AI Models Predict Neuroscience Outcomes Better Than Experts: Study

London, 27 Nov (ONA) --- Large language models (LLMs), advanced AI systems trained on vast text datasets, found to outperform human experts in predicting neuroscience study results, according to a study by the University College London (UCL).

Published in Nature Human Behaviour, the research highlights LLMs' ability to identify patterns in scientific literature, enabling them to forecast experimental outcomes with remarkable accuracy.

Lead researcher Dr. Ken Luo of UCL Psychology & Language Sciences explained that while previous studies focused on LLMs' ability to retrieve and summarize past knowledge, this research explored their potential to synthesize information and predict future findings. “Scientific progress often relies on trial and error, which is time-consuming.

LLMs can accelerate this process by uncovering overlooked insights in literature,” Luo noted.

This breakthrough suggests a transformative role for AI in scientific discovery, complementing human expertise and advancing neuroscience and other fields.

---Ends/Thuraiya/AG