首页|Agency for Science Technology and Research (A*STAR) Reports Findings in Machine Learning (Accelerating Formulation Design via Machine Learning: Generating a Hig h-throughput Shampoo Formulations Dataset)
Agency for Science Technology and Research (A*STAR) Reports Findings in Machine Learning (Accelerating Formulation Design via Machine Learning: Generating a Hig h-throughput Shampoo Formulations Dataset)
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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 Singapore, Singapore, by NewsRx journalists, research stated, “Liquid formulations areubiquitous yet ha ve lengthy product development cycles owing to the complex physical interactions betweeningredients making it difficult to tune formulations to customer-define d property targets. Interpolative MLmodels can accelerate liquid formulations d esign but are typically trained on limited sets of ingredientsand without any s tructural information, which limits their out-of-training predictive capacity.”
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