Google Research

{{AI-generated|date=October 2025}} {{Infobox organization | name = Google Research | logo = Google "G" Logo.svg | logo_size = 100px | type = Division | services = Computer science, Artificial intelligence | founded = {{Start date|2000}} | founder = Google | location = Mountain View, California, United States | parent_organization = Alphabet Inc. | website = [https://research.google/ research.google] }}

'''Google Research''' (also known as '''Research at Google''') is the research division of Google, a subsidiary of Alphabet Inc.. According to its official website, Google Research publishes findings, releases open-source software, and applies research results within Google products and services as well as within the wider scientific community.<ref name="researchsite">{{cite web |title=Research at Google |url=https://research.google/ |publisher=Google Research |access-date=10 October 2025}}</ref>

== Notable contributions ==

* The 2017 landmark paper ''Attention Is All You Need'', which introduced the Transformer architecture, which has subsequently been used to build modern large language models.<ref>{{Cite web |last1=Maxwell |first1=Hugh |last2=Langley |first2=Thomas |title=Google's top AI researchers, including all the authors behind a landmark paper, have left for competitors. Here's where they are now. |url=https://www.businessinsider.com/google-ai-teams-brain-drain-researchers-leave-2023-3 |access-date=2025-10-13 |website=Business Insider |language=en-US}}</ref> * Advances in neural machine translation powering Google Translate.<ref name=GNMTGoogleResearch>"Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation", Google Research, 2016. Retrieved from https://research.google/pubs/googles-neural-machine-translation-system-bridging-the-gap-between-human-and-machine-translation/</ref> * Time series forecasting.<ref>{{cite web |title=google-research/timesfm |url=https://github.com/google-research/timesfm |website=GitHub |publisher=GitHub, Inc. |access-date=14 October 2025}}</ref> * Development of scalable learning systems and infrastructure for large-model training.<ref name=KurianScalableInfra>Kurian G, Sardashti S, Sims R, Berger F, Holt G, Li Y, Willcock J, Wang K, Quiroz H, Salem A, Grady J. (2025). "Scalable Machine Learning Training Infrastructure for Online Ads Recommendation and Auction Scoring Modeling at Google". arXiv. Retrieved from https://arxiv.org/abs/2501.10546</ref>{{Self-published inline|date=October 2025}} * Flood forecasting.<ref>{{cite web |title=Flood Forecasting |url=https://sites.research.google/gr/floodforecasting/ |website=Google Research |publisher=Google LLC |access-date=14 October 2025}}</ref> * Research into computational discovery via ''Google Accelerated Science'' including demonstrating the first below-threshold quantum calculations.<ref>{{Cite journal |last=Castelvecchi |first=Davide |date=2024-12-09 |title='A truly remarkable breakthrough': Google's new quantum chip achieves accuracy milestone |url=https://www.nature.com/articles/d41586-024-04028-3 |journal=Nature |language=en |volume=636 |issue=8043 |pages=527–528 |doi=10.1038/d41586-024-04028-3 |pmid=39653720 |bibcode=2024Natur.636..527C |issn=1476-4687|url-access=subscription }}</ref>

== See also == * Google AI * Google Brain * Google DeepMind

== References == {{reflist|2}}

== External links == * [https://research.google/ Official website] * [https://ai.google/ Google AI portal]

Category:Google Category:Artificial intelligence Category:Machine learning Category:Quantum computing Category:Companies established in 2000 Category:Research organizations