Company Filing History:
Years Active: 2025
Title: Innovations of Basil Mustafa in Neural Network Training
Introduction
Basil Mustafa is an accomplished inventor based in Zurich, Switzerland. He has made significant contributions to the field of artificial intelligence, particularly in the training of neural networks. With a total of 2 patents, his work focuses on enhancing the efficiency and effectiveness of machine learning processes.
Latest Patents
Basil Mustafa's latest patents include innovative methods for training neural networks using transfer learning. One of his patents describes methods, systems, and apparatus for training neural networks, which involve obtaining trained model parameters for various candidate neural networks. These networks are pre-trained to perform different prediction tasks. The process includes selecting a proper subset of candidate networks and generating fine-tuned neural networks by updating their model parameters with training examples.
Another patent focuses on transfer learning between different computer vision tasks. This method involves pre-training an initial neural network that shares layers with the target neural network to perform an initial computer vision task. Subsequently, the target neural network is trained on a downstream computer vision task, enhancing its performance and adaptability.
Career Highlights
Basil Mustafa is currently employed at Google Inc., where he continues to push the boundaries of artificial intelligence and machine learning. His work at Google has allowed him to collaborate with some of the brightest minds in the industry, contributing to groundbreaking advancements in technology.
Collaborations
Some of his notable coworkers include Joan Puigcerver I Perez and Neil Matthew Tinmouth Houlsby. Their collaborative efforts have further enriched the research and development environment at Google, fostering innovation in neural network training.
Conclusion
Basil Mustafa's contributions to the field of neural networks exemplify the power of innovation in technology. His patents not only advance the understanding of machine learning but also pave the way for future developments in artificial intelligence.