This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

But researchers recently discovered a major dilemma when it comes to understanding the carbon cycle. A new paper released by ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

After a multi-decade-year mission to understand the nature of the universe, a telescope perched in the mountain plateaus of northern Chile said goodbye in 2022. Now, its final data release is ...

Astronomers have been confounded by recent evidence that the universe expanded at different rates throughout its life. New findings risk turning the tension into a crisis, scientists say. When you ...

The 15th Implications of LHCb Measurements and Future Prospects workshop gathered flavour-physics researchers at CERN from 4 ...