Oghenetegiri Sido

Title: Oghenetegiri Sido and Confidence Evaluation for Structure Prediction

Introduction

Oghenetegiri Sido is an inventor based in Fremont, California. His patent work includes a machine-learning approach for assessing the reliability of predicted structures.

Latest Patents

Sido is associated with 1 patent, titled “Confidence Evaluation Model for Structure Prediction Tasks.” The invention describes techniques for training a machine-learning model to estimate the confidence of a predicted structure. A second model encodes information about the predicted structure, evaluates it alongside information about the underlying data object, and determines a probability that the prediction is correct.

Career Highlights

Sido’s listed patent is associated with Adobe, Inc. The invention addresses confidence evaluation in machine-learning structure prediction, where estimating the likelihood of a prediction’s correctness can help users assess model outputs.

Collaborations

The patent connects Sido’s work with Adobe, Inc. The available information identifies the company but does not specify additional collaborators.

Conclusion

Oghenetegiri Sido’s patent focuses on using machine learning to quantify confidence in predicted structures, linking his inventive work with Adobe, Inc.