The Perspective through collaboration between NUS CDE, University of Michigan, and the University of Washington proposes a step-by-step approach for turning patterns found by AI into hypotheses that scientists can test and, if validated, apply in research and engineering.

SUTD researchers have found that older adults are most open to embracing social chatbots that feel authentic and socially engaging but not too human, offering clear lessons for designers of AI companions.

Living organisms constantly adjust their behavior according to what is happening inside their bodies. Hunger can shift attention toward food, while cold can make finding warmth more urgent. These internal signals remain meaningful even when the surrounding environment changes completely.

Artificial intelligence generally works differently. Most AI agents pursue objectives defined from the outside, and adapting those objectives or behaviors to changing conditions remains a major challenge.

Osaka Metropolitan University researchers conducted a scoping review to identify radiology studies validating commercially available medical AI products and to note reporting trends for sex, age, and ethnic demographic subgroups.