Biren Agnihotri

Title: Biren Agnihotri: Innovator in Time-Series Forecasting

Introduction

Biren Agnihotri is a notable inventor based in California, recognized for his contributions to the field of deep learning and quantum computing. His innovative approach to time-series forecasting has garnered attention in the tech community.

Latest Patents

Agnihotri holds a patent for "Methods and apparatus for time-series forecasting using deep learning models of a deep belief network with quantum computing." This patent describes an apparatus that includes a Deep Belief Network (DBN) configured to receive input data through a processor. The processor initializes weights for a learning model of the DBN based on the input data. It generates a representation of the input data and transmits the weights, input data, and representation to a quantum compute device. The processor receives sampled values from the quantum compute device using an optimization function and updates the weights to train the learning model. The trained model is designed to produce an updated representation of the input data and generate output data via a regression layer.

Career Highlights

Biren Agnihotri is currently employed at Ernst & Young LLP, where he applies his expertise in deep learning and quantum computing. His work focuses on developing advanced methodologies for data analysis and forecasting.

Collaborations

Agnihotri collaborates with talented professionals in his field, including Sherif Barrad and Ricardo A. Collado. Their combined efforts contribute to innovative solutions in technology and data science.

Conclusion

Biren Agnihotri's work in time-series forecasting and quantum computing exemplifies the intersection of advanced technology and practical applications. His contributions continue to influence the landscape of data analysis and machine learning.