Robotics & Machine Learning Daily News2024,Issue(Apr.30) :35-36.

Researchers’ Work from Singapore Institute of Technology Focuses on Machine Lear ning (Anfis-driven Machine Learning Automated Platform for Cooling Crystallizati on Process Development)

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :35-36.

Researchers’ Work from Singapore Institute of Technology Focuses on Machine Lear ning (Anfis-driven Machine Learning Automated Platform for Cooling Crystallizati on Process Development)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofSingapore, Singapore, by NewsRx ed itors, research stated, “Manual crystallization trials have historicallyposed s ignificant challenges, demanding substantial expertise for process development a nd often offering unpredictable outcomes. This study addresses these difficultie s by introducing an automated system thatalleviates the need for manual iterati ons and intuitive deductions.”Financial support for this research came from Pfizer-Pharma Innovation Programme Singapore (PIPS)Grant.

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Singapore Institute of Technology

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