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For the Inventor, By the Inventor

Johannesburg, South Africa

Naweed Aghmad Khan

USPTO Granted Patents = 11 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal11 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2022-2024

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11 patents (USPTO):
1. 12045319 - First-order logical neural networks with bidirectional inference (2024-07-23),
2. 11934441 - Generative ontology learning and natural language processing with predictive language models (2024-03-19),
3. 11803657 - Generation of representative data to preserve membership privacy (2023-10-31),
4. 11687724 - Word sense disambiguation using a deep logico-neural network (2023-06-27),
5. 11599194 - Spatial guidance system for visually impaired individuals (2023-03-07),
6. 11556787 - AI-assisted detection and prevention of unwanted noise (2023-01-17),
7. 11496802 - Media stream delivery (2022-11-08),
8. 11494634 - Optimizing capacity and learning of weighted real-valued logic (2022-11-08),
9. 11475379 - Machine learning models of livestock value chain (2022-10-18),
10. 11436508 - Contextual hashtag generator (2022-09-06),
11. 11271752 - Automatic form completion from a set of federated data providers (2022-03-08),

Title: Innovations and Contributions of Naweed Aghmad Khan

Introduction

Naweed Aghmad Khan, based in Johannesburg, South Africa, is a prominent inventor with a remarkable portfolio of 11 patents. His work focuses on advanced computational techniques and logical frameworks that enhance artificial intelligence and natural language processing.

Latest Patents

Two of Naweed's latest patents stand out due to their innovative approaches. The first, titled "First-order logical neural networks with bidirectional inference," introduces a system designed to configure and utilize logical neural networks through a graph syntax tree of formulae. This system enhances how propositions are interconnected, allowing each neuron to represent logical connectives and propositions with upper and lower truth value bounds. It allows for bidirectional inference, where every occurrence of propositions within formulas can act as potential proof within the logical network.

His second patent, "Generative ontology learning and natural language processing with predictive language models," innovates in the domain of text generation. It involves selecting an ontology topic and employing a pretrained predictive language model to create tailored text based on ontological rules. This process, guided by a prediction steering component, not only creates relevant natural language text but also helps in extracting ontology rules that can be compared against an ontology rule database, ensuring that the performance of the ontology extractor meets acceptable standards.

Career Highlights

Naweed Aghmad Khan is affiliated with the International Business Machines Corporation (IBM), a leading technology company known for its cutting-edge research and innovations. His role at IBM allows him to work on transformative projects that push the boundaries of technology in logical reasoning and natural language processing.

Collaborations

Throughout his career, Naweed has collaborated with talented peers, including Ismail Yunus Akhalwaya and Francois Pierre Luus. These collaborations foster a creative and innovative environment, leading to the development of impactful technologies and inventions.

Conclusion

Naweed Aghmad Khan exemplifies the spirit of innovation with his extensive contributions to artificial intelligence and natural language processing. His patents reflect a deep understanding of complex systems and a commitment to advancing technological capabilities. As he continues to develop groundbreaking solutions, his work will undoubtedly influence the future of computational intelligence.

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