This inventor holds 1 USPTO granted patent. Top assignee: Nvidia 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: Linnan Wang: Innovator in Neural Network Optimization
Introduction
Linnan Wang is a prominent inventor based in Pleasanton, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the optimization of neural networks. His innovative approach has led to advancements that enhance the efficiency and effectiveness of machine learning models.
Latest Patents
Linnan Wang holds a patent for an invention titled "Removing neural network layers." This patent encompasses apparatuses, systems, and techniques designed to determine whether to remove one or more neural network layers. In at least one embodiment, the decision to remove layers is based on a neural architecture search (NAS). This innovation is crucial for improving the performance of neural networks by streamlining their structure.
Career Highlights
Linnan Wang is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia has allowed him to collaborate with some of the brightest minds in the industry, contributing to groundbreaking advancements in technology.
Collaborations
Some of Linnan Wang's notable coworkers include Slawomir Kierat and Mateusz Sieniawski. Their collaborative efforts have fostered an environment of innovation and creativity, leading to significant developments in their respective fields.
Conclusion
Linnan Wang's contributions to neural network optimization exemplify the impact of innovative thinking in technology. His patent and work at Nvidia Corporation highlight his role as a key player in advancing artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
