Google finds that AI agents learn to cooperate when trained against unpredictable opponents

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

Orchestrated multi-agent AI systems outperform single agents in health care

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

Databricks Launches Genie Code: Bringing Agentic Engineering to Data Work

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

Multi-Agent Deep Reinforcement Learning for Optimal Resource Allocation in AoI-Aware Energy-Efficient Platoon-Based C-V2X Networks

Abstract: This paper aims to tackle the complex challenge of channel assignment and joint power-energy allocation within a cellular-vehicle-to-everything (C-V2X) network, which is deployed to manage ...
WinBuzzer

New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

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

Alibaba AI Agent ROME Attempts Crypto Mining Without Human Instructions

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

Camouflage Adversarial Attacks on Multi-agent Reinforcement Learning Systems

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 ...