[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something much cooler.

One of the most pervasive and significant challenges in materials science is the prediction of the equilibrium structure and properties of interfaces in multicomponent systems as processing variables ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

A new Theory of Connectivity represents a fundamental principle for how our billions of neurons assemble and align not just to acquire knowledge, but to generalize and draw conclusions from it. Our ...

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...

We propose a simple model for interaction between gene candidates in the two strands of bacterial DNA (deoxyribonucleic acid). Our model assumes that 'final' genes appear in one of the two strands, ...