Kyle Phillips

Title: Kyle Phillips: Inventor of a Node-Based Machine Learning Interface

Introduction

Kyle Phillips is an inventor associated with Google Inc. and based in Brooklyn, New York. His patent work describes a visual, node-based interface for building and evaluating machine learning classification models. Phillips is credited with 1 patent in the information provided.

Latest Patents

Phillips’s patent, “Node-Based Interface for Machine Learning Classification Modeling,” describes an interface organized into data-classification, training, and evaluation sections. Users can capture separate sets of training data at class nodes, then initiate model training through a training node. An evaluation node can receive evaluation data, apply the trained model to classify each item, and display a visual representation of the resulting classifications.

Career Highlights

The patent highlights an approach to making machine learning workflows more visual and accessible. By arranging data collection, model training, and evaluation in connected nodes, the interface presents key stages of classification modeling within a single environment. The supplied information identifies Phillips’s association with Google Inc., but does not provide further details about his role or career history.

Collaborations

Alexander Hanbing Chen and Jonas Pieter Halfdan Jongejan are identified as Phillips’s coworkers. The information provided does not specify their roles in the patent or describe particular collaborative contributions.

Conclusion

Kyle Phillips’s patent presents a node-based interface that brings training-data capture, classification-model training, and evaluation together in a visual workflow.