Sure, here's some additional information on the researchers who developed the Transformer architecture at Google:

Ashish Vaswani: Vaswani is a research scientist at Google Brain and was one of the lead authors of the paper that introduced the Transformer architecture. He has also worked on other NLP-related projects, including sequence-to-sequence learning and neural machine translation.

Noam Shazeer: Shazeer is a senior research scientist at Google Brain and was also one of the lead authors of the Transformer paper. He has worked on a variety of other deep learning projects, including language modeling and unsupervised machine learning.

Niki Parmar: Parmar is a research scientist at Google Brain and was one of the co-authors of the Transformer paper. She has worked on a variety of deep learning projects, including neural machine translation and generative modeling.

Jakob Uszkoreit: Uszkoreit is a senior research scientist at Google and has worked on a variety of NLP-related projects, including machine translation and multilingual language modeling. He was also one of the co-authors of the Transformer paper.

More recently, Google researchers have continued to make significant contributions to the field of deep learning and NLP. For example, in 2020, a team of researchers led by Google's Samy Bengio and Jacob Devlin developed the T5 model, which is a variant of the Transformer architecture that achieved state-of-the-art results on a variety of NLP tasks. Bengio and Devlin are both well-known figures in the field of deep learning and have made significant contributions to the development of various deep learning models and algorithms.
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