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 Cagliari, Italy, by Ne wsRx correspondents, research stated, “Recent advancements in communication tech nologies have significantly enhanced localization techniques, improving both acc uracy and operating modes.” The news journalists obtained a quote from the research from University of Cagli ari: “Initially, localization methods relied on global navigation satellite syst ems, offering high accuracy but proving inefficient in Non-Line-of-Sight scenari os. Furthermore, the absence of a passive mode, where the user can be localized without explicitly requesting it, renders these methods unsuitable for applicati ons like passive tracking systems. Fingerprinting methods, a pattern matching te chniques based on signal power estimation from target devices and distance estim ation from reference points, can be seen as a valid and promising alternative. H owever, these methods face limitations due to extensive measurement campaigns ne eded to establish accurate sampling systems within specific areas and the substa ntial amount of data required for machine learning algorithms to achieve optimal performance. This study introduces a novel fingerprinting method capable of pas sive operation, involving all smartphones within a designated area, suitable for both indoor and outdoor scenarios. The proposed solution leverages Generative A dversarial Networks (GANs) to augment fingerprinting datasets, enhancing machine learning models’ capabilities.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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 are pre sented in a new report. According to news originating from Kanpur, India, by New sRx correspondents, research stated, “Driver gaze plays a key role in different gaze-based applications, such as driver attentiveness detection, visual distract ion detection, gaze behavior understanding, and building driver assistance syste m. The main objective of this study is to perform a comprehensive summary of dri ver gaze fundamentals, methods to estimate driver gaze using machine learning (M L) based technique, and its applications in real world driving scenarios.” Financial support for this research came from Initiation Grant scheme of Indian Institute of Technology Kanpur, India.
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