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., ...

Facepalm: After consuming virtually the entire GPU market, generative AI and large language models are now putting pressure on DRAM and other mainstream memory products. Consumers are likely to feel ...

Abstract: The Memory stress (Mess) framework provides a unified view of the memory system benchmarking, simulation and application profiling. The Mess benchmark provides a holistic and detailed memory ...

Edge AI—enabling autonomous vehicles, medical sensors, and industrial monitors to learn from real-world data as it arrives—can now adopt learning models on the fly while keeping energy consumption and ...

When Windows crashes, it collects information about the crash during the time that the Crash Screen is displayed. At this point, the OS collects information from running applications, drivers, ...

Anu is a Features author at Android Police. You'll find her writing in-depth pieces about automation tools, productivity apps, and explainers. Before joining AP, she used to write for prominent tech ...

Enfabrica Corp.’s hybrid memory fabric system designed to improve efficiencies in large-scale distributed, memory-bound AI inference workloads is now available. Called EMFASYS, the hardware/software ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and accelerated computing, today announced the ...

Your memory relies on reusing, overlapping and adapting rather than on a fixed number of storage spots. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from leading ...

LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face major limitations in how they handle memory. Most LLMs rely on fixed knowledge stored in their ...