New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
ascopubs.org

Evaluating reliability of large language models for patient queries: Concordance with NCCN invasive breast cancer guideline using ChatGPT, DeepSeek, and Gemini.

Impact of real-time artificial intelligence ultrasound system based on breast density in C4 breast lesions.
IEEE

Embodied AI-Enhanced Vehicular Networks: An Integrated Vision Language Models and Reinforcement Learning Method

Abstract: This paper investigates adaptive transmission strategies in embodied AI-enhanced vehicular networks by integrating vision language models (VLMs) for semantic information extraction and deep ...
IEEE

Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks

Abstract: This letter investigates an un-crewed aerial vehicle (UAV) network with integrated sensing and communication (ISAC) systems, where multiple UAVs simultaneously sense the locations of ground ...