Morning Overview on MSN

AI model cracks yeast DNA code to turbocharge protein drug output

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...
IEEE

Multi-Granular Encoder-Decoder Architecture for Explainable Fact-Checking via Multi-Task Learning

Abstract: While significant advances have been made in fact-checking systems, many AI models still struggle to understand the multi-granular relationships between claims and evidence. The inability of ...
GitHub

Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination

Cryo-electron microscopy (cryo-EM) is a key technology for determining the structures of proteins, particularly large protein complexes. However, automatically building high-accuracy protein ...
IEEE

PCEED-Net: A Physics-Constrained Enhanced Encoder-Decoder Network for Precipitation Nowcasting

Abstract: Precipitation nowcasting provides precipitation intensity and coverage estimates over a short future period. Accurate precipitation nowcasting is essential for agriculture, flood warnings, ...
GitHub

GLM-OCR: Accurate × Fast × Comprehensive

GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture. It introduces Multi-Token Prediction (MTP) loss and stable full-task ...