Expired65% confidenceFactTime unknown
In 2017, Google published the paper 'Outrageously Large Neural Networks,' which propelled the MoE architecture into prominence in the field of deep learning.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
Unverified神经网络架构搜索(NAS)自2017年由谷歌提出以来已成为深度学习研究的重要分支77% similarVerifiedThe revival of modern MoE can be traced back to the 2017 paper published by the Google Brain team, 'Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer,' which was the first to integrate sparse MoE layers into large sequence models.75% similarUnverifiedGoogle Brain于2017年在《Outrageously Large Neural Networks》论文中将MoE规模化应用于Transformer框架74% similarVerifiedGoogle systematized the Mixture of Experts architecture design in its 2017 Sparsely-Gated MoE paper.73% similarUnverifiedIn 2011, Andrew Ng created the Google Brain project at Google, which used 16,000 CPU cores to build a deep neural network that successfully achieved unsupervised learning to recognize images of cats71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/61128API
curl https://kongchang.com/api/v1/knowledge/claims/61128MCP
get_claim(id=61128)