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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...
Non-volatile memory (NVM) systems and architectures have emerged as pivotal components in modern computing, offering the combined benefits of data persistence and enhanced energy efficiency. With ...
Modern artificial intelligence systems operate with a fundamental paradox: they demonstrate remarkable reasoning capabilities while simultaneously suffering from systematic amnesia. Large language ...
Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...
Researchers at Mem0 have introduced two new memory architectures designed to enable Large Language Models (LLMs) to maintain coherent and consistent conversations over extended periods. Their ...
The GME product offering includes software, firmware and RTL and utilizes a common API and common RTL interface to facilitate platform portability. MoSys announced that its Graph Memory Engine (GME) ...
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