Mihaela Rosca

Title: Mihaela Rosca: Innovator in Compressed Sensing Using Neural Networks

Introduction

Mihaela Rosca is a prominent inventor based in London, GB. She has made significant contributions to the field of artificial intelligence and data processing. Her innovative work focuses on compressed sensing using neural networks, which has implications for various applications in technology and data analysis.

Latest Patents

Mihaela holds a patent for her invention titled "Compressed sensing using neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressed sensing using neural networks. The invention involves receiving an input measurement of an input data item and processing it through a series of optimization steps. These steps include using a generator neural network to generate a candidate reconstructed data item and updating the latent representation to minimize the error between the measurement and the input measurement. Ultimately, the process results in a reconstruction of the input data item.

Career Highlights

Mihaela Rosca is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research and development. Her work at DeepMind has allowed her to explore advanced methodologies in neural networks and their applications in data processing.

Collaborations

Mihaela has collaborated with notable colleagues, including Yan Wu and Timothy Paul Lillicrap. These collaborations have further enriched her research and contributed to the advancement of her innovative projects.

Conclusion

Mihaela Rosca is a trailblazer in the field of compressed sensing and neural networks. Her patent and work at DeepMind Technologies Limited highlight her significant contributions to technology and innovation.