Part 1 of this min-series established why CXL Type 3 memory expanders matter for capacity-bound workloads and where expander ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

New chip performs data storage and computation in a single memory array, enabling real-time modelling of complex brain ...

Chinese researchers have developed a memory chip that can model complex brain structures in ...

DRAM pricing growth is decelerating fast, from nearly 100% sequential growth in Q1 2026 down to the mid-to-low teens in Q3.

In Part 1, we established that AI memory is not evidence of a learning mind — it is a retrieval architecture whose costs fall ...

As inference workloads evolve from discrete question-and-answer exchanges into persistent, multi-step agentic systems, GPU ...

Chinese researchers have developed a specialised computer chip designed for brain science research that can process complex brain models significantly faster than Nvidia's A100 GPU in specific ...

Chinese researchers have announced a major breakthrough in brain-inspired computing, unveiling a specialised chip capable of modelling complex brain structures up to 478 times faster than Nvidia’s ...

New ferroelectric memory breakthroughs improve energy efficiency and storage density, offering promising pathways for next-generation AI and data-intensive ...

A reconfigurable device breaks the usual link between heat absorption and emission, enabling direction-controlled thermal ...

Memory stocks are surging as AI fuels HBM/DRAM/NAND shortages and pricing power at Micron, Samsung, SK Hynix. Click for more.