Raia Thais Hadsell

Title: Raia Thais Hadsell: Innovator in Neural Networks

Introduction

Raia Thais Hadsell is a prominent inventor based in London, GB, known for her significant contributions to the field of artificial intelligence and machine learning. With a remarkable portfolio of 12 patents, she has been at the forefront of developing innovative solutions that enhance the capabilities of neural networks.

Latest Patents

Hadsell's latest patents include groundbreaking work on "Neural networks for scalable continual learning in domains with sequentially learned tasks." This invention encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, aimed at scalable continual learning using neural networks. One of the methods involves receiving new training data for a new machine learning task and training an active subnetwork on this data to determine trained values of the active network parameters. Additionally, she has developed a patent for "Multi-task neural network systems with task-specific policies and a shared policy." This method proposes a multitask computer system where a set of trainable workers and a shared module are trained on various tasks, optimizing an objective function that includes reward terms and entropy terms.

Career Highlights

Hadsell is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research. Her work at DeepMind has positioned her as a key player in advancing neural network technologies and their applications in real-world scenarios.

Collaborations

Some of her notable coworkers include Razvan Pascanu and Andrea Banino, who are also recognized for their contributions to the field of AI and machine learning.

Conclusion

Raia Thais Hadsell's innovative work in neural networks and machine learning continues to push the boundaries of technology. Her patents reflect her commitment to advancing the field and her role as a leading inventor in artificial intelligence.