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Breakthrough CRAM technology ditches von Neumann model, makes AI 1,000x more energy efficient

The researchers have designed a new "computational random-access memory" (CRAM) prototype chip that could reduce energy needs for AI applications by a mind-boggling 1,000 times or more...

But researchers from the University of Minnesota might have a wildly innovative solution to curb AI's growing thirst for power with a radical new device that promises vastly superior energy efficiency. Traditional computing relies on the decades-old von Neumann architecture of separate processor and memory units, which requires constantly moving data back and forth in an energy-intensive process. The researchers stated in a press release that the foundations of this breakthrough were over 20 years in the making, going back to pioneering work by engineering professor Jian-Ping Wang on using MTJ nanodevices for computing.

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