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cs.LG2026
Fault-tolerant foundation models
Trevor McCourt, Ila R. Fiete, Isaac L. Chuang
Emerging computer hardware often trades reliability for energy efficiency; here we show that large-language models (LLMs) can be trained to tolerate this unreliability, and that ra…
cs.LG2025
An efficient probabilistic hardware architecture for diffusion-like models
Andraž Jelinčič, Owen Lockwood, Akhil Garlapati +4
The proliferation of probabilistic AI has prompted proposals for specialized stochastic computers. Despite promising efficiency gains, these proposals have failed to gain traction…