Tokyo, Japan

Hideki Kashioka

This inventor holds 1 USPTO granted patent and 3 published patent applications and 1 EPO patent. Top assignee: National Institute of Information and Communications Technology, Incorporated. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hideki Kashioka. Retrieved from https://idiyas.com/inventor/hideki-kashioka

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2017

Loading Chart...
Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations of Hideki Kashioka

Introduction

Hideki Kashioka is a prominent inventor based in Tokyo, Japan. He is known for his contributions to the field of deep neural networks and artificial intelligence. His innovative work has led to significant advancements in machine learning techniques.

Latest Patents

Kashioka holds a patent for a "Deep neural network learning method and apparatus, and category-independent sub-network learning apparatus." This patent describes a DNN learning method that reduces learning time using data from multiple categories. The method involves training a language-independent sub-network alongside language-dependent sub-networks using training data in both Japanese and English. The process includes alternating training steps until all data is processed, ultimately resulting in a category-independent sub-network stored in a storage medium.

Career Highlights

Kashioka is affiliated with the National Institute of Information and Communications Technology, Incorporated. His work at this institution has allowed him to explore and develop advanced technologies in the realm of information and communications.

Collaborations

Kashioka has collaborated with notable colleagues such as Shigeki Matsuda and Xugang Lu. Their combined expertise has contributed to the success of various projects and innovations in their field.

Conclusion

Hideki Kashioka's work in deep neural networks exemplifies the innovative spirit of modern technology. His contributions continue to influence advancements in machine learning and artificial intelligence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…