Models (7)
Multimodal protein representation model that iteratively fuses a sequence language model with a 3D structure encoder through a shared learnable token.
Surface-EMG wristband models that decode hand gestures, handwriting, and wrist movement, generalizing across users without per-person calibration.
Brain-to-text decoder that reconstructs typed sentences from non-invasive MEG and EEG brain recordings using a CNN, transformer, and language model.
Scientific large language model trained on 48 million papers, textbooks, and reference works to store, combine, and reason about scientific knowledge.
Meta AI's family of protein language models scaled to 15B parameters, paired with ESMFold for fast, alignment-free atomic-level structure prediction.
Protein language model for zero-shot variant effect prediction, scoring mutations by log-odds from evolutionary sequences with no MSA or assay data.
Transformer protein language model trained on 250 million protein sequences that learns structural and functional representations without supervision.