Could tides have concentrated heat deep inside the moon? A new model reveals a possible heat source
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 2-Nov-2026 18:15 ET (2-Nov-2026 23:15 GMT/UTC)
Why did volcanic activity continue on the Moon long after its formation? Part of the answer may lie deep beneath the lunar surface, where tidal forces could have generated concentrated regions of internal heating.
LEAD Integrating big data and artificial intelligence offers a sustainable solution to optimize feed efficiency and reduce the environmental footprint of global poultry farming.
A chatbot that speaks naturally is more likely to be perceived by users as intelligent and useful, even if it spouts nonsense, research by communication scientists at Radboud University shows. An eloquent AI system that shares incorrect information is rated just as highly by users as a curt AI system that provides correct answers.
Dialogue discourse parsing aims to capture the relationships between utterances in a dialogue, facilitating a deeper understanding of dialogue structures and semantics, especially in long and complex dialogues. Existing research often develops separate dialogue discourse parsers for text-only and multimodal scenarios, largely due to the scarcity of parallel multimodal annotated datasets. This separation limits the ability to fully utilize diverse data with different modalities and poses challenges for real-world artificial intelligence applications.
Researchers have released CHN10-CUG, a high-resolution road dataset covering ten Chinese cities with road-surface, centerline and graph annotations.
AI is shifting myopia care from risk prediction to clinical decision support.
Multimodal models improve prediction of myopia onset and progression.
AI enables individualized response prediction across major myopia treatments.
Clinical translation is limited by heterogeneity, opacity, cost, and bias.
Patient-centered AI may support lifelong precision management of myopia.