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 Austin, Te xas, by NewsRx correspondents, research stated, “Drilling high-temperature geoth ermal wells presents technical and economic challenges. Real-time and precise es timation of bottom-hole circulating temperature (BHCT) during geothermal drillin g is crucial for maximizing the working life of drill bits and temperature-limit ed bottom-hole assembly (BHA) components, thereby avoiding unplanned and unneces sary bit/BHA trips.” Funders for this research include University of Texas at Austin, Bureau of Econo mic Geology at the University of Texas at Ausitn.
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 out of Budapest, Hungary, by NewsRx editors, the research stated, “In the last decades the development of co mputer modeling and simulation tools have led to great advances in understanding how materials behave during Heat Treatment operations.” Our news journalists obtained a quote from the research from Obuda University, “ Unfortunately, highfidelity computational simulations can take significant time to run and require large computational capacity. Process optimization requiring many simulations at different conditions can be expensive.”
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 out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “The demand for rehabilitation treatments i n today’s society is surging, but the increasing incidence of humanmachine inter action accidents involving rehabilitation robots highlights the need for a proac tive approach to mitigate human errors. Robot-assisted rehabilitation introduces new modes of human error, necessitating a focus on human reliability analysis ( HRA) to reduce medical errors and associated costs.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting out of Hefei, People’s Republic of China, by NewsRx editors, research stated, “The increasing demand fo r automation has led to a rise in the use of low-speed Autonomous guided vehicle s (AGVs). However, AGVs rely on batteries for their power source, which limits t heir operational time and affects their overall performance.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 reporting from Cambridge, Massachusett s, by NewsRx journalists, research stated, “Biomarkers related to gait are indic ators for many diseases and overall well-being. It is important to monitor gait and its changes over time.” Funders for this research include Sekisui House at MIT program, Institute for Me dical Engineering and Science (IMES), Center for Clinical and Translational Rese arch at MIT, Immersion Lab at MIT.Nano.
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 Montpellier, France, by NewsRx correspondents, research stated, “We employ a repertoire of machine le arning models to investigate the cross-sectional return predictability in crypto currency markets. While all methods generate substantial economic gains-unlike i n other asset classes-the benefits from model complexity are limited.” Financial support for this research came from National Science Centre, Poland. Our news journalists obtained a quote from the research from Montpellier Busines s School, “Return predictability derives mainly from a handful of simple charact eristics, such as market price, past alpha, illiquidity, and momentum. Contrary to the stock market, abnormal returns in cryptocurrencies originate from the lon g leg of the trade and persist over time. Furthermore, despite high portfolio tu rnover, most machine learning strategies remain profitable after trading costs.”
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 out of Shenyang, People’s Republic of China, by NewsRx editors, research stated, “This paper addresses the control problem of co mplex temporal logic tasks for nonlinear systems. A new control barrier function (CBF) called timevarying extent-compatible control barrier function (TV-ECCBF) is proposed, which extends the traditional CBF by considering time-varying exte nt or volumes.” Funders for this research include National Natural Science Foundation of China ( NSFC), Ministry of Education, China - 111 Project, LiaoNing Revitalization Talen ts Program, Fundamental Research Funds for the Central Universities.
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 originating from Changzhou, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Malignant ce rebral edema (MCE) is a serious complication and the main cause of poor prognosi s in patients with large-hemisphere infarction (LHI). Therefore, the rapid and a ccurate identification of potential patients with MCE is essential for timely th erapy.”
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 Rome, Italy, by NewsRx journ alists, research stated, “In the last five years, there has been an accelerated growth in the scientific production about Artificial Intelligence and Healthcare by Scholars of the most diverse disciplines.” The news journalists obtained a quote from the research from Sapienza University of Rome: “Recently, the scientific corpus has been enriched with considerable l iterature reviews ranging from the overview of large collections of scientific d ocuments to the recognition of the state of knowledge on specific aspects (e.g., in the medical field, ophthalmology, cardiology, nephrology, etc.). The methodo logical approaches belong to the scientific fields of bibliometrics and topic mo deling. Following a bibliometric analysis of the literature on the subject, cond ucted on a vast collection of scientific contributions, we also searched for the “latent” themes in the semantic structures of these documents, identified the r elationships between them and recognized the most likely to be investigated in t he future. Results show 24 topics about future trends in literature review conne cting the field of AI and Healthcare.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Tucson , Arizona, by NewsRx journalists, research stated, “The potential of Machine Lea rning Control (MLC) in HVAC systems is hindered by its opaque nature and inferen ce mechanisms, which is challenging for users and modelers to fully comprehend, ultimately leading to a lack of trust in MLC-based decision -making. To address this challenge, this paper investigates and explores Interpretable Machine Learn ing (IML), a branch of Machine Learning (ML) that enhances transparency and unde rstanding of models and their inferences, to improve the credibility of MLC and its industrial application in HVAC systems.”
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