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    Studies from University of Antwerp in the Area of Robotics and Automation Descri bed (Lidar-bind: Multi-modal Sensor Fusion Through Shared Latent Embeddings)

    155-155页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news originating from Antwerp, B elgium, by NewsRx correspondents, research stated, “This letter presents LiDAR-B IND, a novel sensor fusion framework aimed at enhancing the reliability and safe ty of autonomous vehicles (AVs) through a shared latent embedding space. With th is method, the addition of different modalities, such as sonar and radar, into e xisting navigation setups becomes possible.” Financial support for this research came from FWO.

    New Findings Reported from University of California Los Angeles (UCLA) Describe Advances in Artificial Intelligence (Frontiers in artificial intelligence-direct ed light-sheet microscopy for uncovering biological phenomena and multiorgan ima ging)

    155-156页
    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 new report. According to news reporting from the Universit y of California Los Angeles (UCLA) by NewsRx journalists, research stated, “Ligh t-sheet fluorescence microscopy (LSFM) introduces fast scanning of biological ph enomena with deep photon penetration and minimal phototoxicity.” Financial supporters for this research include National Heart, Lung, And Blood I nstitute.

    Tecnologico de Monterrey Reports Findings in Machine Learning (TECRR: a benchmar k dataset of radiological reports for BI-RADS classification with machine learni ng, deep learning, and large language model baselines)

    156-157页
    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 reporting originating in Nuevo Leon, Me xico, by NewsRx journalists, research stated, “Recently, machine learning (ML), deep learning (DL), and natural language processing (NLP) have provided promisin g results in the free-form radiological reports’ classification in the respectiv e medical domain. In order to classify radiological reports properly, a high-qua lity annotated and curated dataset is required.”

    Research on Artificial Intelligence Detailed by Researchers at School of Intelli gent Manufacturing (Exploring User Behavioral Intentions and Their Relationship With AI Design Tools: A Future Outlook on Intelligent Design)

    158-158页
    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 originating from Hefei, People’ s Republic of China, by NewsRx editors, the research stated, “In the context of the swift advancement and integration of generative artificial intelligence (AI) technologies into the design realm, comprehending user acceptance of these adva nced tools has emerged as a pivotal issue. The primary purpose of this research is to examine and understand the factors influencing user acceptance and behavio ral intentions towards generative artificial intelligence (AI) technologies in t he design field.” Financial supporters for this research include Anhui Provincial Key Scientific R esearch Projects in Colleges And Universities Program.

    Data on Artificial Intelligence Published by a Researcher at Institute of Polyme rs (Compositional Analysis and Mechanical Recycling of Polymer Fractions Recover ed via the Industrial Sorting of Post-Consumer Plastic Waste: A Case Study towar d ...)

    159-159页
    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 originating from Pozz uoli, Italy, by NewsRx correspondents, research stated, “Nowadays, society is or iented toward reducing the production of plastics, which have a significant impa ct on the environment.” Funders for this research include Italian Ministry of Economic Development.

    Reports from FAMU-FSU College of Engineering Describe Recent Advances in Machine Learning (Transferability of machine-learningbased modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds)

    160-160页
    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 Tallahassee, Flor ida, by NewsRx correspondents, research stated, “Despite applications of machine learning (ML) models for predicting floods, their transferability for out-of-sa mple data has not been explored.” Financial supporters for this research include Division of Civil, Mechanical And Manufacturing Innovation.

    Naval Medical University Reports Findings in Personalized Medicine (Development of a prognostic model related to homologous recombination deficiency in glioma b ased on multiple machine learning)

    161-161页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating from Shanghai, People’s Republic of China, by NewsRx correspondents, r esearch stated, “Despite advances in neuro-oncology, treatments of glioma and to ols for predicting the outcome of patients remain limited. The objective of this research is to construct a prognostic model for glioma using the Homologous Rec ombination Deficiency (HRD) score and validate its predictive capability for gli oma.”

    Study Results from Guangzhou University Update Understanding of Machine Learning (Prediction Model Establishment for Residential Community Occupancy Considering Urban Environment)

    162-162页
    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 originating from Guangdong, People’s Republic of China, by NewsRx correspondents, research stated, “The accurate pred iction of occupancy rates within the residential sector is pivotal for urban and energy planning and management. This study aims at addressing the often-neglect ed influence of regional variations within urban settings on occupancy rates by employing multi-source urban data and explainable machine learning algorithms.”

    Jan Kochanowski University Reports Findings in Artificial Intelligence [Repeatability and reproducibility of artificial intelligenceacquired fetal brai n measurements (SonoCNS) in the second and third trimesters of pregnancy]

    163-164页
    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 in Kielce, Poland, by NewsRx journalists, research stated, “Artificial Intelligence (AI)- b ased algorithms are increasingly entering clinical practice, aiding in the asses sment of fetal anatomy and biometry. One such tool for evaluating the fetal head and central nervous system structures is SonoCNS™ which delineates appropriate planes for measuring head circumference (HC), biparietal diameter (BPD), occipi tofrontal diameter (OFD), transcerebellar diameter (TCD), width of the posterior horn of the lateral ventricle (Vp), and cisterna magna (CM) based on a 3D volum e acquired at the level of the fetal head’s thalamic plane.”

    Reports Summarize Machine Learning Study Results from University of Warsaw (Mach ine Learning In Analytical Chemistry for Cultural Heritage: a Comprehensive Revi ew)

    164-164页
    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 from Warsaw, Po land, by NewsRx correspondents, research stated, “In recent years, machine learn ing (ML) has gained significant importance in the field of cultural heritage res earch. Its advanced data analysis techniques have become a crucial tool in many areas of heritage science.” Financial support for this research came from National Science Centre, Poland.