The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Models from United States of America in 2016

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
2 filters active, showing 32 of 1,072 recordsClear all

32

Models

18 organisations

39%

Open weights

7 open, 11 closed

3

Frontier

By Epoch's flag

83M

Largest traceable

ResNeXt-101 (64×4d)

2016

Span

11 with a traceable size

Releases

by month
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Organisation

Country

Domain

Records

32
Models from United States of America in 2016, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
3DMM-CNNUniversity of Southern California2016-1245MOpen
GAN-AdvancerOpenAI2016-12—Closed
HR-ResNet101Carnegie Mellon University (CMU)2016-1245MOpen
PointNetStanford University2016-12—Not recorded
YOLOv2University of Washington2016-1251M *Open
BIDAFUniversity of Washington2016-113MOpen
DTN (Domain Transfer Network)Facebook AI Research2016-11—Closed
Image-to-image cGANUniversity of California (UC) Berkeley2016-11—Not recorded
NAS with base 8 and shared embeddingsGoogle Brain2016-1154MClosed
NASv3 (CIFAR-10)Google Brain2016-1137M *Not recorded
ResNeXt-101 (64×4d)University of California San Diego2016-1183MOpen
ResNeXt-50University of California San Diego2016-1125M *Open
VD-LSTM+REAL LargeSalesforce Research2016-1151MClosed
GAWWNUniversity of Michigan2016-10—Closed
XceptionGoogle2016-1023MNot recorded
GNMTGoogle2016-09278M *Closed
LF-MMIJohns Hopkins University2016-0917MClosed
MS-ensemble-speech-recognitionMicrosoft2016-093B *Closed
Pointer Sentinel-LSTM (medium)MetaMind Inc2016-0921MClosed
ResNet-1001Microsoft2016-0910M *Not recorded
WaveNetGoogle DeepMind2016-09—Not recorded
Youtube recommendation modelGoogle2016-09—Not recorded
Character-enriched word2vecFacebook AI Research2016-07—Not recorded
PixelCNNGoogle DeepMind2016-06—Not recorded
LRR-4XUC Irvine2016-05138M *Open
Dueling DQNGoogle DeepMind2016-042MClosed
Double DQNGoogle DeepMind2016-032MClosed
Named Entity Recognition modelCarnegie Mellon University (CMU)2016-03—Not recorded
A3C FF hsGoogle2016-02—Not recorded
Inception-ResNet-V2Google2016-0256M *Not recorded
Inceptionv4Google2016-0243M *Not recorded
SqueezeNetDeepScale2016-021M *Not recorded

An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.

Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.

Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.

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