Mayoore Selvarasa Jaiswal

Title: Innovations of Mayoore Selvarasa Jaiswal

Introduction

Mayoore Selvarasa Jaiswal is a prominent inventor based in Austin, TX. He has made significant contributions to the field of machine learning and neural networks. With a total of 4 patents, Jaiswal continues to push the boundaries of technology through his innovative ideas.

Latest Patents

One of his latest patents is titled "Configuring a neural network using smoothing splines." This invention involves identifying an initial plurality of sets of hyperparameter values to evaluate an objective function related to the performance of a neural network. The process includes executing training on the neural network with these hyperparameters, generating an approximation of the objective function using splines, and determining updated hyperparameter values for optimal performance.

Another notable patent is "Image dispositioning using machine learning." This invention provides a method for predicting image sharing decisions through a neural network model trained on a set of annotated images and associated text inputs from users. The model outputs image sharing decisions specific to each user, showcasing the potential of machine learning in enhancing user experience.

Career Highlights

Mayoore Jaiswal is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in machine learning and neural networks. His work at IBM has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Minsik Cho and Bumsoo Kang. Their collaborative efforts contribute to the innovative projects at IBM, further advancing the field of technology.

Conclusion

Mayoore Selvarasa Jaiswal is a distinguished inventor whose work in machine learning and neural networks has led to valuable patents. His contributions continue to shape the future of technology and innovation.