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HD-CAM features a modified nor-type associative memory cell that leverages the discharge speed of the matchline (ML) to directly measure the HD between the stored and the query patterns. This novel ...

Google’s Titans ditches Transformer and RNN architectures LLMs typically use the RAG system to replicate memory functions Titans AI is said to memorise and forget context during test time ...

This dual-memory approach allows Titans to overcome one of the primary limitations of current Transformer models: the fixed-length “context window,” the maximum amount of text or information ...

One of the most promising approaches is in-memory computing, which requires the use of photonic memories. Passing light signals through these memories makes it possible to perform operations nearly ...

I think that is quite the spirit to hold on to for this year. ChangXin Memory Technologies (CXMT), a Hefei-based supplier of dynamic random access memory (DRAM), is the major driver behind China's ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

A research team identified the brain's food-specific memory system and its direct role in overeating and diet-induced obesity. They found a specific population of neurons in the mouse brain that ...

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Image caption, Parent Joanne Skinner says Balnamore "needs a school" Parents of pupils attending the school said they were "dumbfounded" at the decision. Balnamore Primary Support Group said ...