This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Creativity is core to being human. Generative artificial intelligence (AI)—including powerful
large language models (LLMs)—holds promise for humans to be more creative by offering …

Background Expert feedback lays the foundation of rigorous research. However, the rapid
growth of scholarly production challenges the conventional scientific feedback mechanisms …

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might
improve research. Why are AI tools so attractive and what are the risks of implementing them …

We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

Abstract Machine learning (ML) has revolutionized robotics by enhancing perception,
adaptability, decision-making and more, enabling robots to work in complex scenarios …

We present a new framework integrating the AI model GPT‐4 into the iterative process of
reticular chemistry experimentation, leveraging a cooperative workflow of interaction …

Electronic skins (e-skins) have seen intense research and rapid development in the past two
decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors …