Dossenheim, Germany

Anil Goyal

This inventor holds 8 USPTO granted patents. Top assignee: Nec Corporation. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anil Goyal. Retrieved from https://idiyas.com/inventor/anil-goyal-a8dzesx3

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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8 patents (USPTO):Explore Patents

Title: Anil Goyal: Innovator in Machine Learning

Introduction

Anil Goyal is a prominent inventor based in Dossenheim, Germany. He has made significant contributions to the field of machine learning, holding a total of 8 patents. His work focuses on innovative methods that enhance knowledge management in machine learning, particularly in scenarios with limited data.

Latest Patents

One of Anil Goyal's latest patents is titled "Machine learning knowledge management based on lifelong boosting in presence of less data." This method involves receiving a new task along with a learning sample for that task. A distribution of weights is learned over the learning sample using previously learned classifiers from old tasks. Additionally, a set of task-specific classifiers is learned for the new task using a boosting algorithm and the distribution of weights over the learning sample. The distribution of weights is then updated using the task-specific classifiers for the new task.

Career Highlights

Anil Goyal is currently employed at NEC Corporation, where he continues to push the boundaries of machine learning technology. His innovative approaches have garnered attention in the tech community, and he is recognized for his expertise in lifelong learning algorithms.

Collaborations

Anil has collaborated with notable colleagues such as Ammar Shaker and Francesco Alesiani. Their combined efforts contribute to advancing research and development in machine learning.

Conclusion

Anil Goyal's work in machine learning exemplifies the innovative spirit of modern inventors. His patents reflect a deep understanding of complex algorithms and their applications in real-world scenarios.

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]
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