首页|Research from Kingston University in the Area of Machine Learning Published (Mat erial discovery and modeling acceleration via machine learning)
Research from Kingston University in the Area of Machine Learning Published (Mat erial discovery and modeling acceleration via machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting out of London, United Kingdom, by NewsRx editors, research stated, “This paper delves into the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) i n materials science, spotlighting their capability to expedite the discovery and development of newer, more efficient, and stronger compounds.” The news correspondents obtained a quote from the research from Kingston Univers ity: “It underscores the shift from traditional, resource-intensive approaches t oward data-driven methodologies that leverage large datasets to predict properti es, identify new materials, and optimize synthesis conditions with a satisfactor y level of accuracy. Highlighting various techniques, including supervised, unsu pervised, and reinforcement learning, alongside deep learning potential, the cha pter presents case studies and applications ranging from predicting stress point s in stochastic fields to optimizing thermal protection systems for spacecraft r e-entry.”
Kingston UniversityLondonUnited King domEuropeCyborgsEmerging TechnologiesMachine Learning
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