Toronto, Canada

Andrew Delong

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 2.8

ph-index = 2

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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6 patents (USPTO):Explore Patents

Title: Andrew Delong: Innovator in Neural Network Technologies

Introduction: Andrew Delong is a notable inventor based in Toronto, CA. With a total of six patents to his name, Delong has made significant contributions to the field of artificial intelligence and biotechnology, particularly in the area of neural networks. His innovative work focuses on improving the training and application of neural networks in various contexts.

Latest Patents: Some of Andrew Delong's latest patents include a "System and method for training neural networks." This invention describes systems and methods that employ a hyper-parameter controlling the variance of ensemble predictors, effectively addressing the issue of overfitting. By utilizing larger hyper-parameter values, the ensemble predictions exhibit increased variance, thus reducing instances of overfitting. This approach is versatile, applicable to ensemble learning across various cost functions and architectures.

Another significant patent is his work on "Neural network architectures for scoring and visualizing biological sequence variations using molecular phenotype, and systems and methods therefor." This patent details innovative systems and methods for scoring and visualizing the effects of variants in biological sequences, including substitutions, insertions, and deletions. The methodology involves encoding biological sequences as vector sequences and utilizing neural networks to compute variant scores, with normalization of gradients to improve accuracy.

Career Highlights: Delong's career is marked by his commitment to advancing neural network technologies. His work has received recognition within the industry for its practical implications in fields such as bioinformatics and therapeutic development. By continually refining techniques for neural network training, Delong contributes to enhancing predictive accuracy in varied applications.

Collaborations: Throughout his career, Andrew Delong has collaborated with distinguished professionals in his field, including Brendan John Frey and Hui Yuan Xiong. These collaborations have enriched his work and fostered innovative solutions to complex problems in neural network application and development.

Conclusion: Andrew Delong stands out as a remarkable inventor whose contributions to neural network technologies hold great potential for scientific advancement. His patents demonstrate a deep understanding and application of artificial intelligence principles, making him a key figure in the innovation landscape. As the field continues to evolve, Delong's work is sure to have lasting impacts on both technology and biology.

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