Company Filing History:

8 out of 164,108

International Business Machines Corporation

Years Active: 2001-2022

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11216719 - Methods and arrangements to quantize a neural network with machine learning (2022-01-04),

2. 10817567 - Techniques for information graph compression (2020-10-27),

3. 9165048 - Linked field table for databases (2015-10-20),

4. 8689211 - Live migration of virtual machines in a computing environment (2014-04-01),

5. 8107451 - Efficient deallocation of network resources based on network node location extrapolation (2012-01-31),

6. 6401216 - System of performing checkpoint/restart of a parallel program (2002-06-04),

7. 6393583 - Method of performing checkpoint/restart of a parallel program (2002-05-21),

8. 6338147 - Program products for performing checkpoint/restart of a parallel program (2002-01-08),

9. 6332200 - Capturing and identifying a complete and consistent set of checkpoint files (2001-12-18),

10. 6332199 - Restoring checkpointed processes including adjusting environment variables of the processes (2001-12-18),

11. 6256751 - Restoring checkpointed processes without restoring attributes of external data referenced by the processes (2001-07-03),

Title: Adnan M Agbaria: Innovator in Neural Networks and Graph Compression

Introduction

Adnan M Agbaria is a prominent inventor based in Musmus, IL. He has made significant contributions to the fields of machine learning and graph information compression. With a total of 11 patents to his name, Agbaria's work continues to influence technological advancements.

Latest Patents

Among his latest patents, Agbaria has developed methods and arrangements to quantize a neural network with machine learning. This innovation involves generating quantization parameters through a secondary neural network logic circuitry for a primary neural network. The primary neural network consists of multiple layers that are trainable with an objective function, each layer comprising multiple tensors. Additionally, he has created techniques for information graph compression. This patent describes apparatuses that provide graph compression structures for graph information, including unique indexing for nodes and generating adjacency lists for neighbor nodes.

Career Highlights

Agbaria has worked with notable companies such as IBM and Intel Corporation. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.

Collaborations

Throughout his career, Agbaria has collaborated with esteemed colleagues, including Kalman Zvi Meth and Anton Prenneis. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Adnan M Agbaria's contributions to neural networks and graph compression exemplify his innovative spirit and technical expertise. His work continues to pave the way for advancements in machine learning and data processing.

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