Maroubra, Australia

Anthony Knittel


Average Co-Inventor Count = 1.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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5 patents (USPTO):Explore Patents

Title: Anthony Knittel: Innovator in Neural Network Technologies

Introduction

Anthony Knittel is a prominent inventor based in Maroubra, Australia. He has made significant contributions to the field of artificial intelligence, particularly in the development of neural network technologies. With a total of 5 patents to his name, Knittel continues to push the boundaries of innovation in this rapidly evolving field.

Latest Patents

Among his latest patents is a method for recognizing actions through relative position encoding based networks. This innovative approach involves determining a weighted combination of feature responses associated with a sequence of actions over time. By utilizing a neural network, the method effectively recognizes actions based on these weighted combinations and their temporal position values.

Another notable patent focuses on training artificial neural networks by scaling activation values. This method determines activation values for each node in the network and scales them using a specific factor based on the node's rank. This process enhances the training of the neural network by updating weights associated with each node, thereby improving overall performance.

Career Highlights

Anthony Knittel is currently employed at Canon Kabushiki Kaisha, where he applies his expertise in neural networks to develop cutting-edge technologies. His work has garnered attention for its innovative approaches and practical applications in various fields.

Collaborations

One of his notable collaborators is Tuan Hue Thi, with whom he has worked on several projects aimed at advancing neural network methodologies. Their combined efforts have contributed to the development of more efficient and effective artificial intelligence systems.

Conclusion

Anthony Knittel stands out as a key figure in the realm of neural network innovation. His patents and contributions reflect a deep commitment to advancing technology and enhancing the capabilities of artificial intelligence. His work continues to inspire future developments in the field.

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