RiNALmo wins Most Ambitious Submission at ML4LMS Workshop
6 August 2024 - Congratulations to the A*STAR team who developed RiNALMo, on clinching the “Most Ambitious Submission” out of the 144 submissions received at the Machine Learning for Life and Material Science workshop at the International Conference on Machine Learning (ICML), one of the top AI conferences in the world!
Presented by Tin Vlasic from A*STAR’s Genome Institute of Singapore (GIS) at the ICML, RiNALMo was developed at GIS’ Laboratory for AI in Genomics, led by Prof Mile Šikić in collaboration with Dr Yue Wan (GIS) and Dr Roland G. Huber (BII). It is currently the largest RNA language model that shows previously unseen generalisations on downstream tasks such as secondary structure prediction, which opens new opportunities in developing RNA-based drugs. RiNALMo has 650 million parameters pre-trained on 36 million non-coding RNA sequences from several available databases. Check out RiNALMo via the following links:
RiNALMo preprint: https://arxiv.org/abs/2403.00043
RiNALMO code: https://github.com/lbcb-sci/RiNALMo
