A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...