Researchers at Washington University in St. Louis are using machine learning to better predict who will experience persistent pain after surgery.

Researchers have validated a technique for studying how people make “moral” decisions when driving, with the goal of using the resulting data to train the artificial intelligence used in autonomous vehicles. These moral psychology experiments were tested using the most critical audience researchers could think of: philosophers.

Every query typed into a large language model (LLM), such as ChatGPT, requires energy and produces CO₂ emissions. Emissions, however, depend on the model, the subject matter, and the user. Researchers have now compared 14 models and found that complex answers cause more emissions than simple answers, and that models that provide more accurate answers produce more emissions. Users can, however, to an extent, control the amount of CO₂ emissions caused by AI by adjusting their personal use of the technology, the researchers said. 

To find the best catalyst for green ammonia, researchers were staring down 8000 lab experiments. With AI, they only needed 28.