Justin Kuo-Ting Tsung

Title: Justin Kuo-Ting Tsung: Predicting State Changes with Machine Learning.

Introduction

Justin Kuo-Ting Tsung is an inventor associated with San Francisco, California, and Maplebear Inc. His patent work addresses how online systems can use machine learning to anticipate changes that affect order servicing.

Latest Patents

Tsung is named on 1 patent: “Using Trained Machine-Learning Model of an Online System to Predict Timing of State Change of Variable State Item.” The invention applies a trained model to information about a variable-state item and ambient conditions to predict when the item’s state will change at a source location. Based on that prediction, the online system generates a control signal to initiate and carry out an action related to the order, the item, or both.

Career Highlights

The patent reflects work at the intersection of machine learning and online order operations. By predicting when an item’s state may change, the system can inform the timing of actions involved in servicing an order.

Collaborations

Tsung’s listed coworkers include Brent Scheibelhut and Sara Starck. The available information does not specify their roles in the patent or their particular contributions.

Conclusion

Justin Kuo-Ting Tsung’s patent focuses on using machine-learning predictions to coordinate actions around changing item states, connecting predictive technology with online order servicing.