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 - Robotics and Automation. According to news reporting from Guangdong, Pe ople’s Republic of China, by NewsRx journalists, research stated, “3D semantic o ccupancy prediction is a pivotal task in the field of autonomous driving. Recent approaches have made great advances in 3D semantic occupancy predictions on a s ingle modality.” Financial support for this research came from Guangzhou Fundamental and Applied Basic Research.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on symmetric cryptol ogy are discussed in a new report. According to news reporting originating from Nancy, France, by NewsRx correspondents, research stated, “The impossible boomer ang attack, introduced in 2008 by Jiqiang Lu, is an extension of the impossible differential attack that relies on a boomerang distinguisher of probability 0 fo r discarding incorrect key guesses.” The news editors obtained a quote from the research from University of Lorraine: “In Lu’s work, the considered impossible boomerang distinguishers were built fr om 4 (different) probability-1 differentials that lead to 4 differences that do not sum to 0 in the middle, in a miss-in-the-middle way. In this article, we stu dy the possibility of extending this notion by looking at finerlevel contradicti ons that derive from boomerang switch constraints. We start by discussing the ca se of quadratic Feistel ciphers and in particular of the Simon ciphers. We explo it their very specific boomerang constraints to enforce a contradiction that cre ates a new type of impossible boomerang distinguisher that we search with an SMT solver. We next switch to word-oriented ciphers and study how to leverage the B oomerang Connectivity Table contradictions. We apply this idea to SKINNYee, a re cent tweakable block cipher proposed at Crypto 2022 and obtain a 21-round distin guisher.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Artificial Intellige nce (AI) technology is spearheading a new industrial revolution, which provides ample opportunities for the transformational development of traditional fermenta tion processes. During plasmid fermentation, traditional subjective process cont rol leads to highly unstable plasmid yields.” Funders for this research include National Key Research and Development Program of China, Shanghai Rising-Star Program.
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 reporting originating from the Universi ty Indonesia by NewsRx correspondents, research stated, “Landslide susceptibilit y projections that rely on independent models produce biased results.” The news correspondents obtained a quote from the research from University Indon esia: “This situation will worsen class balance if working with a small populati on. This study proposes a landslide susceptibility prediction model based on res ampling, cross-validation, bootstrap, and random subsampling approaches, which i s integrated with the machine learning model, generalized linear model, support vector machine, random forest, boosted regression trees, classification and regr ession tree, multivariate adaptive regression splines, mixture discriminate anal ysis, flexible discriminant analysis, maximum entropy, and maximum likelihood. T his methodology was applied in Kendari City, an urban area which faced destructi ve erosion. Area under the ROC curve (AUC), true skill statistics (TSS), correla tion coefficient (COR), normalized mutual information (NMI), and correct classif ication rate (CCR) were used to evaluate the predictive accuracy of the proposed model. The results show that the resampling algorithm improves the performance of the standalone model. Results also revealed that standalone models had better performance with the CV algorithm compared to the Bt and RS algorithms.”
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 Machine Learning. According to news reporting originating in Brisbane, Australia, by Ne wsRx journalists, research stated, “Smart cities result from integrating advance d technologies and intelligent sensors into modern urban infrastructure. The Int ernet of Things (IoT) and data integration are pivotal in creating interconnecte d and intelligent urban spaces.” Financial support for this research came from Australian Government: Australian Research Council (ARC) Industrial Transformation Training Centre (ITTC) for Join t Biomechanics.
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 reporting from Sao Paulo, Brazil, by NewsRx journalists, research stated, “Forecasting returns in financial markets is notor iously challenging due to the resemblance of price changes to white noise.” Funders for this research include Capes/print-brazil; Nyu Wireless. Our news correspondents obtained a quote from the research from Universidade Pre sbiteriana Mackenzie: “In this paper, we propose novel methods to address this c hallenge. Employing high-frequency Brazilian stock market data at one-minute gra nularity over a full year, we apply various statistical and machine learning alg orithms, including ARIMA, Bidirectional Long Short-Term Memory (BiLSTM) with att ention, Transformers, N-BEATS, N-HiTS, Convolutional Neural Networks (CNNs), and Temporal Convolutional Networks (TCNs) to predict changes in the price ratio of closely related stock pairs. Our findings indicate that a combination of revers ion and machine learning-based forecasting methods yields the highest profit-per -trade.”
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 have been published. According to news reporting from Xi’an, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Tendon-driven continuum robots are of great promise in dexterous manipulation in long-narrow spaces, such as in-si tu maintenance of aeroengines, due to their slender body and compliant hyper-red undant architecture. However, major challenges in implementing this come from me chanical design and morphology estimation: torsion and buckling issues induced b y the intrinsic compliant architecture and the coupling of system gravity and di stal loads; and low-accuracy morphology model influenced by complex load conditi ons.” 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 – Current study results on Machine Learn ing have been published. According to news reporting originating in Da Nang, Vie tnam, by NewsRx journalists, research stated, “The current design codes for eval uating the shear strength of concrete beams reinforced with fiber-reinforced pol ymer (FRP) bars predominantly rely on a semi-empirical approach through test dat a calibration without a robust theoretical background. This approach may lead to either overestimation or underestimation, resulting in significant scattering i n strength predictions.”
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 Ma chine Learning. According to news reporting from London, United Kingdom, by News Rx journalists, research stated, “Imminent robotic and human activities on the M oon and other planetary bodies would benefit from advanced in situ Computer Visi on and Machine Learning capabilities to identify and quantify microparticle terr estrial contaminants, lunar regolith disturbances, the flux of interplanetary du st particles, possible interstellar dust, fl -meteoroids, and secondary impact e jecta. The YOLO-ET (ExtraTerrestrial) algorithm, an innovation in this field, fi ne-tunes Tiny-YOLO to specifically address these challenges.”
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 Kelowna, Canada, by NewsRx correspondents, research stated, “This work presents a prototype of an intellige nt quality inspection tool for application to fibers distortion monitoring in th e fabric composites forming processes. To this end, a series of hemisphere drapi ng tests on a typical commingled fiberglass/polypropylene twill weave were condu cted at the dry form, and the defects (inplane and out-ofplane) for each formed part were inspected via camera vision.” Financial support for this research came from Natural Sciences and Engineering R esearch Council of Canada (NSERC).
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