Daniel Miranda

Title: The Innovative Contributions of Daniel Miranda

Introduction

Daniel Miranda is a prominent inventor based in San Jose, CA, known for his significant contributions to the field of digital video processing. With a total of 7 patents to his name, he has made remarkable strides in utilizing machine-learning models to enhance video inference systems.

Latest Patents

Among his latest patents, one notable invention is the "Efficiently inferring digital videos utilizing machine-learning models." This patent describes a video inference system that employs machine-learning models to efficiently process digital videos through improved architectures. The system enhances digital video processing by optimizing the performance of both central processing units (CPUs) and graphics processing units (GPUs). It introduces a first video inference architecture that minimizes the computing resources required for video inference by analyzing multiple digital videos using sets of CPU/GPU containers and parallel pipeline processing. Additionally, a second architecture allows multiple CPUs to preprocess several digital videos in parallel while a GPU efficiently infers each video in a continuous and sequential manner.

Career Highlights

Daniel has worked with notable companies such as Adobe, Inc. and eBay, Incorporated. His experience in these organizations has contributed to his expertise in video processing technologies and machine learning applications.

Collaborations

Some of his coworkers include Zhe Lin and Midhun Harikumar, who have collaborated with him on various projects, further enhancing the innovative environment in which he works.

Conclusion

Daniel Miranda's work in the realm of digital video processing and machine learning has established him as a key figure in innovation. His patents reflect a commitment to improving technology and efficiency in video inference systems.