This inventor holds 4 USPTO granted patents and 1 EPO patent. Top assignees: Synopsys, Inc., Nxp B.v.. Active years: 2013-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Deurne, NL (2013)
- Deume, NL (2014)
Company Filing History:
Years Active: 2013-2026
Title: Innovations of Johannes Boonstra
Introduction
Johannes Boonstra is a notable inventor based in Deurne, Netherlands. He has made significant contributions to the fields of artificial intelligence and machine learning, holding a total of 4 patents. His work focuses on enhancing the efficiency and performance of AI systems.
Latest Patents
One of his latest patents is titled "Efficient look-up table based functions for artificial intelligence (AI) accelerator." This invention presents a method for approximating an activation function, which includes receiving an input value, determining its range, and performing quadratic interpolation to approximate the output. Another significant patent is the "Artificial intelligence (AI)/machine learning (ML) tensor processor." This system is designed to execute tensor operations efficiently, utilizing a programmable tensor processor and memory to optimize the processing of input tensor operands.
Career Highlights
Throughout his career, Johannes Boonstra has worked with prominent companies such as Synopsys, Inc. and NXP B.V. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in AI and machine learning.
Collaborations
Johannes has collaborated with talented individuals in his field, including Sundaravaradan Rangarajan and Marc Jeroen Geuzebroek. These partnerships have contributed to the advancement of his research and inventions.
Conclusion
Johannes Boonstra's contributions to artificial intelligence and machine learning through his patents and collaborations highlight his role as a leading inventor in the industry. His innovative approaches continue to shape the future of technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

