Foundation models, large neural networks pre-trained on massive unlabeled datasets and adapted for specific tasks, have reshaped natural language processing (NLP). The same approach is now being ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

In a recent study published in PNAS, researchers introduced the Genomic Pre-trained Network (GPN), a multispecies model developed to learn genome-wide variant effects by self-supervised pretraining on ...

Most people are familiar with the DNA double-helix. Its twisted ladder shape forms because the long pieces of DNA that make up our genome are exactly complementary—every adenine paired to a thymine, ...