Scientists are now using evolutionary biology to boost cooperation in AI. A recent study shows artificial agents learn to work together better by sharing rewards, much like how animals help relatives.

Disturbance exists everywhere in most real networks and systems, and in most cases, has a negative effect on system performance. Disturbance can be modeled from environmental interference, measurement ...

Large language models like ChatGPT play an ever-evolving role in the modern business landscape. Your curiosity may have led you to engage two AI models in conversation before, but have you considered ...

Existing agents are good at narrow tasks but slow down on complex projects, so the next step is to run multiple agents in parallel, but figuring out how to coordinate them is difficult. Initially, ...