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 artific ial intelligence. According to news originating from the University of New South Wales by NewsRx correspondents, research stated, “Since their release in late 2 022, generative AI (genAI) tools have led to widespread use, including among tea chers.” Funders for this research include Australian Research Council.
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 originating from Shenyang, People ’s Republic of China, by NewsRx correspondents, research stated, “The letter int roduces a novel Visual Place Recognition (VPR) method called Lightweight Pooling -centric Saliency-aware VPR (LPS-VPR), a high-performance VPR method capable of exploiting saliency information without computational burden. The key contributi on of the method is a pooling-based saliency encoder (PSE) that efficiently extr acts and integrates local context saliency cues into the image embedding, avoidi ng using computationally intensive operations such as attention for saliency cue s extraction.” Financial support for this research came from National Key Research and Developm ent Program of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions - Temporal Lobe Epilepsy is the subject of a report. Ac cording to news reporting from Xi’an, People’s Republic of China, by NewsRx jour nalists, research stated, “Temporal lobe epilepsy (TLE) stands as the predominan t adult focal epilepsy syndrome, characterized by dysfunctional intrinsic brain dynamics. However, the precise mechanisms underlying seizures in these patients remain elusive.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Kokushikan Unive rsity by NewsRx journalists, research stated, “This study entails an examination and comparison of features observed in an accelerometer signal obtained from fl oating-scrap detection during stamping with those obtained using the ‘center-of- gravity’ method, which is conventionally used for anomaly detection via machine learning. The samples are detected using the Mahalanobis-Taguchi system.” The news journalists obtained a quote from the research from Kokushikan Universi ty: “If using the center-of-gravity method, the unit space that contains normal samples without scraps cannot be separated from the error samples. Based on an e stimated threshold for detecting all the error samples, the falsepositive rate of the abovementioned method is 0.9 %. In this study, a suitable th reshold that allows the system to detect 100 % of the error sample s (and no normal samples) is estimated using six features. Detection using the s ix suggested features is more effective than that using only three features asso ciated with the downward journey of the press slide. Features selected from two different events (i.e., the downward and upward journeys of the press slide) may result in more effective detections than features selected from only one event (i.e., the downward journey). To confirm the effect of tool wear, six experiment s based on normal samples are conducted after all error samples are created.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Maharashtra, India, by NewsRx cor respondents, research stated, “The Excess Noise Factor (ENF) of a Photomultiplie r Tube (PMT) is basically the additional noise introduced because of the statist ical nature of electron multiplication inside PMT. In the field of Very High Ene rgy (VHE) gamma -ray astronomy, PMT is used as a Cherenkov photon detector.” Our news journalists obtained a quote from the research from Bhabha Atomic Resea rch Centre, “Hence, the noise of PMT plays an important role in estimating the e nergy of VHE gamma rays. Conventionally, estimation of ENF of PMT requires a ver y low -intensity, tunable light source experiment in a lab where no external lig ht background interferes.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting originating in Yantai, People’s Republ ic of China, by NewsRx journalists, research stated, “This study aims to develop and validate a computed tomography (CT)-based radiomics nomogram for preoperati vely predicting central lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC) and explore the underlying biological basis by usi ng RNA sequencing data. This study trained 452 PTMC patients across two hospital s from January 2012 to December 2020.” Funders for this research include Taishan Scholar Project, Key R&D Project of Shandong Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Beijing, People’s Republic of China, by NewsRx correspondents, research state d, “Whispering gallery mode (WGM) microcavities are excellent platforms for ultr a-sensitive sensing due to high-quality factor and small mode volume.” The news editors obtained a quote from the research from Beijing University of P osts and Telecommunications: “However, the conventional sensing method by tracki ng single-mode changes is difficult to fully utilize the sensing information, wh ich limits the measurement precision and dynamical range. Here, we demonstrate a high-precision temperature sensor based on the multimode sensing method in a pa ckaged microbubble resonator (PMBR). Remarkably, a low-cost broadband spectrum s ource is used as probe light to provide more sensing modes for high-precision me asurement. Empowered by a machine learning method, the multimode spectral inform ation are fully utilized, and the true temperature is precisely readout with mea n-squared error (MSE) of 0.0138. The detection limit is lower three times than s ingle-mode sensing method, capable of reaching 0.117 °C. In addition, the correl ation coefficient (R2) between predictions and truth is as high as 0.9996 within the measurement range of 25-45 °C.”
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 Robotics - Ro botics and Automation have been published. According to news originating from Co llege Station, Texas, by NewsRx correspondents, research stated, “Predicting hum an motion plays a crucial role in ensuring a safe and effective human-robot clos e collaboration in intelligent remanufacturing systems of the future. Existing w orks can be categorized into two groups: those focusing on accuracy, predicting a single future motion, and those generating diverse predictions based on observ ations.” Financial support for this research came from National Science Foundation (NSF).
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 originating in Hefei, People’s Republic of China , by NewsRx journalists, research stated, “A deformable robot is a new type of r obot that utilises a metamorphic mechanism into the field of robotics and switch es between vehicular and humanoid states during reconstruction processes. In the process of driving reconstruction of the deformable robot, the nonlinear vibrat ion will be generated due to the excitation of uneven roads, and tipping instabi lity of the deformable robot may occur.” 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 – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Zuric h, Switzerland, by NewsRx correspondents, research stated, “Synthetic computed t omography (sCT) generated from magnetic resonance imaging (MRI) can serve as a s ubstitute for planning CT in radiation therapy (RT), thereby removing registrati on uncertainties associated with multi-modality imaging pairing, reducing costs and patient radiation exposure. CE/FDA-approved sCT solutions are nowadays avail able for pelvis, brain, and head and neck, while more complex deep learning (DL) algorithms are under investigation for other anatomic sites.” Our news editors obtained a quote from the research from University Hospital Zur ich, “The main challenge in achieving a widespread clinical implementation of sC T lies in the absence of consensus on sCT commissioning and quality assurance (Q A), resulting in variation of sCT approaches across different hospitals. To addr ess this issue, a group of experts gathered at the ESTRO Physics Workshop 2022 t o discuss the integration of sCT solutions into clinics and report the process a nd its outcomes.”
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