This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Nokia Technologies Oy. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Vincent Tseng in Neural Network Technology
Introduction
Vincent Tseng is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of neural networks, particularly in the area of inferencing methods and apparatuses. His work is characterized by innovative approaches that enhance the performance of neural networks.
Latest Patents
Vincent Tseng holds a patent for "Methods and apparatuses for inferencing using a neural network." This patent describes methods for performing inferencing based on input data. The methods involve initializing a neural network using stored model information, which defines orthogonal binary basis vectors for implementing kernels in hidden layers. The process includes passing input data through the neural network, performing convolution operations, and outputting data that represents an inference corresponding to the input data.
Career Highlights
Vincent Tseng is currently associated with Nokia Technologies Oy, where he applies his expertise in neural networks. His work at Nokia has allowed him to explore advanced methodologies in machine learning and artificial intelligence. He has been instrumental in developing innovative solutions that leverage neural network technology.
Collaborations
Vincent has collaborated with notable colleagues such as Nicholas Lane and Sourav Bhattacharya. These collaborations have fostered a creative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Vincent Tseng's contributions to neural network technology exemplify the innovative spirit of modern inventors. His patent and work at Nokia Technologies Oy highlight the importance of advancements in artificial intelligence and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
