Computer science articles from across Nature Portfolio

We trained an artificial intelligence (AI) system to recommend different interactions and connections between humans playing a group game together. Through trial and error, the AI system learned to take an encouraging approach to uncooperative individuals, keeping them engaged with the group and boosting cooperation levels for everyone.

Want to mute or focus on speech from a specific region in a crowded room? Here, the authors built an acoustic swarm that, along with neural networks, separates and localizes concurrent speakers in the 2D space with high precision.

Local methods of explainable artificial intelligence identify where important features or inputs occur, while global methods try to understand what features or concepts have been learned by a model. The authors propose a concept-level explanation method that bridges the local and global perspectives, enabling more comprehensive and human-understandable explanations.

As debate rages over the abilities of modern AI systems, scientists are still struggling to effectively assess machine intelligence.

Amy Ko’s accident gave her an insight into the degree to which her discipline caters mainly to non-disabled people, reinspiring her to invent more accessible programming languages.

Some Japanese researchers feel that AI systems trained on foreign languages cannot grasp the intricacies of Japanese language and culture.

Researchers have developed a model trained similarly to ChatGPT that can be adapted to evaluate multiple health conditions.

Manuscripts that don’t disclose AI assistance are slipping past peer reviewers.

We trained an artificial intelligence (AI) system to recommend different interactions and connections between humans playing a group game together. Through trial and error, the AI system learned to take an encouraging approach to uncooperative individuals, keeping them engaged with the group and boosting cooperation levels for everyone.