Recent advancements in large language models (LLMs) have sparked optimism about their
potential to accelerate scientific discovery, with a growing number of works proposing …

Social engineering (SE) attacks remain a significant threat to both individuals and
organizations. The advancement of Artificial Intelligence (AI), including diffusion models and …

In this edition of NEJM AI, Ifargan and colleagues present data-to-paper, an autonomous
platform designed to mimic human scientific practice by guiding a large language model …

Large Language Models (LLMs) have emerged as transformative tools in artificial
intelligence, capable of processing and understanding extensive human knowledge to …

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely
studied as a crucial aspect of human cognition. Machine creativity on the other hand has …

In contemporary biomedical research, the efficiency of data-driven approaches is hindered
by large data volumes, tool selection complexity, and human resource limitations …

Historically, scientific discovery has been a lengthy and costly process, demanding
substantial time and resources from initial conception to final results. To accelerate scientific …

Large language models (LLMs) have demonstrated exceptional performance across various
fields, including chemistry, mathematics, medical science, and materials science. However …

In this tutorial, we will explore the intersection of causality and large language models
(LLMs). Our goal is to provide a comprehensive understanding of how causal inference can …

The accelerating pace of scientific research highlights the need for more efficient, accurate,
and comprehensive methodologies. Traditional research methods are often hindered by the …