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 London, United Ki ngdom, by NewsRx journalists, research stated, “To assess ChatGPT’s capability o f grading postoperative complications using the Clavien-Dindo classification (CD C) via Artificial Intelligence (AI) with Natural Language Processing (NLP). The CDC standardizes grading of postoperative complications.”
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 Skierniewice, Poland, by Ne wsRx correspondents, research stated, “Date palm (* * Phoenix dactylifera* * L.) fruit samples belonging to the ‘Mejhoul’ and ‘Boufeggous’ cultivars were harves ted at the Tamar stage and used in our experiments.” Financial supporters for this research include National Science Centre And The E uropean Union’s Horizon 2020 Research And Innovation Program Under The Marie Skl odowska-curie. The news editors obtained a quote from the research from National Institute of H orticultural Research: “Before scanning, date samples were dried using convectiv e drying at 60 °C and infrared drying at 60 °C with a frequency of 50 Hz, and th en they were scanned. The scanning trials were performed for two hundred date pa lm fruit in fresh, convective-dried, and infrared-dried forms of each cultivar u sing a flatbed scanner. The image-texture parameters of date fruit were extracte d from images converted to individual color channels in RGB, Lab, XYZ, and UVS c olor models. The models to classify fresh and dried samples were developed based on selected image textures using machine learning algorithms belonging to the g roups of Bayes, Trees, Lazy, Functions, and Meta. For both the ‘Mejhoul’ and ‘Bo ufeggous’ cultivars, models built using Random Forest from the group of Trees tu rned out to be accurate and successful. The average classification accuracy for fresh, convective-dried, and infrared-dried ‘Mejhoul’ reached 99.33% , whereas fresh, convective-dried, and infrared-dried samples of ‘Boufeggous’ we re distinguished with an average accuracy of 94.33%.”
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 Amherst, Massach usetts, by NewsRx journalists, research stated, “We explore security aspects of a new computing paradigm that combines novel memristors and traditional Complime ntary Metal Oxide Semiconductor (CMOS) to construct a highly efficient analog an d/or digital fabric that is especially well-suited to Machine Learning (ML) infe rence processors for Radio Frequency (RF) signals. Analog and/or hybrid hardware designed for such application areas follows different constraints from that of traditional CMOS.” Funders for this research include Army Research Laboratory.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Pittsburgh, Pennsylvania, by NewsRx journalists, research stated, “We present a machine learning approach tha t expedites structure-property analysis in materials, bypassing traditional feat ure extraction and exploratory data analysis techniques. This objective is accom plished by employing a variational autoencoder (VAE) structure that is modified to include a regressor network for property prediction (VAERegression).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating from New Haven, Connecticut, by NewsRx corr espondents, research stated, “A robot that uses fabrics as its core body materia l can be lightweight, compact, and highly flexible. Ideally, the robot’s actuati on, sensing, and structural support are provided by fiber-based components, desi gned to integrate with the fabric’s soft and conformable nature while preserving its fiber architecture.” Funders for this research include National Aeronautics & Space Adm inistration (NASA), 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 – New study results on artificial intell igence have been published. According to news originating from Stanford, Califor nia, by NewsRx correspondents, research stated, “Clinical prediction models ofte n aim to predict rare, high-risk events, but building such models requires robus t understanding of imbalance datasets and their unique study design consideratio ns.” Our news journalists obtained a quote from the research from Stanford University : “This practical guide highlights foundational prediction model principles for surgeon-data scientists and readers who encounter clinical prediction models, fr om feature engineering and algorithm selection strategies to model evaluation an d design techniques specific to imbalanced datasets. We walk through a clinical example using readable code to highlight important considerations and common pit falls in developing machine learning-based prediction models.”
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 originating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “Accurate prediction of the future evolution of observational time series is a paramount challenge in c urrent datadriven research. While existing techniques struggle to learn useful representations from the temporal correlations, the high dimensionality in spati al domain is always considered as obstacle, leading to the curse of dimensionali ty and excessive resource consumption.” Financial supporters for this research include National Natural Science Foundati on of China, Science and Technology Commission of Shanghai Municipality.
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 from College Station, Texas , by NewsRx journalists, research stated, “The successful prediction of minimum ignition energies (MIEs) for 55 flammable organic molecules has been accomplishe d through group contribution and machine learning methods. The applied technique s include least squares regression, Huber regression, and kernel ridge regressio n, with the Marrero/Gani method applied to determine structurally dependent desc riptors to uniquely characterize each molecule.”
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 originating from Chiba, Japan, by NewsRx correspondents, r esearch stated, “The simulation-to-reality (sim2real) problem is a common issue when deploying simulation-trained models to real-world scenarios, especially giv en the extremely high imbalance between simulation and real-world data (scarce r eal-world data).” The news editors obtained a quote from the research from Chiba University: “Alth ough the cycleconsistent generative adversarial network (CycleGAN) has demonstr ated promise in addressing some sim2real issues, it encounters limitations in si tuations of data imbalance due to the lower capacity of the discriminator and th e indeterminacy of learned sim2real mapping. To overcome such problems, we propo sed the imbalanced Sim2Real scheme (ImbalSim2Real). Differing from CycleGAN, the ImbalSim2Real scheme segments the dataset into paired and unpaired data for two -fold training. The unpaired data incorporated discriminator-enhanced samples to further squash the solution space of the discriminator, for enhancing the discr iminator’s ability. For paired data, a term targeted regression loss was integra ted to ensure specific and quantitative mapping and further minimize the solutio n space of the generator. The ImbalSim2Real scheme was validated through numeric al experiments, demonstrating its superiority over conventional sim2real methods .”
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 Balti more, Maryland, by NewsRx correspondents, research stated, “Artificial intellige nce (AI) is reshaping health care, including nursing, across Asia, presenting op portunities to improve patient care and outcomes. This viewpoint presents our pe rspective and interpretation of the current AI landscape, acknowledging its evol ution driven by enhanced processing capabilities, extensive data sets, and refin ed algorithms.”
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