Between Research and Reality: A Industrial Machine Learning Practitioner’s Point of View

Industrial Problems Seminar

Tianyi Mao
Helm.ai

Abstract

In this talk, I aim to bridge the gap between academic breakthroughs and industrial applications in deep learning, drawing from my six-year journey as an applied scientist across three companies. I'll examine pivotal moments when groundbreaking papers in machine learning catalyzed innovative solutions in my teams’ industry projects. I will talk about how my teams adapted cutting-edge research into practical applications, while also showing how real-world challenges inspired novel research directions. These industrial problems, though initially approached from a practical standpoint, later proved to be fertile ground for fundamental research advances.