This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Naweed Aghmad Khan: Innovator in Neural Network Processing
Introduction
Naweed Aghmad Khan is a prominent inventor based in Johannesburg, CA. He has made significant contributions to the field of neural networks, particularly in the area of parallel and distributed processing. His innovative work has led to the development of a unique patent that enhances the efficiency of propositional logical neural networks.
Latest Patents
Naweed holds a patent titled "Parallel and distributed processing of propositional logical neural networks." This invention involves a processor that identifies a plurality of weights from the propositional logical neural network. The process includes converting these weights into a sparse matrix and transforming a training set into a plurality of bound vectors. Additionally, the invention updates the sparse matrix using a graphical processing unit (GPU) and computes a loss parameter. If the loss function is determined to be below a certain threshold, the plurality of weights of the propositional neural network is updated. Naweed has 1 patent to his name.
Career Highlights
Naweed Aghmad Khan is associated with the International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning.
Collaborations
Naweed collaborates with Anamitra Roy Choudhury, a fellow innovator in the field. Their partnership exemplifies the spirit of teamwork and innovation that drives progress in technology.
Conclusion
Naweed Aghmad Khan is a notable inventor whose work in neural network processing has the potential to revolutionize the field. His contributions, particularly through his patent, demonstrate his commitment to advancing technology and improving computational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
