Please note: This session is part of AI Day. Learn more and register for the full event here.
Did you know more than 1 billion tons of food is wasted every year? What if we could reduce that? What if optimized AI was the key?
Building AI applications to solve real-world problems is our common challenge as developers. To solve a challenge like food waste, optimization is important.
In this session, we’ll show you how to optimize and accelerate the performance of your deep learning neural network model to help you achieve really fast AI inference at the edge. This is made possible with Intel’s OpenVINO™, an open-source toolkit that enables neural network model optimization and easy deployment across multiple hardware platforms.
• How to run fast AI inference with your existing hardware
• How to set up and run AI inference with just 6 lines of code
• How to use the OpenVINO optimization tools to run faster AI inference
An established Innovation Evangelist and coder at heart, she has built numerous AI-first prototypes with her team of data scientists and ML engineers. Many of her rapid prototypes were adopted by Retail businesses around the globe. In her previous...
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
Richard Nass’ key responsibilities include setting the direction for all aspects of OpenSystems Media’s Embedded and IoT portfolios, including digital, print, and live events. Previously, Nass was the Brand Director or UBM’s award-winning Design...