首页|Study Findings from Georgia Institute of Technology Provide New Insights into Ar tificial Intelligence (Applications of Artificial Intelligence/machine Learning To High-performance Composites)

Study Findings from Georgia Institute of Technology Provide New Insights into Ar tificial Intelligence (Applications of Artificial Intelligence/machine Learning To High-performance Composites)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Artificial Intelligence. According to news originating from Atlanta, Georgia, by NewsRx correspondents, research stated, "With the booming prosperity of artific ial intelligence (AI) technology, it triggers a paradigm shift in engineering fi elds including material science. The integration of AI and machine learning (ML) techniques in material science brings significant advancements in understanding and characterizing underlying physics." Funders for this research include National Science Foundation (NSF), National Sc ience Foundation (NSF). Our news journalists obtained a quote from the research from the Georgia Institu te of Technology, "Due to the overall outstanding properties compared to convent ional metallic materials, high-performance fiber reinforced polymer (FRP) compos ites have attracted great interest. This article aims to provide a comprehensive review of the stateof-the-art works of applying AI/ML methods in high-performan ce FRP composites, focusing on four critical stages throughout the product life cycle, i.e., design, manufacturing, testing, and monitoring. This present study covers the tasks of material development and selection, process modeling and opt imization, material property prediction, and damage diagnosis and prognosis in t he four stages, which are conducted with the aid of advanced AI/ ML algorithms."

AtlantaGeorgiaUnited StatesNorth a nd Central AmericaArtificial IntelligenceCyborgsEmerging TechnologiesMac hine LearningGeorgia Institute of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.4)