“Large language models hold immense potential to transform biomedical research by making complex data and analysis tasks more accessible,” said Julio Saez-Rodriguez, PhD, head of research, European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI). “However, to ...
LANGUAGE modelsVIRAL genesVIRAL proteinsAMINO acid sequenceANNOTATIONSMOLECULAR biologyBackground: The annotation of protein sequences in public databases has long posed a challenge in molecular biology. This issue is particularly acute for viral proteins, which demonstrate limited homology to known proteins...
Code is the language of computers. Protein and molecular sequences are the language of biology. Large language models can be applied to such languages or scenarios in which communication of different types is needed. These models broaden AI’s reach across industries and enterprises, and are expec...
59 Applications of optimal transportation in causal inference 1:02:02 The Emergence of Spatial Patterns for Diffusion-Coupled Compartments with Activa 58:24 Agent-based models_ from bacterial aggregation to wealth hot-spots 59:12 Siegel-Veech transform 1:00:07 Random plane geometry -- a gentle ...
models_ Lecture 3 1:27:48 Non-realizability of polytopes via linear programming 54:47 Optimal Transport for Machine Learning_ Lecture 1 1:37:02 Optimal Transport for Machine Learning_ Lecture 2 1:33:35 Optimal Transport for Machine Learning_ Lecture 3 1:38:37 Recent advances in dynamical ...
Although numerous equivalent mutant detection (EMD) techniques have been proposed, they exhibit limitations due to the scarcity of training data and challenges in generalizing to unseen mutants. Recently, large language models (LLMs) have been extensively adopted in various code-related tasks and have...
Biomedical knowledge graphs (KGs) constructed from medical literature have been widely used to validate biomedical discoveries and generate new hypotheses. Recently, large language models (LLMs) have demonstrated a strong ability to generate human-like t
💥 [2024/01] Our survey paper 'Scientific Large Language Models: A Survey on Biological & Chemical Domains' has been released onarXiv. In this survey, we focus on scientific languages (i.e., textual, molecular, protein and genomic languages), as well as their combination (i.e., multimo...
Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are ...
Large Language Models (LLMs) are driving advancements in artificial intelligence by increasing the scale of model parameters, which has significantly enhanced generalization ability and unlocked new capabilities in practice. However, their performance in specific downstream tasks is usually hindered by their...