Speaker: Steven Kim
Steven Kim
Chief Strategy Officer, Nota AI
See Steven Kim and many other expert speakers at the 2023 Embedded Vision Summit!
Enabling Technologies Session:
How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days
NetsPresso is a development pipeline that enables developers to build, optimize and deploy vision AI models faster and better. Using conventional tools, it typically takes 6-12 weeks to select, train, optimize and deploy a vision DNN. Using NetsPresso, developers can create and deploy high-performance models at the edge in three days.
NetsPresso uses neural architecture search to quickly find the best model for your application and hardware, and then trains the model in a hardware-aware manner to optimize accuracy and latency for your processor. Then NetsPresso applies model compression and acceleration to make your model small and fast without sacrificing accuracy. Finally, NetsPresso generates executable code and packages it in a form that can easily be integrated into your application. While developers focus on optimizing model accuracy and latency, NetsPresso minimizes the time and money required to build these models. So far, AI models developed through NetsPresso are commercially deployed on more than 45K devices.
About
Steven Kim is Chief Strategy Officer of Nota AI, where he and his teammates aim to build the world’s most effective and efficient pipeline — dubbed “NetsPresso” — to enable developers to build, optimize and deploy production-ready AI models on devices. He leads the product and strategy teams, covering global strategic partnerships and platform products. Steven focuses on defining the company’s innovation-based and customer-centric product vision, so that developers do not have to make painful trade-offs among performance, power and cost during AI model development. Steven has more than two decades of experience in the semiconductor industry and has held a broad set of leadership positions from R&D to product management. Steven holds an MBA from Columbia Business School and dual master’s degrees in nuclear engineering and materials science from the University of Michigan.
