This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2019-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2026
Title: The Innovations of Carmelo Di Nolfo
Introduction
Carmelo Di Nolfo is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of artificial neural networks, particularly in enhancing their performance and efficiency. His innovative approach has garnered attention in the tech community.
Latest Patents
Carmelo holds a patent for a method titled "Neuron-centric local learning rate for artificial neural networks to increase performance, learning rate margin, and reduce power consumption." This patent addresses the challenges faced by artificial neural networks (ANNs) in terms of performance due to non-idealities in non-volatile memory (NVM) elements. The method he developed implements a local learning rate parameter for each synaptic connection, allowing for improved performance without compromising the ability to train multiple synaptic weights in parallel.
Career Highlights
Carmelo is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing technologies related to artificial intelligence and machine learning. His innovative contributions have positioned him as a key player in the development of more efficient neural network systems.
Collaborations
Carmelo has collaborated with notable colleagues, including Irem Boybat Kara and Geoffrey W Burr. These collaborations have further enriched his research and development efforts in the field of artificial intelligence.
Conclusion
Carmelo Di Nolfo's work exemplifies the spirit of innovation in technology, particularly in artificial neural networks. His contributions not only enhance performance but also pave the way for more efficient computing solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
