Average Co-Inventor Count = 5.63
ph-index = 4
The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.
Company Filing History:
1. Intel Corporation (13 from 54,320 patents)
2. Eli Lilly and Company (3 from 4,424 patents)
3. Chinese Academy of Sciences (2 from 3,026 patents)
4. Samsung Electronics Co., Ltd. (1 from 129,810 patents)
5. Ricoh Company, Ltd. (1 from 28,438 patents)
6. Boe Technology Group Co., Ltd. (1 from 18,028 patents)
7. Thomson Licensing (1 from 3,470 patents)
8. Baoshan Iron & Steel Co., Ltd. (1 from 202 patents)
9. Sinocelltech Ltd. (1 from 3 patents)
24 patents:
1. 12217163 - Methods and systems for budgeted and simplified training of deep neural networks
2. 12139514 - Chimeric papilloma virus L1 protein
3. 11803739 - Methods and systems for budgeted and simplified training of deep neural networks
4. 11790223 - Methods and systems for boosting deep neural networks for deep learning
5. 11635943 - Systems and methods for generating gaussian random numbers with hardware acceleration
6. 11551335 - Methods and systems using camera devices for deep channel and convolutional neural network images and formats
7. 11537851 - Methods and systems using improved training and learning for deep neural networks
8. 11341368 - Methods and systems for advanced and augmented training of deep neural networks using synthetic data and innovative generative networks
9. 11340221 - Use of molecular marker Dkk-3 associated with muscle atrophy
10. 11263490 - Methods and systems for budgeted and simplified training of deep neural networks
11. 11176632 - Advanced artificial intelligence agent for modeling physical interactions
12. 11157727 - Key-point guided human attribute recognition using statistic correlation models
13. 11151361 - Dynamic emotion recognition in unconstrained scenarios
14. 11106896 - Methods and apparatus for multi-task recognition using neural networks
15. 11107189 - Methods and systems using improved convolutional neural networks for image processing