As cities evolve toward more complex and multimodal transportation systems, the need for human-centered multi-agent simulation tools has never been more urgent. Yet most existing platforms remain ...

The US contact centre services company's new platform enables enterprises to assess AI agent interactions before deployment ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning ...

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

Abstract: There has been significant recent research on secure control problems that arise from the open and complex real-world industrial environments. This paper focuses on addressing the issue of ...

Meta (META) said on Monday that it will buy Manus—a Singapore-based AI startup specializing in general-purpose AI agents—for more than $2 billion, the Wall Street Journal reported, citing sources ...

Use any model and build agents in pure Python. Full control. Zero magic. LitAI is an LLM router (OpenAI format) and minimal agent framework. Chat with any model (ChatGPT, Anthropic, etc) in one line ...

In this tutorial, we build an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that each ...