Abstract: The design space for edge AI hardware supporting large language model (LLM) inference and continual learning is underexplored. We present 3D-CIMlet, a thermal-aware modeling and co-design ...

In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system to persist user preferences, ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Abstract: The development of Large Language Models (LLMs) enables LLM-based GUI testing to interact with graphical user interfaces by understanding GUI screenshots and generating actions, which are ...

AriadneMem is a structured memory system that addresses disconnected evidence and state update challenges in long-horizon LLM agents through a decoupled two-phase pipeline.