Viorica Patraucean

Title: Viorica Patraucean: Innovator in Machine Learning and Video Processing

Introduction

Viorica Patraucean is a prominent inventor based in London, GB, known for her significant contributions to the fields of machine learning and video processing. With a total of three patents to her name, she has made remarkable strides in developing innovative systems that enhance the efficiency of processing tasks and video sequences.

Latest Patents

One of her latest patents is titled "Reinforcement learning for active sequence processing." This invention describes a system configured to receive a sequence of task inputs and perform a machine learning task. The system includes a reinforcement learning (RL) neural network and a task neural network. The RL neural network generates decisions for each task input, determining whether to encode or skip the input, while the task neural network processes the un-skipped inputs to generate accumulated features and produce a machine learning task output.

Another notable patent is focused on "Parallel video processing systems." This invention encompasses methods, systems, and apparatus for the parallel processing of video frames using neural networks. The method involves receiving a video sequence and processing it with a video processing neural network, which includes a sequence of network components that are active for specific time steps, thereby generating a video processing output.

Career Highlights

Viorica Patraucean is currently employed at DeepMind Technologies Limited, where she continues to push the boundaries of artificial intelligence and machine learning. Her work has garnered attention for its innovative approach to complex problems in technology.

Collaborations

Throughout her career, Viorica has collaborated with notable colleagues, including Simon Osindero and Joao Carreira. These partnerships have contributed to her success and the advancement of her research.

Conclusion

Viorica Patraucean stands out as a leading inventor in the realm of machine learning and video processing. Her patents reflect her commitment to innovation and her ability to address complex challenges in technology.