Company Filing History:
Years Active: 2024-2025
Title: Innovations of Daniel Dun-ning Woo Johnson
Introduction
Daniel Dun-ning Woo Johnson is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of software development through his innovative patents. With a total of 2 patents, Johnson is recognized for his expertise in machine learning and code optimization.
Latest Patents
Johnson's latest patents focus on machine-learned models for generating code snippets with predicted placeholders. These systems and methods are designed to optimize software development by predicting code segment completions. The process involves obtaining an incomplete segment of code and utilizing a machine-learned code prediction model to generate a set of segment completion predictions. An aggregated segment completion prediction is then determined, with certain portions replaced by input fields based on a degree of certainty.
Career Highlights
Currently, Johnson is employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work is instrumental in enhancing software development processes through advanced predictive models.
Collaborations
Some of his notable coworkers include Daniel S Tarlow and Maxim Tabachnyk, who contribute to the collaborative environment at Google Inc.
Conclusion
Daniel Dun-ning Woo Johnson is a prominent figure in the realm of software innovation, with a focus on machine learning and code optimization. His contributions are shaping the future of software development.