Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...

Researchers from BIFOLD and Google DeepMind have created MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without embedding physical laws like energy ...

3D illustration of high voltage transformer on white background. Even now, at the beginning of 2026, too many people have a sort of distorted view of how attention mechanisms work in analyzing text.

There is a growing realisation that while AI models have been scaling, they no longer deliver transformative leaps.