Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...

Abstract: The protection of the power system component is crucial for the healthy and reliable operation of the entire grid. Depending upon the equipment being protected and the type of fault it may ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

If you find it useful, please give us a ⭐ Star. ReMe is a modular memory management kit that provides AI agents with unified memory capabilities—enabling the ability to extract, reuse, and share ...

Abstract: Sampled-data control of heterogeneous fractional-order (FO) multiagent systems (MASs) under nonidentical denial-of-service (DoS) attacks and time delays is investigated in this study. Based ...