ETH Zurich Team Proposes Light-Based Transformer Attention Math
AI · First reported 28 Oct, 18:01 · Updated 18:36
A research team proposes thin-film lithium niobate modulators as analog replacements for Softmax and Sigmoid inside transformer attention.
- The article describes a proposal from a research team at ETH Zurich.
- The proposed components are thin-film lithium niobate modulators, used as analog replacements for Softmax and Sigmoid.
- The proposal concerns those functions inside transformer attention.
Summary written by Lux AI from 1 articlesUnverified
Key facts
- Institution
- ETH Zurich
- Proposed technology
- Thin-film lithium niobate modulators
- Functions targeted
- Softmax and Sigmoid inside transformer attention
- Approach
- Analog replacements
Source spectrum
Far left
Left
Lean left
Centre
Lean right
Right
Far right
Unrated
Left 0 · Centre 0 · Right 0 of 0 rated sources · +1 unrated
All coverage
Coverage over time
LeftCentreRight
Articles per hour since first reported, by side.
Ownership
- Unknown 100% (1)
Share of the 1 sources by owner type.