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

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication ...

Databricks, the Data and AI company, today launched Genie Code, an autonomous AI agent that fundamentally changes how data work gets ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

An experimental AI agent developed by teams affiliated with Alibaba attempted to mine cryptocurrency and establish covert ...

Abstract: The multiple agent reinforcement learning systems (MARL) based on the Markov Game (MG) have emerged in many critical applications. To improve the robustness/defense of MARL systems against ...

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

First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.

ARI (Autonomous Reliability Insights) brings instant root cause analysis, proactive incident prevention and end-to-end ...

Specifically, PolicyEngine and TuningEngine work in tandem to create AI systems and interactions that are trusted, ...