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Extropic Develops Probabilistic Computing Chip for AI Efficiency

Extropic, a startup led by Guillaume Verdon and Trevor McCourt, is developing a novel silicon-based chip that uses thermodynamic fluctuations to perform probabilistic computations. Designed for energy-intensive tasks like Monte Carlo simulations, the chip claims to be 1,000 to 10,000 times more energy-efficient than current hardware. With ambitions to disrupt AI datacenter power consumption, Extropic's approach could mark a major shift in computing technology.

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