Sony Group Corporation

Leilani Gilpin

Peter R Wurman

James MacGlashan

Piyush Khandelwal

Samuel Barrett

Rory Douglas

Dion Whitehead

Leon Barrett

Kaushik Subramanian

Thomas Walsh

A user interface (UI), for analyzing model training runs, tracking and visualizing various aspects of machine learning experiments, can be used when training an artificial intelligent agent in, for example, a racing game environment. The UI can be web-based and can allow researchers to easily see the status of their experiments. The UI can include an experiment synchronized event viewer that can synchronizes visualizations, videos, and timeline/metrics graphs in the experiment. This viewer allows researchers to see how experiments unfold in great detail. The UI can further include experiment event annotations that can generate event annotations. These annotations can be displayed via the synchronized event viewer. The UI can be used to consider consolidated results across experiments and can further consider videos. For example, the UI can provide a reusable dashboard that can capture and compare metrics across multiple experiments.

User interface for operating artificial intelligence experiments

Growing community of inventors

Santa Cruz, CA, United States of America

Leilani Gilpin