Issued Patents All Time
Showing 25 most recent of 42 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12088539 | Determining reply content for a reply to an electronic communication | Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach +2 more | 2024-09-10 |
| 12073307 | Predicting likelihoods of conditions being satisfied using neural networks | Ilya Sutskever, Jeffrey Adgate Dean | 2024-08-27 |
| 11960519 | Classifying data objects | Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome +2 more | 2024-04-16 |
| 11954597 | Using embedding functions with a deep network | Kai Chen, Jeffrey Adgate Dean, Gary R. Holt, Julian P. Grady, Sharat Chikkerur +1 more | 2024-04-09 |
| 11935634 | System and method for predicting and summarizing medical events from electronic health records | Alexander Mossin, Alvin Rajkomar, Eyal Oren, James Wilson, James Wexler +16 more | 2024-03-19 |
| 11809824 | Computing numeric representations of words in a high-dimensional space | Tomas Mikolov, Kai Chen, Jeffrey Adgate Dean | 2023-11-07 |
| 11790216 | Predicting likelihoods of conditions being satisfied using recurrent neural networks | Ilya Sutskever, Jeffrey Adgate Dean | 2023-10-17 |
| 11687832 | Training a model using parameter server shards | Kai Chen, Jeffrey Adgate Dean, Samy Bengio, Rajat Monga, Matthieu Devin | 2023-06-27 |
| 11516156 | Determining reply content for a reply to an electronic communication | Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach +2 more | 2022-11-29 |
| 11481631 | Using embedding functions with a deep network | Kai Chen, Jeffrey Adgate Dean, Gary R. Holt, Julian P. Grady, Sharat Chikkerur +1 more | 2022-10-25 |
| 11398299 | System and method for predicting and summarizing medical events from electronic health records | Kai Chen, Patrik Sundberg, Alexander Mossin, Nissan Hajaj, Kurt Litsch +19 more | 2022-07-26 |
| 10922488 | Computing numeric representations of words in a high-dimensional space | Tomas Mikolov, Kai Chen, Jeffrey Adgate Dean | 2021-02-16 |
| 10803380 | Generating vector representations of documents | Andrew M. Dai, Quoc V. Le | 2020-10-13 |
| 10769191 | Classifying data objects | Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome +2 more | 2020-09-08 |
| 10762422 | Wide and deep machine learning models | Tal Shaked, Rohan Anil, Hrishikesh Aradhye, Mustafa Ispir, Glen Anderson +6 more | 2020-09-01 |
| 10733535 | Training a model using parameter server shards | Kai Chen, Jeffrey Adgate Dean, Samy Bengio, Rajat Monga, Matthieu Devin | 2020-08-04 |
| 10728184 | Determining reply content for a reply to an electronic communication | Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach +2 more | 2020-07-28 |
| 10726327 | Predicting likelihoods of conditions being satisfied using recurrent neural networks | Ilya Sutskever, Jeffrey Adgate Dean | 2020-07-28 |
| 10679124 | Using embedding functions with a deep network | Kai Chen, Jeffrey Adgate Dean, Gary R. Holt, Julian P. Grady, Sharat Chikkerur +1 more | 2020-06-09 |
| 10402721 | Identifying predictive health events in temporal sequences using recurrent neural network | Jeffrey Adgate Dean | 2019-09-03 |
| 10241997 | Computing numeric representations of words in a high-dimensional space | Tomas Mikolov, Kai Chen, Jeffrey Adgate Dean | 2019-03-26 |
| 10127475 | Classifying images | Jeffrey Adgate Dean, Samy Bengio, Andrea Frome, Jonathon Shlens | 2018-11-13 |
| 10079785 | Determining reply content for a reply to an electronic communication | Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach +2 more | 2018-09-18 |
| 9852363 | Generating labeled images | Jonathon Shlens, Quoc V. Le, Marc'Aurelio Ranzato | 2017-12-26 |
| 9740680 | Computing numeric representations of words in a high-dimensional space | Tomas Mikolov, Kai Chen, Jeffrey Adgate Dean | 2017-08-22 |