Scientific Workflow

Scientific workflows, encompassing the sequence of computational and experimental steps in scientific research, are being revolutionized by advancements in artificial intelligence. Current research focuses on automating workflow design and execution using large language models (LLMs) for tasks like protocol generation and anomaly detection, and reinforcement learning for optimized resource allocation in distributed environments. These improvements aim to enhance reproducibility, accelerate research processes, and enable more efficient use of computational resources, ultimately boosting scientific discovery and innovation across diverse fields.