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    Memorial Sloan-Kettering Cancer Center Reports Findings in Artificial Intelligen ce (A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Inva sive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms)

    48-49页
    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 New York City, Ne w York, by NewsRx journalists, research stated, “Artificial intelligence(AI)-sy stems can improve cancer diagnosis, yet their development often relies on subjec tive histologicalfeatures as ground truth for training. Here, we developed an A I-model applied to histological whole-slideimages (WSIs) using CDH1 bi-allelic mutations, pathognomonic for invasive lobular carcinoma (ILC) inbreast neoplasm s, as ground truth.”

    Wuhan Polytechnic University Researchers Describe Findings in Robotics (Establis hment and experiment verification of screw thrust model of spiral robot for gran ary)

    49-50页
    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 robotic s. According to news reporting from Hubei,People’s Republic of China, by NewsRx journalists, research stated, “To clarify the interaction mechanismmodel betwe en screw and grain in grain pile depth, and to determine the mechanical characte ristics ofscrew of spiral robot for granary at different speeds and depths, so as to provide the design basis for themotion control system.”

    McGill University Reports Findings in Food Safety (Frontiers of machine learning in smart food safety)

    50-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Foodborne Diseases and Conditions - Food Safety is the subject ofa report. According to news reportin g from Montreal, Canada, by NewsRx journalists, research stated,“Integration of machine learning (ML) technologies into the realm of smart food safety represen ts a rapidlyevolving field with significant potential to transform the manageme nt and assurance of food quality andsafety. This chapter will discuss the capab ilities of ML across different segments of the food supply chain,encompassing p re-harvest agricultural activities to post-harvest processes and delivery to the consumers.”

    University of Cambridge Reports Findings in Machine Learning (Machine-Learning P rediction of Curie Temperature from Chemical Compositions of Ferromagnetic Mater ials)

    51-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Cambridge, United Kingdo m, by NewsRx journalists, research stated, “Room-temperatureferromagnets are hi gh-value targets for discovery given the ease by which they could be embedded within magnetic devices. However, the multitude of potential interactions among ma gnetic ions and theirsurrounding environments renders the prediction of thermal ly stable magnetic properties challenging.”

    Investigators from Fudan University Release New Data on Machine Learning (Identi fying Direct Bandgap Silicon Structures With Highthroughput Search and Machine Learning Methods)

    52-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting originating in Shanghai, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Utilizations of silicon-based luminescent devices are restricted by the indirect-gap nature o f diamondsilicon. In this study, a high-throughput method is employed to expedi te discoveries of direct-gap siliconcrystals.”

    New Machine Learning Data Have Been Reported by Investigators at Delta Universit y for Science and Technology (Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques)

    53-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Mansoura, Egypt, by NewsRx correspondents, research stated, “The diseases that particularlyaffect potato leaves are early blight and the late blight, and they are dangerous as th ey reduce yieldand quality of the potatoes. In this paper, different machine le arning (ML) models for predicting thesediseases are analysed based on a detaile d database of more than 4000 records of weather conditions.”

    New Machine Learning Study Findings Have Been Reported from Nanjing University ( Scalable Differentially Private Model Publishing Via Private Iterative Sample Se lection)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “Model publishing anddeployment are essential for artificial intelligence applications. A major challenge in model publishing isefficiently distributing the models in a scalable way without viol ating the privacy of sensitive data.”

    Data on Autism Spectrum Disorders Reported by Mohamed Gharzouli and Colleagues ( A novel multi-modal model to assist the diagnosis of autism spectrum disorder us ing eye-tracking data)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Developmental Diseases and Conditions - Autism Spectrum Disordersis the subject of a report. Accordin g to news originating from Constantine, Algeria, by NewsRx correspondents,resea rch stated, “Timely and accurate detection of Autism Spectrum Disorder (ASD) is essentialfor early intervention and improved patient outcomes. This study aims to harness the power of machinelearning (ML) techniques to improve ASD detectio n by incorporating temporal eye-tracking data.”

    University of Foggia Reports Findings in Tooth Loss (Exploring the accuracy of t ooth loss prediction between a clinical periodontal prognostic system and a mach ine learning prognostic model)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Dental Diseases and Co nditions - Tooth Loss is the subject of areport. According to news reporting ou t of Foggia, Italy, by NewsRx editors, research stated, “The aim of this analysi s was to compare a clinical periodontal prognostic system and a developed and ex ternallyvalidated artificial intelligence (AI)-based model for the prediction o f tooth loss in periodontitis patientsunder supportive periodontal care (SPC) f or 10 years. Clinical and radiographic parameters were analysedto assign tooth prognosis with a tooth prognostic system (TPS) by two calibrated examiners from differentclinical centres (London and Pittsburgh).”

    Reports Outline Robotics Study Results from Central China Normal University (Det ecting Transitions from Stability to Instability in Robotic Grasping Based on Ta ctile Perception)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on robotics have been pr esented. According to news originating fromWuhan, People’s Republic of China, b y NewsRx correspondents, research stated, “Robots execute diverseload operation s, including carrying, lifting, tilting, and moving objects, involving load chan ges or transfers.”