news reporting originating in Perth, Australia, by NewsRx journalists, research stated, “To investigate health consum ers’ ethical concerns towards the use of artificial intelligence (AI) in EDs. Qu alitative semi-structured interviews with health consumers, recruited via health consumer networks and community groups, interviews conducted between January an d August 2022.”

    New Findings in Machine Learning Described from Lawrence Livermore National Labo ratory (Accelerating the design of lattice structures using machine learning)

    131-131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 artificial intelligence is now available. According to news reporting originating from the Lawrence Liv ermore National Laboratory by NewsRx correspondents, research stated, “Lattices remain an attractive class of structures due to their design versatility; howeve r, rapidly designing lattice structures with tailored or optimal mechanical prop erties remains a significant challenge.”

    National University of Singapore Reports Findings in Artificial Intelligence (Ha rnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis )

    132-133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 report. According to news reporting originating in Singapo re, Singapore, by NewsRx journalists, research stated, “In recent years, the use of artificial intelligence (AI) models to generate individualised risk assessme nts and predict patient outcomes post-Transcatheter Aortic Valve Implantation (T AVI) has been a topic of increasing relevance in literature. This study aims to evaluate the predictive accuracy of AI algorithms in forecasting post-TAVI morta lity as compared to traditional risk scores.”

    Suzhou University of Science and Technology Researchers Provide Details of New S tudies and Findings in the Area of Robotics (Robotic arm grasping study combinin g prior knowledge and deep reinforcement learning)

    133-133页
    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 originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “In the process of applying deep rein forcement learning (DRL) to realize autonomous behavioral decision-making of rob otic arms, the high-dimensional continuous state-action space is prone to low da ta sampling efficiency and low quality of empirical samples, which ultimately le ads to slow convergence of the reward function and long learning time.”

    Findings from Benha University Provide New Insights into Artificial Intelligence (A Complete Artificial Intelligence Pipeline for Radio Frequency Energy Predict ion In Cellular Bands for Energy Harvesting Systems)

    134-134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 originating in Banha, Egypt, by NewsRx journalists, research stated, “Radio Frequency (RF) energy harvesting has been used to power wireless and low-powered devices. However, RF energy har vesting has limitations in terms of the amount of power that can be collected ba sed on signal availability.” The news reporters obtained a quote from the research from Benha University, “He nce, energy prediction is essential to improve energy harvesting circuits ‘ perf ormance. Previous research has mainly focused on improving power harvesting poli cies or theoretically estimating the harvested energy. Very few works have consi dered the prediction of the RF signal as time series data using real RF measurem ents. Moreover, challenges such as the power consumed by the circuit ‘ s harvest ing decisions and the impact of outliers on the model performance haven ‘ t been addressed yet. This paper presents a complete pipeline for developing the best predictive model for RF energy in cellular frequency bands. Real -time measureme nts are taken in different frequency bands using software-defined radio technolo gy. We use four artificial intelligence techniques to model the RF energy signal . Additionally, we propose an optimized model with an enhanced loss function, wh ich makes the model more resilient to anomalies, saving computational power and time consumed in cleaning the data. The four algorithms are investigated, and th eir prediction accuracies are compared. The average power of a period of 5 min i s accurately forecasted. Numerical results in the 1960 MHz band show that long s hort -term memory has the best performance, followed by the DeepAR algorithm wit h prediction accuracies of 95.76% and 95.02%, respect ively.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Duk e University (Pricing Cryptocurrency Options With Machine Learning Regression fo r Handling Market Volatility)

    135-135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 Machine Learning have been presented. According to news reporting out of Durham, North Carolina, by N ewsRx editors, research stated, “Pricing cryptocurrency options, crucial for ris k management and market stabilization, presents unique challenges due to specifi c underlying dynamics like the inversion of the leverage effect. Classical optio n pricing models like Black-Scholes and Heston struggle to address these dynamic s due to their set of assumptions.”