Researchers Propose Thermodynamic Computing Architecture That Could Dramatically Reduce AI Energy Use

Insider Brief As artificial intelligence drives an unprecedented buildout of power-hungry data centers, researchers are exploring computing architectures that move beyond the graphics processing units (GPUs). One new proposal to address this is a probabilistic computer built from conventional transistors that researchers say could perform certain AI tasks with a fraction of the energy required […]

Source: The Quantum Insider — read the full report at the original publisher.

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