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> (2017) The future of hardware is AI
VAL
Дата 2.04.2019 09:03
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(2017) The future of hardware is AI
Источник: https://phys.org/news/2017-12-future-hardware-ai.html

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AI workloads are different from the calculations most of our current computers are built to perform. AI implies prediction, inference, intuition. But the most creative machine learning algorithms are hamstrung by machines that can't harness their power. Hence, if we're to make great strides in AI, our hardware must change, too. Starting with GPUs, and then evolving to analog devices, and then fault-tolerant quantum computers.


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Beyond GPUs

We at IBM Research believe that this transition from GPUs will happen in three stages. First, we'll utilize GPUs and build new accelerators with conventional CMOS in the near term to continue; second, we'll look for ways to exploit low precision and analog devices to further lower power and improve performance; and then as we enter the quantum computing era, it will potentially offer entirely new approaches.


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VAL
Дата 29.01.2020 11:47
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