Richmond Hill, Canada

Sam Sattarzadeh

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Sam Sattarzadeh: Pioneering Explanation Maps for Neural Networks

Introduction

Sam Sattarzadeh, an accomplished inventor based in Richmond Hill, CA, has made significant contributions to the field of artificial intelligence through his innovative work on convolutional neural networks (CNNs). With a keen focus on enhancing the interpretability of these complex models, Sattarzadeh has secured a patent that showcases his impressive understanding of machine learning technologies.

Latest Patents

Sattarzadeh holds a patent for his invention titled "Semantic Input Sampling for Explanation (SISE) of Convolutional Neural Networks." This patent addresses the challenge of generating explanation maps to elucidate the decision-making processes of CNNs. The methodology involves obtaining an input image that influences the CNN's output, selecting feature maps from various pooling layers, and creating attribution masks that enhance the visualization of how different features contribute to the CNN's determination. His innovative approach not only improves the clarity of CNN operations but also empowers users with better insights into machine learning models.

Career Highlights

Throughout his career, Sam Sattarzadeh has demonstrated a commitment to advancing technology through rigorous research and development. He has previously worked with notable organizations, including LG Electronics Inc. and the University of Toronto. His experiences at these prestigious institutions have equipped him with a unique perspective on the integration of academic research and practical applications in technology.

Collaborations

Sattarzadeh has collaborated with distinguished professionals in the field, including Jongseong Jang and Hyunwoo Kim. These partnerships reflect his dedication to fostering innovation through teamwork and knowledge exchange, further enhancing his contributions to the technological landscape.

Conclusion

Sam Sattarzadeh's innovative work on semantic input sampling for CNNs marks a significant addition to the field of artificial intelligence. His patent not only showcases his inventive spirit but also offers valuable tools for understanding and interpreting complex neural network behaviors. As technology continues to evolve, Sattarzadeh's contributions will likely play a crucial role in bridging the gap between advanced algorithms and user understanding.

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