A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book’s 14 chapters feature ...

AI agents can't be secured with legacy identity models. To prepare for agentic AI, enterprises must adopt zero trust identity ...

The research proposes a new cognitive architecture that harnesses large language models to simulate more human-like decision-making. Unlike traditional agents, these LLM-powered agents use a layered ...

Agent Payment Protocol, a new open source standard from Google and 60 other payment players, aims to make transactions made ...

Financial crime compliance has become one of the most expensive operational burdens in global finance. Annual spending now ...

Large language models are set to transform financial operations by automating complex tasks and portfolio management, but ...

Cool demos aren’t enough — your team needs ML chops and context skills to actually get AI agents into production.

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

In August 2025, Guangdong Jinfu Technology Co., Ltd. applied for a patent titled "A Method and System for Training Q&A Intelligent Agent Models Based on Data Annotation Collaboration." This patent ...

More companies are moving to integrate custom AI agents into business operations. Here are eight essential capabilities to ...