Location History:
- New York, NY (US) (2019)
- San Antonio, TX (US) (2006 - 2023)
Company Filing History:
13 out of 5,469 
7 out of 702 
3 out of 832,880 Years Active: 2006-2023
Title: The Innovative Contributions of Sos S Agaian in Hypercomplex Deep Learning
Introduction: Sos S Agaian is a prominent inventor based in New York, NY, known for his significant contributions to the field of deep learning and data representation. With a remarkable portfolio of 20 patents, his work revolves around advanced methodologies and systems that enhance data analysis and applications across various domains.
Latest Patents: One of Agaian's latest patents details hypercomplex deep learning methods, architectures, and apparatus for multimodal small, medium, and large-scale data representation. This inventive system includes a method to create hypercomplex representations of data by utilizing training data, transforming them into hypercomplex values, and employing algorithms to minimize errors in function graphs. The technology provides capabilities for biometric identity verification by integrating multimodal data from various sensors and demonstrates potential applications in areas such as image segmentation, face recognition, medical image classification, and machine translation.
In another groundbreaking patent, Agaian introduced methods and systems for human imperceptible computerized color transfer. This inventive process involves receiving a target image, identifying dominant source colors, and transforming the image into a color model. It enables the extraction of dominant colors and generates a recolored target image through a well-defined color mapping relationship, showcasing the intersection of art and technology.
Career Highlights: Throughout his career, Sos S Agaian has worked with esteemed institutions such as the University of Texas System and Tufts College. His research not only highlights advanced theoretical frameworks but also emphasizes practical applications that push the boundaries of technology in real-world scenarios.
Collaborations: Agaian has collaborated with notable figures in the field, including Karen Panetta and Aaron Benjamin Greenblatt. Their collective expertise has contributed to the innovative landscape of deep learning and data processing methodologies.
Conclusion: Sos S Agaian exemplifies the spirit of innovation within the realms of technology and data science. His patents reflect a deep commitment to advancing fields such as artificial intelligence and machine learning, positioning him as a leading inventor in today’s technological landscape. Through his contributions, he continues to inspire future generations of inventors and researchers devoted to exploring the frontiers of innovation.