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For the Inventor, By the Inventor

Daly City, CA, United States of America

Jannes G Dolfing

USPTO Granted Patents = 14 

Average Co-Inventor Count = 3.9

ph-index = 7

Forward Citations = 127(Granted Patents)


Location History:

  • Daly City, CA (US) (2016 - 2021)
  • Washington, DC (US) (2023)

Company Filing History:

goldMedal14 out of 40,816 
 
Apple Inc.
 patents

Years Active: 2016-2023

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14 patents (USPTO):
1. 11816326 - Managing real-time handwriting recognition (2023-11-14),
2. 11182069 - Managing real-time handwriting recognition (2021-11-23),
3. 11016658 - Managing real-time handwriting recognition (2021-05-25),
4. 11010550 - Unified language modeling framework for word prediction, auto-completion and auto-correction (2021-05-18),
5. 10657328 - Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling (2020-05-19),
6. 10579257 - Managing real-time handwriting recognition (2020-03-03),
7. 10521466 - Data driven natural language event detection and classification (2019-12-31),
8. 10474753 - Language identification using recurrent neural networks (2019-11-12),
9. 10366158 - Efficient word encoding for recurrent neural network language models (2019-07-30),
10. 10346035 - Managing real-time handwriting recognition (2019-07-09),
11. 10282416 - Unified framework for text conversion and prediction (2019-05-07),
12. 9898187 - Managing real-time handwriting recognition (2018-02-20),
13. 9760559 - Predictive text input (2017-09-12),
14. 9465985 - Managing real-time handwriting recognition (2016-10-11),

Title: Jannes G Dolfing: Innovator in Handwriting Recognition Technology

Introduction

Jannes G Dolfing is a prominent inventor based in Daly City, CA, known for his significant contributions to handwriting recognition technology. With a total of 14 patents to his name, Dolfing has made remarkable advancements in the field, particularly in real-time handwriting input functionality.

Latest Patents

Dolfing's latest patents focus on managing real-time handwriting recognition. These patents describe methods, systems, and computer-readable media related to providing handwriting input functionality on user devices. His handwriting recognition module is trained to recognize multiple non-overlapping scripts and can identify tens of thousands of characters using a single model. The handwriting input module offers real-time, stroke-order and stroke-direction independent handwriting recognition, particularly for multi-character and sentence-level Chinese handwriting. User interfaces for this handwriting input functionality are also disclosed in his patents.

Career Highlights

Dolfing has established a successful career at Apple Inc., where he continues to innovate and develop cutting-edge technologies. His work has significantly impacted the way users interact with devices through handwriting recognition.

Collaborations

Throughout his career, Dolfing has collaborated with notable colleagues, including Jerome Rene Bellegarda and Mei-Qun Xia. These collaborations have further enhanced the development of advanced handwriting recognition technologies.

Conclusion

Jannes G Dolfing is a key figure in the field of handwriting recognition, with a strong portfolio of patents that showcase his innovative spirit. His contributions continue to shape the future of user interaction with technology.

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