Software-driven hardware configurations account for the majority of modern safety-critical complex systems. The often costly failures of such systems can be attributed to software specific, hardware ...

Large Language Models (LLMs) are increasingly prominent in the recommendation systems domain. Existing studies usually utilize in-context learning or supervised finetuning on task-specific data to ...

Antibodies are indispensable in biomedicine. However, conventional antibody development faces challenges, including high costs and lengthy production timelines spanning months. Here, we present a data ...