Robotics & Machine Learning Daily News2024,Issue(Oct.11) :92-93.

University College Dublin Reports Findings in Machine Learning (AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors)

Robotics & Machine Learning Daily News2024,Issue(Oct.11) :92-93.

University College Dublin Reports Findings in Machine Learning (AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Dublin, Irel and, by NewsRx correspondents, research stated, “Automated machine learning (Aut oML) solutions can bridge the gap between new computational advances and their r eal-world applications by enabling experimental scientists to build their own cu stom models. We examine different steps in the development life-cycle of peptide bioactivity binary predictors and identify key steps where automation cannot on ly result in a more accessible method, but also more robust and interpretable ev aluation leading to more trustworthy models.” Financial supporters for this research include Science Foundation Ireland, Europ ean Union’s Horizon 2020 research and innovation programme.

Key words

Dublin/Ireland/Europe/Cyborgs/Emergi ng 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