In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical models and better understand how individual particles in these systems ...

It is anticipated that within just a few decades, the surging volume of digital data will constitute one of the world's largest energy consumers. Now, researchers at Chalmers University of Technology, ...

The distribution of an arbitrary linear combination of Student-t random variables with odd degrees of freedom is derived. An easy method of expressing this distribution as a mixture of t-distributions ...

Fluctuations in brain activity, also known as neural variability, enable us to be flexible in adjusting our behavior to the current situation. A new study shows that neural variability increases ...