Ashish Verma

Title: Innovations by Ashish Verma

Introduction

Ashish Verma is an accomplished inventor based in Nanuet, NY (US). He has made significant contributions to the field of technology, particularly in the areas of machine learning and data attribution. With a total of three patents to his name, Verma continues to push the boundaries of innovation.

Latest Patents

One of Ashish Verma's latest patents is titled "Private computation of an agent data attribution score in collaborated task." This computer-implemented method involves determining an agent data attribution score for each agent involved in a collaborative data-related task. The process includes selecting a subset of agents based on their scores and instructing them to conduct their respective portions of the task. Another notable patent is "Multi-objective automated machine learning." This invention presents a system and method for identifying multiple machine learning pipelines as Pareto-optimal solutions to optimize various objectives. The method involves receiving input data, determining objectives, and selecting the best machine learning pipeline from the identified solutions.

Career Highlights

Ashish Verma is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with other talented professionals in the field, enhancing his innovative capabilities and contributing to the company's technological advancements.

Collaborations

Some of Ashish Verma's coworkers include Colin Sutcher-Shepard and Jayaram Kallapalayam Radhakrishnan. Their collaboration fosters a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Ashish Verma's contributions to the field of technology through his patents and work at IBM highlight his role as a significant innovator. His dedication to advancing machine learning and data attribution continues to inspire others in the industry.