Issued Patents All Time
Showing 25 most recent of 50 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12412117 | Simulation modeling exchange | Sahika Genc, Sunil Mallya Kasaragod, Bharathan Balaji, Saurabh Gupta | 2025-09-09 |
| 12229642 | Efficient duplicate detection for machine learning data sets | Aleksandr Mikhaylovich Ingerman | 2025-02-18 |
| 12118456 | Integrated machine learning training | Sahika Genc, Bharathan Balaji, Urvashi Chowdhary, Saurabh Gupta, Vineet Khare +1 more | 2024-10-15 |
| 12112259 | Dynamic environment configurations for machine learning services | — | 2024-10-08 |
| 12073298 | Machine learning service | Nicolle M. Correa, Aleksandr Mikhaylovich Ingerman, Sriram Krishnan, Jin Li, Sudhakar Rao Puvvadi +1 more | 2024-08-27 |
| 12061963 | Automated machine learning pipeline exploration and deployment | Tanya Bansal, Piali Das, Fan Li, Zohar Karnin, Philip Gautier +6 more | 2024-08-13 |
| 12052285 | Isolation techniques at execution platforms used for sensitive data analysis | Gowda Dayananda Anjaneyapura Range, Srinivasan Sankaran, Lakshmi Naarayanan Ramakrishnan, Stefano Stefani | 2024-07-30 |
| 11960935 | Fault-tolerant accelerator based inference service | Sudipta Sengupta, Poorna Chand Srinivas Perumalla, Dominic Rajeev Divakaruni, Nafea Bshara, Bratin Saha +3 more | 2024-04-16 |
| 11948022 | Using a client to manage remote machine learning jobs | Thomas Faulhaber | 2024-04-02 |
| 11861490 | Decoupled machine learning training | Saurabh Gupta, Bharathan Balaji, Sahika Genc, Vineet Khare, Ragav Venkatesan +1 more | 2024-01-02 |
| 11853390 | Virtual/augmented reality data evaluation | Bradley Scott Bowman, Maksim Lapin | 2023-12-26 |
| 11836577 | Reinforcement learning model training through simulation | Sunil Mallya Kasaragod, Sahika Genc, Bharathan Balaji, Eric Sun, Marthinus Coenraad De Clercq Wentzel | 2023-12-05 |
| 11748610 | Building sequence to sequence (S2S) models using previously generated S2S models with similar use cases | Orchid Majumder, Vineet Khare, Saurabh Gupta | 2023-09-05 |
| 11727314 | Automated machine learning pipeline exploration and deployment | Tanya Bansal, Piali Das, Fan Li, Zohar Karnin, Philip Gautier +6 more | 2023-08-15 |
| 11715033 | Dynamically scaled training fleets for machine learning | Rakesh Madhavan Nambiar, Avinash Aghoram Ravichandran | 2023-08-01 |
| 11599821 | Attached accelerator based inference service | Sudipta Sengupta, Poorna Chand Srinivas Perumalla, Dominic Rajeev Divakaruni, Nafea Bshara, Bratin Saha +3 more | 2023-03-07 |
| 11544623 | Consistent filtering of machine learning data | Jin Li, Tianming Zheng, Donghui Zhuo | 2023-01-03 |
| 11494621 | Attached accelerator selection and placement | Sudipta Sengupta, Poorna Chand Srinivas Perumalla, Dominic Rajeev Divakaruni, Nafea Bshara, Bratin Saha +3 more | 2022-11-08 |
| 11467835 | Framework integration for instance-attachable accelerator | Sudipta Sengupta, Poorna Chand Srinivas Perumalla, Jalaja C. Kurubarahalli, Samuel Oshin, Cory Pruce +17 more | 2022-10-11 |
| 11457078 | Machine learning based content delivery | Blair Livingstone Hotchkies, Bradley Scott Bowman, Paul Christopher Cerda, Min Chong, Anthony T. Chor +3 more | 2022-09-27 |
| 11429762 | Simulation orchestration for training reinforcement learning models | Sunil Mallya Kasaragod, Sahika Gene, Bharathan Balaji, Eric Sun, Marthinus Coenraad De Clercq Wentzel +2 more | 2022-08-30 |
| 11422863 | Attached accelerator scaling | Sudipta Sengupta, Poorna Chand Srinivas Perumalla, Dominic Rajeev Divakaruni, Nafea Bshara, Bratin Saha +3 more | 2022-08-23 |
| 11397887 | Dynamic tuning of training parameters for machine learning algorithms | Tuhin Sarkar, Animashree Anandkumar | 2022-07-26 |
| 11386351 | Machine learning service | Nicolle M. Correa, Aleksandr Mikhaylovich Ingerman, Sriram Krishnan, Jin Li, Sudhakar Rao Puvvadi +1 more | 2022-07-12 |
| 11379755 | Feature processing tradeoff management | Nicolle M. Correa, Charles Eric Dannaker | 2022-07-05 |