CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Researchers have uncovered nearly 150 hidden DNA “switches” inside brain support cells that control the activity of genes ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent challenges. Agricultural data are often siloed across platforms, collected under ...

From the Ozempic story to books on power, money and the new world order — plus fiction by Julian Barnes, Amitav Ghosh and ...

Historic climate change influenced northeast India primates’ evolution, distribution, and decline, stressing conservation urgency.

Writers, activists, and scholars reflect on the most urgent books of 2025—from Palestine and caste to climate, queerness, and resistance. Read their picks.

A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.