Boars Hill, United Kingdom

Simone Severini


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Simone Severini: Innovator in Data Encoding and Classification

Introduction

Simone Severini is a prominent inventor based in Boars Hill, GB. She has made significant contributions to the field of data encoding and classification, particularly through her innovative patent. With a focus on enhancing computer systems for image classification, Severini's work is paving the way for advancements in artificial intelligence.

Latest Patents

Severini holds a patent for a method and apparatus for training a computer system for use in the classification of images. This patent involves processing image data by compressing it and loading it into a programmable quantum annealing device that includes a Restricted Boltzmann Machine. The machine is trained to act as a classifier of image data, which ultimately helps in initializing a neural network for image classification. This innovative approach provides a trained computer system that significantly improves the accuracy of image classification tasks. She has 1 patent to her name.

Career Highlights

Simone Severini is currently employed at Siemens Healthcare GmbH, where she continues to develop her expertise in data encoding and classification. Her work at Siemens Healthcare allows her to apply her innovative ideas in a practical setting, contributing to advancements in healthcare technology.

Collaborations

Severini collaborates with notable colleagues, including Mark Herbster and Peter Mountney. These partnerships enhance her research and development efforts, fostering an environment of innovation and creativity.

Conclusion

Simone Severini is a trailblazer in the field of data encoding and classification, with her groundbreaking patent and contributions to Siemens Healthcare GmbH. Her work exemplifies the potential of innovative technologies in transforming image classification processes.

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