Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Daniel Bibireata
Introduction
Daniel Bibireata is a notable inventor based in Bellevue, WA (US), recognized for his contributions to machine learning and model management systems. With a total of 3 patents, he has made significant strides in improving training data for visual inspection and error analysis in machine learning models.
Latest Patents
Bibireata's latest patents include a "Model management system for improving training data through machine learning deployment." This innovative system adaptively refines a training dataset to enhance the effectiveness of visual inspections. It trains a machine learning model using an initial dataset and sends the trained model to a client for deployment. The deployment generates outputs that are sent back to the system, which evaluates the performance of predictions for noisy data points. The system identifies causes of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. It then refines the training dataset based on the identified cause of failure and retrains the machine learning model for re-deployment.
Another significant patent is the "Guided workflow for deep learning error analysis." This model management system performs error analysis on results predicted by a machine learning model. It identifies incorrectly classified images and uses the Neural Template Matching (NTM) algorithm to find additional correlated images. The system outputs these correlated images based on user-defined regions of interest and prompts tasks associated with the additional images. If an additional image is incorrectly labeled, the system instructs the machine learning model to be retrained using an updated training dataset that includes the replacement label.
Career Highlights
Daniel Bibireata is currently employed at Landing AI, where he continues to develop innovative solutions in the field of artificial intelligence and machine learning. His work focuses on enhancing the accuracy and efficiency of machine learning models, contributing to advancements in technology.
Collaborations
Bibireata collaborates with talented individuals such as Mark William Sabini and Kai Yang, who share his passion for innovation and technology.
Conclusion
Daniel Bibireata's contributions to machine learning and model management systems highlight his role as a significant inventor in the field. His innovative patents demonstrate a commitment to improving technology and enhancing the capabilities of machine learning applications.