Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...
Abstract: With the development of industrial intelligence, deep learning-based soft sensors are widely used in complex industrial systems to estimate key quality variables in real-time, with long ...
In this tutorial, we build an EverMem-style persistent agent OS. We combine short-term conversational context (STM) with long-term vector memory using FAISS so the agent can recall relevant past ...
Reasoning over very long inputs remains difficult for large language models (LLMs). Common workarounds either shrink the input via retrieval (risking missed evidence), enlarge the context window ...
Summary: Forming a long-term memory is an energy-intensive process that requires neurons to produce a massive amount of fuel (ATP). A new study has discovered a way to “overclock” this energy ...