Researchers at Tohoku University have discovered that there are two parallel processes involved in memory formation when a mouse performs a motor learning task. One process occurs during training and ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

Additionally, NAND Flash has become essential for fast data transfer, making memory a key component in AI infrastructure and ...

The Acceleration DIMM (AXDIMM) brings processing to the DRAM module itself, minimizing large data movement between the CPU and DRAM to boost the energy efficiency of AI accelerator systems. With an AI ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Have you ever studied hard for a test the night before, only to fail miserably the next day? Alternatively, you may have felt ill-prepared after studying the night before when, to your astonishment, ...