Carlos Riquelme Ruiz

Title: Carlos Riquelme Ruiz: Innovator in Neural Network Training

Introduction

Carlos Riquelme Ruiz is a prominent inventor based in Zurich, Switzerland. He has made significant contributions to the field of artificial intelligence, particularly in the training of neural networks. His innovative approach utilizes transfer learning, which enhances the efficiency and effectiveness of neural network training.

Latest Patents

Carlos holds a patent for "Training neural networks using transfer learning." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training neural networks using transfer learning. One of the methods involves training a neural network to perform a first prediction task by obtaining trained model parameters for various candidate neural networks. Each candidate neural network is pre-trained to perform a different second prediction task. The process includes selecting a proper subset of candidate neural networks, generating fine-tuned neural networks, and determining model parameters for the neural network using these fine-tuned networks. He has 1 patent to his name.

Career Highlights

Carlos is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work focuses on enhancing machine learning algorithms and improving their application in real-world scenarios.

Collaborations

Throughout his career, Carlos has collaborated with notable colleagues, including Joan Puigcerver I Perez and Basil Mustafa. These collaborations have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Carlos Riquelme Ruiz is a key figure in the field of neural network training, with a focus on transfer learning. His contributions are paving the way for future innovations in artificial intelligence.