Company Filing History:
Years Active: 2019-2025
Title: Innovations and Contributions of Pritish Narayanan in Artificial Intelligence
Introduction
Pritish Narayanan is a prominent inventor located in San Jose, CA, known for his significant contributions to the field of artificial intelligence and neural networks. With an impressive portfolio of 23 patents, Narayanan has made substantial advancements that enhance computational efficiency in artificial intelligence applications.
Latest Patents
Narayanan’s latest innovations include several noteworthy patents. One such patent is titled "Row-by-row convolutional neural network mapping for analog artificial intelligence network training." This patent outlines a computer-implemented method for executing a convolutional neural network (CNN) using a crosspoint array. It describes the configuration of the array to implement convolution layers by storing weights in crosspoint devices, training the CNN, and employing a row-by-row approach to mapping input data.
Another notable patent is for a "System, method and article of manufacture for synchronization-free transmittal of neuron values in hardware artificial neural networks." This invention facilitates computations within artificial neural networks using neurons and synapses, effectively transferring neuron values from one array to another without global clock synchronization. The technology promotes better efficiency and accuracy in neural network operations.
Career Highlights
Pritish Narayanan has had a distinguished career, having worked with renowned institutions such as IBM and Polytechnic University of Turin. His experiences in these environments have greatly influenced his research and development endeavors in the field of artificial intelligence.
Collaborations
Throughout his career, Narayanan has collaborated with esteemed peers, including Geoffrey W. Burr and Hsin-Yu Tsai. These collaborations have contributed to his innovative research and the development of several groundbreaking technologies in the realm of neural networks and artificial intelligence.
Conclusion
With a blend of innovative thinking and extensive expertise, Pritish Narayanan has significantly impacted the artificial intelligence landscape. His latest patents exemplify a commitment to advancing technology while collaborating with other prominent experts in the field, paving the way for future advancements in AI and computational methods.
Inventor’s Patent Attorneys refers to legal professionals with specialized expertise in representing inventors throughout the patent process. These attorneys assist inventors in navigating the complexities of patent law, including filing patent applications, conducting patent searches, and protecting intellectual property rights. They play a crucial role in helping inventors secure patents for their innovative creations.