The Have Remy Test Management Project saw USAF Test Pilot School students directly involved in an AI agent’s development, simulation and live trial with ...
Abstract: As vessel density in inland waterways increases, dynamic ship trajectory simulation technology plays a crucial role in capturing traffic flow characteristics, which are essential for ...
Simulation environments featuring data-driven traffic agents have become essential tools for training and assessing autonomous driving (AD) systems, offering a safer and more cost-effective ...
This is the up-to-date official implementation of KVCOMM in the paper, KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems. KVCOMM is a novel adaptive ...
Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
A powerful Python framework for building intelligent agents using Google's Gemini API. This framework simplifies the creation of agents that can break down complex tasks into sequential steps using ...
Many authors have long been engaged in the automatic generation of test items or stimuli, recognizing their potential for improving test efficiency, scalability, and psychometric quality. Pioneering ...