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phase change memory

IBM overcomes von Neumann bottleneck for AI hundreds of time faster using hundreds of times less energy

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IBM Research AI team demonstrated deep neural network (DNN) training with large arrays of analog memory devices at the same accuracy as a Graphical Processing Unit (GPU)-based system. This is a major step on the path to the kind of hardware accelerators necessary for the next AI breakthroughs. Why? Because delivering the Future of AI …

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IBM in memory computing with 1 million phase change memory devices is 200 times faster than regular computing

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“In-memory computing” or “computational memory” is an emerging concept that uses the physical properties of memory devices for both storing and processing information. This is counter to current von Neumann systems and devices, such as standard desktop computers, laptops and even cellphones, which shuttle data back and forth between memory and the computing unit, thus …

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