Ashrith Barthur

Title: Innovations by Ashrith Barthur

Introduction

Ashrith Barthur is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, holding a total of four patents. His work focuses on developing advanced algorithms for detecting anomalous behavior in datasets.

Latest Patents

One of Ashrith's latest patents is for an "Anomalous Behavior Detection" system. This invention utilizes a training dataset to train an unsupervised machine learning model. The model determines corresponding gradient values for various entries in the dataset. A subset of the training dataset is selected based on these gradient values and a chosen threshold. This labeled subset is then used to train a supervised machine learning model to detect anomalies effectively.

Another notable patent is the "Time-Based Ensemble Machine Learning Model." In this invention, an input dataset is divided into two versions based on different time periods. The first version corresponds to a longer time period, while the second version is shorter. Machine learning models are generated from both versions and combined to create an ensemble model. This model outputs predictions indicating abnormal behavior associated with the input dataset.

Career Highlights

Ashrith Barthur is currently employed at H2O.ai Inc., where he continues to innovate in the field of artificial intelligence and machine learning. His work has garnered attention for its practical applications in various industries.

Collaborations

Ashrith collaborates with SriSatish Ambati, who is also a key figure in the field of machine learning. Their partnership has led to advancements in the development of machine learning technologies.

Conclusion

Ashrith Barthur is a notable inventor whose work in machine learning has led to significant advancements in anomaly detection. His contributions continue to shape the future of artificial intelligence.