Company Filing History:
Years Active: 2025
Title: Shankaranand Jagadeesan: Innovator in Deep Learning Error Analysis
Introduction
Shankaranand Jagadeesan is a notable inventor based in San Jose, California. He has made significant contributions to the field of machine learning, particularly in error analysis. His innovative approach has the potential to enhance the accuracy and reliability of machine learning models.
Latest Patents
Shankaranand holds a patent for a system titled "Guided workflow for deep learning error analysis." This model management system performs error analysis on results predicted by a machine learning model. The system identifies incorrectly classified images and utilizes the Neural Template Matching (NTM) algorithm to find additional images correlated to the selected image. It outputs correlated images based on a user-defined region of interest (ROI) and prompts tasks associated with the additional images. The system also allows for retraining the machine learning model using updated training datasets that include replacement labels.
Career Highlights
Shankaranand is currently employed at Landing AI, where he continues to work on advancing machine learning technologies. His expertise in model management systems and error analysis has positioned him as a valuable asset in the tech industry.
Collaborations
Shankaranand collaborates with talented individuals such as Mark William Sabini and Kai Yang. Their combined efforts contribute to innovative solutions in the field of artificial intelligence.
Conclusion
Shankaranand Jagadeesan's work in deep learning error analysis exemplifies the impact of innovative thinking in technology. His contributions are paving the way for more accurate machine learning applications.