In a new study, Oxford researchers reveal how deep neural networks naturally favour simpler solutions, crucially aiding accurate AI predictions.
Tag: Nature Communications
Research reveals mechanical neural networks can adapt and learn tasks independently, opening possibilities for smart materials optimising themselves in real-time.
Scientists at UK universities have introduced an AI tool, CrystaLLM, to streamline predicting crystal structures and speed future materials innovation.
Researchers have developed a new, cost-effective method for detecting microplastics in water using optical analysis and machine learning, promising significant advancements in environmental monitoring.
In a significant leap forward for pharmaceutical research, a team from the University of Cambridge has unveiled a pioneering platform that combines automated experimentation with artificial intelligence (AI) to predict chemical reactions, potentially accelerating the development of new drugs.





