Carsten Miklos Steinebach

Title: Carsten Miklos Steinebach: Innovator in Neural Network Ranking Systems

Introduction

Carsten Miklos Steinebach is an accomplished inventor based in El Cerrito, California. He has made significant contributions to the field of artificial intelligence, particularly in the development of neural network technologies. His innovative work focuses on methods for generating ranking scores using neural networks, which has applications in various domains.

Latest Patents

Steinebach holds a patent for "Pairwise ranking using neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to generate a ranking score for a network input. One of the key methods involves generating training data and training the neural network on this data. The training data consists of multiple training pairs, which are created by obtaining data that indicates the presentation order of training network inputs in a user interface. The process includes identifying inputs with positive and negative labels and generating training pairs accordingly. This innovative approach enhances the efficiency and accuracy of neural network training.

Career Highlights

Steinebach is currently associated with DeepMind Technologies Limited, where he continues to push the boundaries of artificial intelligence research. His work has garnered attention for its potential to improve decision-making processes in various applications.

Collaborations

Some of his notable coworkers include Xiaohong Gong and Arturo Bajuelos Castillo, who contribute to the collaborative environment at DeepMind Technologies Limited.

Conclusion

Carsten Miklos Steinebach's contributions to neural network technologies exemplify the innovative spirit of modern inventors. His patent on pairwise ranking using neural networks showcases his commitment to advancing artificial intelligence.