AI extracts hidden material rules from microscopic data to predict large-scale behavior

Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By automatically identifying a small number of hidden variables that capture the collective behavior of a system, the methods can predict how materials evolve over time while reducing the need …

AI chatbots can be as effective as humans at emotional support—sometimes better

New research led by The University of Manchester in collaboration with Durham University has found that AI chatbots such as ChatGPT can match—and in some situations outperform—humans as a source of everyday emotional support. However, the advantage depends on the emotional context, and a key ingredient for effective support—offering specific, actionable guidance—can boost the quality …