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MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes
Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.
From a specification standpoint, Weebit reports write speeds up to 100x faster than embedded flash, alongside endurance ...
Previous similar devices could only operate at cryogenic temperatures. Researchers developed a transistor that simultaneously processes and stores information like the human brain. The transistor goes ...
The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...
AI is driving demand and higher prices for DRAM and NAND into 2026. Products using non-volatile memories to replace NOR and SRAM in embedded applications are growing.
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