This is where Process Optimization with Simulation emerges as a critical tool, offering a powerful way to model, analyze, and ...

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 ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

The penetration testing specialist is expanding its presence in the Asia-Pacific region and deploying new AI-driven ...

Benz AG, AkzoNobel, and other industry leaders recognized for creating a lighter, more sustainable automotive future ...

Irregular secured $80 million in funding to turn its research into scalable security tools for businesses adopting AI. With ...

Steam constantly has new games being added, and many developers choose to make their games free-to-play or offer them for ...

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 ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

AI Agents have evolved from simple generators into creative partners capable of understanding intentions, iterating solutions, and managing complex projects. Compared to traditional creative tools, ...

Think twice about eliminating those pesky ants at your next family picnic. Their behavior may hold the key to reinventing how ...