Morning Overview on MSN
MIT’s chip stacking leap could slash energy use for hungry AI chips
Artificial intelligence is colliding with a hard physical limit: the energy it takes to move data on and off chips. Training ...
Live Science on MSN
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.
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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