首页|Researchers from Department of Inorganic Chemistry Describe Findings in Machine Learning (Integrating Digital Chemistry Within the Broader Chemistry Community)
Researchers from Department of Inorganic Chemistry Describe Findings in Machine Learning (Integrating Digital Chemistry Within the Broader Chemistry Community)
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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 Zaragoza, Spain, by NewsRx jo urnalists, research stated, “The rapid progress of digital chemistry has profoun dly transformed chemical research. Despite this evolution, there are implementat ion gaps that hinder the widespread adoption of such digital protocols among a s ignificant portion of the chemistry community.” Funders for this research include Gobierno de Aragn-Fondo Social Europeo, State Research Agency of Spain (MCIN/AEI/FEDER, UE), Gobierno de Aragon. The news correspondents obtained a quote from the research from the Department o f Inorganic Chemistry, “For example, technologies such as computational chemistr y and machine learning often present steep learning curves that discourage poten tial users who could otherwise benefit from them. This review focuses on classic al and recent advances in the automation and generalization of digital chemistry , examining the evolution of the field while highlighting popular cheminformatic s tools.”
ZaragozaSpainEuropeChemistryCybo rgsEmerging TechnologiesMachine LearningTechnologyDepartment of Inorgani c Chemistry
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