Robotics & Machine Learning Daily News2024,Issue(Jul.12) :44-44.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.12) :44-44.

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)

扫码查看

Abstract

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.”

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文