Company Filing History:
Years Active: 2025
Title: Pratyay Banerjee: Innovator in User Interface Language Learning
Introduction
Pratyay Banerjee is an accomplished inventor based in Tempe, AZ (US). He has made significant contributions to the field of user interface design through his innovative patent. His work focuses on enhancing the interaction between users and technology by developing advanced systems for learning user interface languages.
Latest Patents
Pratyay holds a patent for a "Self-supervised system for learning a user interface language." This computer-implemented method involves accessing training data that includes images, associated alternative text, and proximately located text that provides instructions describing a user interface. The images are paired with text captions derived from the proximately located text and the image's alternative text. The system trains a vision and language model in a self-supervised manner using language masking, region masking, and image-text alignment techniques on respective image region features and tokenized text captions. Fine-tuning of the vision and language model is performed to obtain a specialized model representing user interface elements and associated functions. This innovative approach has the potential to revolutionize how users interact with digital interfaces.
Career Highlights
Pratyay is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology and user experience. His work is characterized by a commitment to improving the usability and accessibility of software applications.
Collaborations
Pratyay collaborates with talented individuals such as Oriana Riva and Shweti Mahajan. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in user interface technology.
Conclusion
Pratyay Banerjee is a notable inventor whose work in user interface language learning exemplifies the intersection of technology and user experience. His contributions are paving the way for more intuitive and effective interactions between users and digital systems.
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