An ‘introspective’ AI finds diversity improves performance
An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.
At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working together toward shared goals.
A study published in the journal Science Advances finds that AI enhances creativity by boosting the novelty of story ideas as well as the 'usefulness' of stories—their ability to engage the target audience and potential for publication. The paper is titled "Generative AI enhances individual creativity but reduces the collective…