查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A team of researchers has beaten its o wn record for the fastest swimming soft robot,drawing inspiration from manta ra ys to improve their ability to control the robot’s movement in the water.“Two years ago, we demonstrated an aquatic soft robot that was able to reach ave rage speeds of 3.74body lengths per second,” says Jie Yin, corresponding author of a paper on the work and an associateprofessor of mechanical and aerospace e ngineering at North Carolina State University. “We have improvedon that design. Our new soft robot is more energy efficient and reaches a speed of 6.8 body len gths persecond. In addition, the previous model could only swim on the surface of the water. Our new robot iscapable of swimming up and down throughout the wa ter column.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Ann Arbor, Michigan, by N ewsRx journalists, research stated, “Recent years have seen anincrease in machi ne learning (ML)-based blood glucose (BG) forecasting models, with a growing emphasis on potential application to hybrid or closed-loop predictive glucose contr ollers. However, currentapproaches focus on evaluating the accuracy of these mo dels using benchmark data generated under thebehavior policy, which may differ significantly from the data the model may encounter in a control setting.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Today, withthe adv ance of artificial intelligence, companies in the real world are using AI as man agers to makeoperational decisions, who can respond quickly to market shocks an d whose logic can be fine-tuned toprogrammed pessimism/optimism, that is, under estimating/overestimating the market. The introductionof AI managers poses new challenges to supply chain management, and how to manage AI managerswarrants fu rther exploration.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news originating fromOsaka, Japan, by NewsRx correspondents, r esearch stated, “An increasing number of studies have shownthat a robotic guida nce system (RGS) can provide accurate cervical pedicle screw (CPS) placement.Th e accuracy of CPS placement with an RGS has mostly been evaluated according to t he magnitude ofpedicular cortical violation. However, an RGS assists in pedicle screw (PS) placement by directly indicatingthe preplanned trajectory in the op erative field.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news originating from Guilin,People’s Republic of China, b y NewsRx editors, the research stated, “Quantitative structure-activityrelation ships (QSARs) have been used to predict mixture toxicity.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Neurodegenerative Dise ases and Conditions - Parkinson’s Disease isthe subject of a report. According to news reporting originating in Oxford, United Kingdom, by NewsRxjournalists, research stated, “Parkinson’s disease (PD) increases fall risk, leading to injur ies and reducedquality of life. Accurate fall risk assessment is crucial for ef fective care planning.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Coronavirus - COVID-19 is the sub ject of a report. According to news reportingoriginating from Ottawa, Canada, b y NewsRx correspondents, research stated, “Previous efforts to applymachine lea rning-based natural language processing to longitudinally collected social media data haveshown promise in predicting suicide risk. Our primary objective was t o externally validate our previous machinelearning algorithm, the Suicide Artif icial Intelligence Prediction Heuristic (SAIPH), against externalsurvey data in 2 independent cohorts.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Baghdad, Iraq, by NewsRx co rrespondents, research stated, “Recently, three-dimensional models3DM in the pr osthetics field gained popularity, especially in the context of residual limb sh ape creationresulting from collecting medical images in Digital Imaging and Com munications in Medicine DICOMformat from a magnetic resonance imaging MRI after image processing accurately.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Palembang, In donesia, by NewsRx journalists, research stated, “The importanceof effective ca rbon capture and storage (CCS) in addressing climate change issues highlights th e needfor robust CO2 leak monitoring systems. Limitations of conventional metho ds have prompted interest inalternative approaches, such as optical CO2 sensors , which offer non-invasive and continuous monitoring.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting outof Seoul National University b y NewsRx editors, research stated, “As a vital carrier of traditional culture, Intangible Cultural Heritage (ICH) not only preserves historical value but also f osters cultural identity andconfidence. This study utilizes explainable machine learning and coupled coordination models to analyzethe spatial distribution an d formation mechanisms of ICH resources in the Jiangsu-Zhejiang-Shanghai(Jiang- Zhe-Hu).”
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