Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Nvidia’s Nemotron 3 Super AI model delivers faster inference, multi-agent efficiency, and high accuracy, available with ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Researchers have developed a new artificial intelligence approach that exposes critical weaknesses in multi-agent reinforcement learning systems, enabling stronger coordinated attacks with broad ...

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.