A research team led by Kyushu University has developed a new fabrication method for energy-efficient magnetic random-access memory (MRAM) using a new material called thulium iron garnet (TmIG) that ...
DeepSeek's AI memory compression mimics human forgetting to save computing power. The open system achieves 10x compression ...
The defining feature of DeepSeek V4.1 is its ability to reduce memory usage to just 890 bytes per token, representing a 437-fold improvement over earlier iterations. This breakthrough is achieved ...
Google AI has introduced a major breakthrough with TurboQuant, a system that reduces KV cache memory usage by up to 6x while improving chatbot efficiency during real-time conversations. This allows AI ...