ETH Zurich's Optmax Moves AI Attention Math From Silicon to Light

A research team proposes using thin-film lithium niobate modulators as analog replacements for Softmax and Sigmoid inside transformer attention.

$ETH Zurich's Optmax Moves AI Attention Math From Silicon to Light$

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AlphaSignal

Published

Oct 28, 2026, 6:01 PM

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AlphaSignal Newsroom

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1 min read

A research team proposes using thin-film lithium niobate modulators as analog replacements for Softmax and Sigmoid inside transformer attention.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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